COURSE FORMAT & DELIVERY DETAILS Learn On Your Terms, With Complete Flexibility and Zero Risk
This course is designed for professionals who demand control, clarity, and certainty. From the moment you enroll, you gain self-paced, on-demand access to a structured, immersive learning experience that adapts to your schedule, not the other way around. There are no fixed start dates, no weekly deadlines, and no time zones to navigate. You decide when to begin, how fast to progress, and where to pause. Whether you have ten minutes during a commute or two hours on a weekend, your learning moves with you. Fast Results, Measurable Progress, Lasting Access
Most learners complete the core curriculum in 4 to 6 weeks with consistent, focused effort. Many report implementing their first AI-enhanced SharePoint automation within days of starting. The knowledge builds cumulatively, so the sooner you engage, the faster you see tangible outcomes in your daily work. Once enrolled, you receive lifetime access to all course materials, including every future update at no additional cost. As Microsoft evolves SharePoint and AI integrations advance, your access evolves with them-automatically, seamlessly, and permanently. Access Anywhere, Anytime, on Any Device
The entire course platform is mobile-friendly and optimized for 24/7 global access. Whether you're using a desktop at the office, a tablet at home, or your smartphone between meetings, your progress is synced and secure. Learn during downtime, review concepts on the go, and apply what you’ve mastered directly within your organisation’s SharePoint environment-all without disruption to your workflow. Direct Expert Guidance and Continuous Support
You are not learning in isolation. This course includes ongoing instructor support through structured feedback channels. Whether you’re troubleshooting a workflow integration, refining an AI model configuration, or designing a governance policy, expert guidance is available to clarify, correct, and confirm your understanding. Your questions are addressed with precision, ensuring you build confidence with every module. A Globally Recognised Certificate of Completion
Upon finishing the course, you earn a Certificate of Completion issued by The Art of Service. This credential is respected across industries and geographies, recognised for its alignment with enterprise-grade best practices and real-world applicability. The certificate validates your capability to implement AI-driven automation within SharePoint environments, enhancing your credibility with employers, clients, and peers. It is shareable, verifiable, and designed to strengthen your professional portfolio. Transparent, Upfront Pricing-No Hidden Fees
What you see is exactly what you get. There are no recurring charges, no surprise fees, and no premium tiers. The one-time payment grants full, immediate access to every component of the course. No upsells. No lockouts. No fine print. You pay once, own it forever. Multiple Secure Payment Options Accepted
We accept all major payment methods including Visa, Mastercard, and PayPal. Transactions are processed through encrypted, industry-standard gateways to ensure your financial data remains private and secure. Enroll with confidence, knowing your payment experience is as seamless as your learning journey. 100% Satisfied or Refunded-Zero Risk Enrollment
We stand behind the value of this course with a guaranteed satisfaction or refund promise. If at any point within 30 days you feel this course does not meet your expectations, contact us for a full refund. No forms, no hoops, no hassle. This is our commitment to your success. The risk is on us. The reward is yours. Clear Enrollment and Access Process
After enrollment, you will receive a confirmation email acknowledging your registration. Once the course materials are fully prepared and available, your access details will be delivered separately in a follow-up communication. This ensures a smooth, error-free experience, with all content quality-checked and ready for optimal learning. Will This Work for Me? Absolutely-No Matter Your Background
This course is engineered for real impact across roles and experience levels. Whether you’re a SharePoint administrator, business analyst, IT consultant, or digital transformation lead, the content is tailored to deliver immediate utility. The structured progression from foundational principles to advanced implementation ensures you build competence systematically. For example, one enterprise project manager used Module 5 to automate document routing for compliance audits, cutting processing time by 70%. A global pharmaceutical company’s IT director applied Module 12’s governance frameworks to deploy AI-powered metadata tagging across 50,000 legacy files with zero manual input. These are not hypotheticals. These are verified outcomes from professionals just like you. This works even if: you have limited prior AI experience, your organisation resists change, your technical background is non-developer, or you’ve struggled with automation tools before. The step-by-step methodology, role-specific workflows, and battle-tested templates remove complexity and deliver repeatable success. With explicit instructions, real-world case studies, and risk-reversal support, this course eliminates uncertainty. You’re not gambling on vague promises. You’re investing in a proven, structured path to enterprise automation mastery. The tools, the knowledge, the support, and the recognition-all are yours, risk-free, for life.
EXTENSIVE & DETAILED COURSE CURRICULUM
Module 1: Foundations of AI-Powered SharePoint Automation - Understanding the evolution of SharePoint in the modern enterprise
- Defining enterprise automation and its strategic business impact
- Core components of AI integration in Microsoft 365 environments
- Role of AI in transforming document management, workflows, and collaboration
- Differentiating between robotic process automation and intelligent automation
- Key benefits of AI-driven SharePoint solutions for productivity and compliance
- Exploring common enterprise pain points solved by automation
- Mapping automation use cases to business functions
- Introduction to Microsoft Graph and its role in intelligent content services
- Overview of Azure AI services relevant to SharePoint automation
- Security and compliance considerations in AI-enhanced environments
- Establishing success metrics for automation initiatives
- Introduction to low-code and no-code automation tools in SharePoint
- Understanding user adoption challenges and change management principles
- Setting up a personal learning lab for SharePoint and AI experiments
Module 2: Architecting the AI-SharePoint Integration Framework - Designing a scalable architecture for AI-powered SharePoint solutions
- Integration patterns between SharePoint Online and AI services
- Data flow models for automated content processing
- Selecting the right AI model types for specific automation scenarios
- Mapping content ingestion to AI model execution workflows
- Designing feedback loops for continuous AI improvement
- Building resilient pipelines with error handling and monitoring
- Architecting for high availability and failover scenarios
- Version control strategies for AI automation configurations
- Designing modular components for reuse and maintenance
- Leveraging SharePoint site architectures to support automation
- Role-based access design in AI-enabled environments
- Planning for cross-functional team collaboration on automation projects
- Establishing naming conventions and documentation standards
- Integrating automation governance into enterprise IT frameworks
Module 3: Mastering AI Tools and Services for SharePoint - Overview of Azure Cognitive Services for text and document analysis
- Utilising Form Recogniser for intelligent data extraction from forms
- Implementing Language Understanding (LUIS) for intent-based processing
- Using Azure Computer Vision for image metadata tagging in SharePoint libraries
- Applying Text Analytics for sentiment and key phrase extraction
- Integrating Custom Vision for brand and object recognition in images
- Configuring Azure Machine Learning for predictive classification models
- Deploying pre-trained AI models for out-of-the-box capabilities
- Connecting AI services to SharePoint via Power Automate
- Using Azure Logic Apps for complex orchestration workflows
- Configuring Azure Functions for custom AI processing logic
- Securing API keys and managing credentials in automation flows
- Monitoring AI service performance and utilisation costs
- Choosing between serverless and containerised AI deployments
- Testing AI outputs for accuracy and consistency before production
Module 4: Intelligent Document Processing and Classification - Automating document ingestion from email, forms, and scanners
- Configuring AI models to identify document types automatically
- Extracting structured data from invoices, contracts, and forms
- Validating extracted data against business rules and master data
- Automatically classifying documents into appropriate SharePoint libraries
- Applying metadata based on AI-derived content insights
- Handling multi-page and multi-language documents
- Processing handwritten text with AI handwriting recognition
- Building confidence scoring systems for extracted data
- Routing documents to reviewers based on AI assessment
- Creating audit trails for document processing events
- Archiving obsolete documents based on AI-driven lifecycle rules
- Enabling searchability through AI-generated keywords and tags
- Integrating optical character recognition with intelligent layout analysis
- Optimising document processing for compliance with GDPR and other regulations
Module 5: Advanced Workflow Automation with AI Decision Logic - Replacing manual approvals with AI-based routing decisions
- Designing dynamic workflows that adapt to content and context
- Using sentiment analysis to prioritise customer feedback workflows
- Automating escalation paths based on urgency and risk scoring
- Integrating AI-generated risk assessments into approval chains
- Creating conditional actions based on language and tone detection
- Automating contract review workflows with clause detection
- Building feedback loops where workflows improve with usage
- Implementing adaptive forms that change based on user input
- Using AI to detect anomalies in submitted data
- Automating employee onboarding with intelligent document verification
- Linking workflows to external systems via AI-powered data mapping
- Reducing bottlenecks with predictive wait time analysis
- Generating workflow completion summaries using natural language generation
- Visualising workflow performance with AI-enhanced analytics
Module 6: Knowledge Management and AI-Driven Search - Transforming SharePoint into an intelligent knowledge base
- Automatically tagging and indexing content for discoverability
- Building semantic search capabilities with AI
- Using natural language queries to retrieve precise information
- Personalising search results based on user roles and history
- Creating intelligent FAQ systems powered by knowledge articles
- Automatically suggesting related content during document editing
- Identifying knowledge gaps through AI content gap analysis
- Recommending experts based on document authorship and expertise tagging
- Automating content summarisation for quick review
- Generating knowledge insights from meeting transcripts stored in SharePoint
- Creating topic clusters from unstructured content
- Linking related documents through AI-assisted relationship mapping
- Measuring knowledge reuse and impact on productivity
- Preventing information silos with AI-driven content redistribution
Module 7: AI for Compliance, Risk, and Governance - Automating records management and retention policies
- Detecting sensitive information using AI-powered content inspection
- Classifying documents based on confidentiality and compliance requirements
- Automating regulatory reporting with AI-generated summaries
- Monitoring user behaviour for anomalies and potential insider threats
- Implementing AI-driven audit trail analysis
- Enforcing data handling policies based on AI classification
- Automating compliance certification workflows
- Identifying policy violations through natural language processing
- Generating risk heat maps from document content analysis
- Supporting eDiscovery with AI-enhanced search and categorisation
- Reducing legal review costs through intelligent document triage
- Integrating with Microsoft Purview for unified governance
- Automating data subject access request processing
- Building governance dashboards with AI-powered insights
Module 8: Personalisation and User Experience Enhancement - Customising SharePoint portals based on user roles and preferences
- Delivering personalised content recommendations using AI
- Automatically surfacing relevant documents on user homepages
- Reducing information overload through intelligent filtering
- Analysing user engagement patterns to improve content placement
- Implementing adaptive navigation based on user behaviour
- Creating intelligent onboarding experiences for new employees
- Suggesting training resources based on user activity
- Automating language translation in multilingual teams
- Customising alerts and notifications using AI-driven relevance scoring
- Building dynamic dashboards that evolve with user needs
- Integrating AI chatbots for instant intranet support
- Analysing intranet feedback to prioritise improvements
- Measuring user satisfaction through sentiment analysis of comments
- Optimising content layout based on readability and engagement analytics
Module 9: AI Integration with Power Platform and Microsoft 365 - Connecting SharePoint to Power Apps using AI-powered logic
- Building intelligent business applications with AI components
- Using Power Automate cloud flows for cross-app automation
- Triggering AI actions from Microsoft Teams interactions
- Automating Outlook email processing with AI-enhanced rules
- Syncing AI insights from SharePoint to Power BI dashboards
- Using AI to generate data visualisations in Power BI
- Creating adaptive OneNote templates with AI-generated content
- Integrating AI with Planner and To Do for smart task management
- Using Microsoft Viva Topics to enhance employee knowledge discovery
- Automating meeting follow-ups from Teams with AI-generated summaries
- Linking AI workflows to Microsoft Bookings for intelligent scheduling
- Extending automation to Excel with AI-powered data prediction
- Creating intelligent Forms with dynamic branching and validation
- Using Power Virtual Agents to build AI chatbots for SharePoint support
Module 10: Developing AI-Enhanced Collaboration Workflows - Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
Module 1: Foundations of AI-Powered SharePoint Automation - Understanding the evolution of SharePoint in the modern enterprise
- Defining enterprise automation and its strategic business impact
- Core components of AI integration in Microsoft 365 environments
- Role of AI in transforming document management, workflows, and collaboration
- Differentiating between robotic process automation and intelligent automation
- Key benefits of AI-driven SharePoint solutions for productivity and compliance
- Exploring common enterprise pain points solved by automation
- Mapping automation use cases to business functions
- Introduction to Microsoft Graph and its role in intelligent content services
- Overview of Azure AI services relevant to SharePoint automation
- Security and compliance considerations in AI-enhanced environments
- Establishing success metrics for automation initiatives
- Introduction to low-code and no-code automation tools in SharePoint
- Understanding user adoption challenges and change management principles
- Setting up a personal learning lab for SharePoint and AI experiments
Module 2: Architecting the AI-SharePoint Integration Framework - Designing a scalable architecture for AI-powered SharePoint solutions
- Integration patterns between SharePoint Online and AI services
- Data flow models for automated content processing
- Selecting the right AI model types for specific automation scenarios
- Mapping content ingestion to AI model execution workflows
- Designing feedback loops for continuous AI improvement
- Building resilient pipelines with error handling and monitoring
- Architecting for high availability and failover scenarios
- Version control strategies for AI automation configurations
- Designing modular components for reuse and maintenance
- Leveraging SharePoint site architectures to support automation
- Role-based access design in AI-enabled environments
- Planning for cross-functional team collaboration on automation projects
- Establishing naming conventions and documentation standards
- Integrating automation governance into enterprise IT frameworks
Module 3: Mastering AI Tools and Services for SharePoint - Overview of Azure Cognitive Services for text and document analysis
- Utilising Form Recogniser for intelligent data extraction from forms
- Implementing Language Understanding (LUIS) for intent-based processing
- Using Azure Computer Vision for image metadata tagging in SharePoint libraries
- Applying Text Analytics for sentiment and key phrase extraction
- Integrating Custom Vision for brand and object recognition in images
- Configuring Azure Machine Learning for predictive classification models
- Deploying pre-trained AI models for out-of-the-box capabilities
- Connecting AI services to SharePoint via Power Automate
- Using Azure Logic Apps for complex orchestration workflows
- Configuring Azure Functions for custom AI processing logic
- Securing API keys and managing credentials in automation flows
- Monitoring AI service performance and utilisation costs
- Choosing between serverless and containerised AI deployments
- Testing AI outputs for accuracy and consistency before production
Module 4: Intelligent Document Processing and Classification - Automating document ingestion from email, forms, and scanners
- Configuring AI models to identify document types automatically
- Extracting structured data from invoices, contracts, and forms
- Validating extracted data against business rules and master data
- Automatically classifying documents into appropriate SharePoint libraries
- Applying metadata based on AI-derived content insights
- Handling multi-page and multi-language documents
- Processing handwritten text with AI handwriting recognition
- Building confidence scoring systems for extracted data
- Routing documents to reviewers based on AI assessment
- Creating audit trails for document processing events
- Archiving obsolete documents based on AI-driven lifecycle rules
- Enabling searchability through AI-generated keywords and tags
- Integrating optical character recognition with intelligent layout analysis
- Optimising document processing for compliance with GDPR and other regulations
Module 5: Advanced Workflow Automation with AI Decision Logic - Replacing manual approvals with AI-based routing decisions
- Designing dynamic workflows that adapt to content and context
- Using sentiment analysis to prioritise customer feedback workflows
- Automating escalation paths based on urgency and risk scoring
- Integrating AI-generated risk assessments into approval chains
- Creating conditional actions based on language and tone detection
- Automating contract review workflows with clause detection
- Building feedback loops where workflows improve with usage
- Implementing adaptive forms that change based on user input
- Using AI to detect anomalies in submitted data
- Automating employee onboarding with intelligent document verification
- Linking workflows to external systems via AI-powered data mapping
- Reducing bottlenecks with predictive wait time analysis
- Generating workflow completion summaries using natural language generation
- Visualising workflow performance with AI-enhanced analytics
Module 6: Knowledge Management and AI-Driven Search - Transforming SharePoint into an intelligent knowledge base
- Automatically tagging and indexing content for discoverability
- Building semantic search capabilities with AI
- Using natural language queries to retrieve precise information
- Personalising search results based on user roles and history
- Creating intelligent FAQ systems powered by knowledge articles
- Automatically suggesting related content during document editing
- Identifying knowledge gaps through AI content gap analysis
- Recommending experts based on document authorship and expertise tagging
- Automating content summarisation for quick review
- Generating knowledge insights from meeting transcripts stored in SharePoint
- Creating topic clusters from unstructured content
- Linking related documents through AI-assisted relationship mapping
- Measuring knowledge reuse and impact on productivity
- Preventing information silos with AI-driven content redistribution
Module 7: AI for Compliance, Risk, and Governance - Automating records management and retention policies
- Detecting sensitive information using AI-powered content inspection
- Classifying documents based on confidentiality and compliance requirements
- Automating regulatory reporting with AI-generated summaries
- Monitoring user behaviour for anomalies and potential insider threats
- Implementing AI-driven audit trail analysis
- Enforcing data handling policies based on AI classification
- Automating compliance certification workflows
- Identifying policy violations through natural language processing
- Generating risk heat maps from document content analysis
- Supporting eDiscovery with AI-enhanced search and categorisation
- Reducing legal review costs through intelligent document triage
- Integrating with Microsoft Purview for unified governance
- Automating data subject access request processing
- Building governance dashboards with AI-powered insights
Module 8: Personalisation and User Experience Enhancement - Customising SharePoint portals based on user roles and preferences
- Delivering personalised content recommendations using AI
- Automatically surfacing relevant documents on user homepages
- Reducing information overload through intelligent filtering
- Analysing user engagement patterns to improve content placement
- Implementing adaptive navigation based on user behaviour
- Creating intelligent onboarding experiences for new employees
- Suggesting training resources based on user activity
- Automating language translation in multilingual teams
- Customising alerts and notifications using AI-driven relevance scoring
- Building dynamic dashboards that evolve with user needs
- Integrating AI chatbots for instant intranet support
- Analysing intranet feedback to prioritise improvements
- Measuring user satisfaction through sentiment analysis of comments
- Optimising content layout based on readability and engagement analytics
Module 9: AI Integration with Power Platform and Microsoft 365 - Connecting SharePoint to Power Apps using AI-powered logic
- Building intelligent business applications with AI components
- Using Power Automate cloud flows for cross-app automation
- Triggering AI actions from Microsoft Teams interactions
- Automating Outlook email processing with AI-enhanced rules
- Syncing AI insights from SharePoint to Power BI dashboards
- Using AI to generate data visualisations in Power BI
- Creating adaptive OneNote templates with AI-generated content
- Integrating AI with Planner and To Do for smart task management
- Using Microsoft Viva Topics to enhance employee knowledge discovery
- Automating meeting follow-ups from Teams with AI-generated summaries
- Linking AI workflows to Microsoft Bookings for intelligent scheduling
- Extending automation to Excel with AI-powered data prediction
- Creating intelligent Forms with dynamic branching and validation
- Using Power Virtual Agents to build AI chatbots for SharePoint support
Module 10: Developing AI-Enhanced Collaboration Workflows - Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Designing a scalable architecture for AI-powered SharePoint solutions
- Integration patterns between SharePoint Online and AI services
- Data flow models for automated content processing
- Selecting the right AI model types for specific automation scenarios
- Mapping content ingestion to AI model execution workflows
- Designing feedback loops for continuous AI improvement
- Building resilient pipelines with error handling and monitoring
- Architecting for high availability and failover scenarios
- Version control strategies for AI automation configurations
- Designing modular components for reuse and maintenance
- Leveraging SharePoint site architectures to support automation
- Role-based access design in AI-enabled environments
- Planning for cross-functional team collaboration on automation projects
- Establishing naming conventions and documentation standards
- Integrating automation governance into enterprise IT frameworks
Module 3: Mastering AI Tools and Services for SharePoint - Overview of Azure Cognitive Services for text and document analysis
- Utilising Form Recogniser for intelligent data extraction from forms
- Implementing Language Understanding (LUIS) for intent-based processing
- Using Azure Computer Vision for image metadata tagging in SharePoint libraries
- Applying Text Analytics for sentiment and key phrase extraction
- Integrating Custom Vision for brand and object recognition in images
- Configuring Azure Machine Learning for predictive classification models
- Deploying pre-trained AI models for out-of-the-box capabilities
- Connecting AI services to SharePoint via Power Automate
- Using Azure Logic Apps for complex orchestration workflows
- Configuring Azure Functions for custom AI processing logic
- Securing API keys and managing credentials in automation flows
- Monitoring AI service performance and utilisation costs
- Choosing between serverless and containerised AI deployments
- Testing AI outputs for accuracy and consistency before production
Module 4: Intelligent Document Processing and Classification - Automating document ingestion from email, forms, and scanners
- Configuring AI models to identify document types automatically
- Extracting structured data from invoices, contracts, and forms
- Validating extracted data against business rules and master data
- Automatically classifying documents into appropriate SharePoint libraries
- Applying metadata based on AI-derived content insights
- Handling multi-page and multi-language documents
- Processing handwritten text with AI handwriting recognition
- Building confidence scoring systems for extracted data
- Routing documents to reviewers based on AI assessment
- Creating audit trails for document processing events
- Archiving obsolete documents based on AI-driven lifecycle rules
- Enabling searchability through AI-generated keywords and tags
- Integrating optical character recognition with intelligent layout analysis
- Optimising document processing for compliance with GDPR and other regulations
Module 5: Advanced Workflow Automation with AI Decision Logic - Replacing manual approvals with AI-based routing decisions
- Designing dynamic workflows that adapt to content and context
- Using sentiment analysis to prioritise customer feedback workflows
- Automating escalation paths based on urgency and risk scoring
- Integrating AI-generated risk assessments into approval chains
- Creating conditional actions based on language and tone detection
- Automating contract review workflows with clause detection
- Building feedback loops where workflows improve with usage
- Implementing adaptive forms that change based on user input
- Using AI to detect anomalies in submitted data
- Automating employee onboarding with intelligent document verification
- Linking workflows to external systems via AI-powered data mapping
- Reducing bottlenecks with predictive wait time analysis
- Generating workflow completion summaries using natural language generation
- Visualising workflow performance with AI-enhanced analytics
Module 6: Knowledge Management and AI-Driven Search - Transforming SharePoint into an intelligent knowledge base
- Automatically tagging and indexing content for discoverability
- Building semantic search capabilities with AI
- Using natural language queries to retrieve precise information
- Personalising search results based on user roles and history
- Creating intelligent FAQ systems powered by knowledge articles
- Automatically suggesting related content during document editing
- Identifying knowledge gaps through AI content gap analysis
- Recommending experts based on document authorship and expertise tagging
- Automating content summarisation for quick review
- Generating knowledge insights from meeting transcripts stored in SharePoint
- Creating topic clusters from unstructured content
- Linking related documents through AI-assisted relationship mapping
- Measuring knowledge reuse and impact on productivity
- Preventing information silos with AI-driven content redistribution
Module 7: AI for Compliance, Risk, and Governance - Automating records management and retention policies
- Detecting sensitive information using AI-powered content inspection
- Classifying documents based on confidentiality and compliance requirements
- Automating regulatory reporting with AI-generated summaries
- Monitoring user behaviour for anomalies and potential insider threats
- Implementing AI-driven audit trail analysis
- Enforcing data handling policies based on AI classification
- Automating compliance certification workflows
- Identifying policy violations through natural language processing
- Generating risk heat maps from document content analysis
- Supporting eDiscovery with AI-enhanced search and categorisation
- Reducing legal review costs through intelligent document triage
- Integrating with Microsoft Purview for unified governance
- Automating data subject access request processing
- Building governance dashboards with AI-powered insights
Module 8: Personalisation and User Experience Enhancement - Customising SharePoint portals based on user roles and preferences
- Delivering personalised content recommendations using AI
- Automatically surfacing relevant documents on user homepages
- Reducing information overload through intelligent filtering
- Analysing user engagement patterns to improve content placement
- Implementing adaptive navigation based on user behaviour
- Creating intelligent onboarding experiences for new employees
- Suggesting training resources based on user activity
- Automating language translation in multilingual teams
- Customising alerts and notifications using AI-driven relevance scoring
- Building dynamic dashboards that evolve with user needs
- Integrating AI chatbots for instant intranet support
- Analysing intranet feedback to prioritise improvements
- Measuring user satisfaction through sentiment analysis of comments
- Optimising content layout based on readability and engagement analytics
Module 9: AI Integration with Power Platform and Microsoft 365 - Connecting SharePoint to Power Apps using AI-powered logic
- Building intelligent business applications with AI components
- Using Power Automate cloud flows for cross-app automation
- Triggering AI actions from Microsoft Teams interactions
- Automating Outlook email processing with AI-enhanced rules
- Syncing AI insights from SharePoint to Power BI dashboards
- Using AI to generate data visualisations in Power BI
- Creating adaptive OneNote templates with AI-generated content
- Integrating AI with Planner and To Do for smart task management
- Using Microsoft Viva Topics to enhance employee knowledge discovery
- Automating meeting follow-ups from Teams with AI-generated summaries
- Linking AI workflows to Microsoft Bookings for intelligent scheduling
- Extending automation to Excel with AI-powered data prediction
- Creating intelligent Forms with dynamic branching and validation
- Using Power Virtual Agents to build AI chatbots for SharePoint support
Module 10: Developing AI-Enhanced Collaboration Workflows - Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Automating document ingestion from email, forms, and scanners
- Configuring AI models to identify document types automatically
- Extracting structured data from invoices, contracts, and forms
- Validating extracted data against business rules and master data
- Automatically classifying documents into appropriate SharePoint libraries
- Applying metadata based on AI-derived content insights
- Handling multi-page and multi-language documents
- Processing handwritten text with AI handwriting recognition
- Building confidence scoring systems for extracted data
- Routing documents to reviewers based on AI assessment
- Creating audit trails for document processing events
- Archiving obsolete documents based on AI-driven lifecycle rules
- Enabling searchability through AI-generated keywords and tags
- Integrating optical character recognition with intelligent layout analysis
- Optimising document processing for compliance with GDPR and other regulations
Module 5: Advanced Workflow Automation with AI Decision Logic - Replacing manual approvals with AI-based routing decisions
- Designing dynamic workflows that adapt to content and context
- Using sentiment analysis to prioritise customer feedback workflows
- Automating escalation paths based on urgency and risk scoring
- Integrating AI-generated risk assessments into approval chains
- Creating conditional actions based on language and tone detection
- Automating contract review workflows with clause detection
- Building feedback loops where workflows improve with usage
- Implementing adaptive forms that change based on user input
- Using AI to detect anomalies in submitted data
- Automating employee onboarding with intelligent document verification
- Linking workflows to external systems via AI-powered data mapping
- Reducing bottlenecks with predictive wait time analysis
- Generating workflow completion summaries using natural language generation
- Visualising workflow performance with AI-enhanced analytics
Module 6: Knowledge Management and AI-Driven Search - Transforming SharePoint into an intelligent knowledge base
- Automatically tagging and indexing content for discoverability
- Building semantic search capabilities with AI
- Using natural language queries to retrieve precise information
- Personalising search results based on user roles and history
- Creating intelligent FAQ systems powered by knowledge articles
- Automatically suggesting related content during document editing
- Identifying knowledge gaps through AI content gap analysis
- Recommending experts based on document authorship and expertise tagging
- Automating content summarisation for quick review
- Generating knowledge insights from meeting transcripts stored in SharePoint
- Creating topic clusters from unstructured content
- Linking related documents through AI-assisted relationship mapping
- Measuring knowledge reuse and impact on productivity
- Preventing information silos with AI-driven content redistribution
Module 7: AI for Compliance, Risk, and Governance - Automating records management and retention policies
- Detecting sensitive information using AI-powered content inspection
- Classifying documents based on confidentiality and compliance requirements
- Automating regulatory reporting with AI-generated summaries
- Monitoring user behaviour for anomalies and potential insider threats
- Implementing AI-driven audit trail analysis
- Enforcing data handling policies based on AI classification
- Automating compliance certification workflows
- Identifying policy violations through natural language processing
- Generating risk heat maps from document content analysis
- Supporting eDiscovery with AI-enhanced search and categorisation
- Reducing legal review costs through intelligent document triage
- Integrating with Microsoft Purview for unified governance
- Automating data subject access request processing
- Building governance dashboards with AI-powered insights
Module 8: Personalisation and User Experience Enhancement - Customising SharePoint portals based on user roles and preferences
- Delivering personalised content recommendations using AI
- Automatically surfacing relevant documents on user homepages
- Reducing information overload through intelligent filtering
- Analysing user engagement patterns to improve content placement
- Implementing adaptive navigation based on user behaviour
- Creating intelligent onboarding experiences for new employees
- Suggesting training resources based on user activity
- Automating language translation in multilingual teams
- Customising alerts and notifications using AI-driven relevance scoring
- Building dynamic dashboards that evolve with user needs
- Integrating AI chatbots for instant intranet support
- Analysing intranet feedback to prioritise improvements
- Measuring user satisfaction through sentiment analysis of comments
- Optimising content layout based on readability and engagement analytics
Module 9: AI Integration with Power Platform and Microsoft 365 - Connecting SharePoint to Power Apps using AI-powered logic
- Building intelligent business applications with AI components
- Using Power Automate cloud flows for cross-app automation
- Triggering AI actions from Microsoft Teams interactions
- Automating Outlook email processing with AI-enhanced rules
- Syncing AI insights from SharePoint to Power BI dashboards
- Using AI to generate data visualisations in Power BI
- Creating adaptive OneNote templates with AI-generated content
- Integrating AI with Planner and To Do for smart task management
- Using Microsoft Viva Topics to enhance employee knowledge discovery
- Automating meeting follow-ups from Teams with AI-generated summaries
- Linking AI workflows to Microsoft Bookings for intelligent scheduling
- Extending automation to Excel with AI-powered data prediction
- Creating intelligent Forms with dynamic branching and validation
- Using Power Virtual Agents to build AI chatbots for SharePoint support
Module 10: Developing AI-Enhanced Collaboration Workflows - Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Transforming SharePoint into an intelligent knowledge base
- Automatically tagging and indexing content for discoverability
- Building semantic search capabilities with AI
- Using natural language queries to retrieve precise information
- Personalising search results based on user roles and history
- Creating intelligent FAQ systems powered by knowledge articles
- Automatically suggesting related content during document editing
- Identifying knowledge gaps through AI content gap analysis
- Recommending experts based on document authorship and expertise tagging
- Automating content summarisation for quick review
- Generating knowledge insights from meeting transcripts stored in SharePoint
- Creating topic clusters from unstructured content
- Linking related documents through AI-assisted relationship mapping
- Measuring knowledge reuse and impact on productivity
- Preventing information silos with AI-driven content redistribution
Module 7: AI for Compliance, Risk, and Governance - Automating records management and retention policies
- Detecting sensitive information using AI-powered content inspection
- Classifying documents based on confidentiality and compliance requirements
- Automating regulatory reporting with AI-generated summaries
- Monitoring user behaviour for anomalies and potential insider threats
- Implementing AI-driven audit trail analysis
- Enforcing data handling policies based on AI classification
- Automating compliance certification workflows
- Identifying policy violations through natural language processing
- Generating risk heat maps from document content analysis
- Supporting eDiscovery with AI-enhanced search and categorisation
- Reducing legal review costs through intelligent document triage
- Integrating with Microsoft Purview for unified governance
- Automating data subject access request processing
- Building governance dashboards with AI-powered insights
Module 8: Personalisation and User Experience Enhancement - Customising SharePoint portals based on user roles and preferences
- Delivering personalised content recommendations using AI
- Automatically surfacing relevant documents on user homepages
- Reducing information overload through intelligent filtering
- Analysing user engagement patterns to improve content placement
- Implementing adaptive navigation based on user behaviour
- Creating intelligent onboarding experiences for new employees
- Suggesting training resources based on user activity
- Automating language translation in multilingual teams
- Customising alerts and notifications using AI-driven relevance scoring
- Building dynamic dashboards that evolve with user needs
- Integrating AI chatbots for instant intranet support
- Analysing intranet feedback to prioritise improvements
- Measuring user satisfaction through sentiment analysis of comments
- Optimising content layout based on readability and engagement analytics
Module 9: AI Integration with Power Platform and Microsoft 365 - Connecting SharePoint to Power Apps using AI-powered logic
- Building intelligent business applications with AI components
- Using Power Automate cloud flows for cross-app automation
- Triggering AI actions from Microsoft Teams interactions
- Automating Outlook email processing with AI-enhanced rules
- Syncing AI insights from SharePoint to Power BI dashboards
- Using AI to generate data visualisations in Power BI
- Creating adaptive OneNote templates with AI-generated content
- Integrating AI with Planner and To Do for smart task management
- Using Microsoft Viva Topics to enhance employee knowledge discovery
- Automating meeting follow-ups from Teams with AI-generated summaries
- Linking AI workflows to Microsoft Bookings for intelligent scheduling
- Extending automation to Excel with AI-powered data prediction
- Creating intelligent Forms with dynamic branching and validation
- Using Power Virtual Agents to build AI chatbots for SharePoint support
Module 10: Developing AI-Enhanced Collaboration Workflows - Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Customising SharePoint portals based on user roles and preferences
- Delivering personalised content recommendations using AI
- Automatically surfacing relevant documents on user homepages
- Reducing information overload through intelligent filtering
- Analysing user engagement patterns to improve content placement
- Implementing adaptive navigation based on user behaviour
- Creating intelligent onboarding experiences for new employees
- Suggesting training resources based on user activity
- Automating language translation in multilingual teams
- Customising alerts and notifications using AI-driven relevance scoring
- Building dynamic dashboards that evolve with user needs
- Integrating AI chatbots for instant intranet support
- Analysing intranet feedback to prioritise improvements
- Measuring user satisfaction through sentiment analysis of comments
- Optimising content layout based on readability and engagement analytics
Module 9: AI Integration with Power Platform and Microsoft 365 - Connecting SharePoint to Power Apps using AI-powered logic
- Building intelligent business applications with AI components
- Using Power Automate cloud flows for cross-app automation
- Triggering AI actions from Microsoft Teams interactions
- Automating Outlook email processing with AI-enhanced rules
- Syncing AI insights from SharePoint to Power BI dashboards
- Using AI to generate data visualisations in Power BI
- Creating adaptive OneNote templates with AI-generated content
- Integrating AI with Planner and To Do for smart task management
- Using Microsoft Viva Topics to enhance employee knowledge discovery
- Automating meeting follow-ups from Teams with AI-generated summaries
- Linking AI workflows to Microsoft Bookings for intelligent scheduling
- Extending automation to Excel with AI-powered data prediction
- Creating intelligent Forms with dynamic branching and validation
- Using Power Virtual Agents to build AI chatbots for SharePoint support
Module 10: Developing AI-Enhanced Collaboration Workflows - Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Automating project setup with AI-driven team composition suggestions
- Generating meeting agendas from previous discussions and action items
- Identifying collaboration bottlenecks using engagement analytics
- Matching team members based on skills and availability
- Automating status reporting with AI-generated summaries
- Integrating AI into shared document workspaces
- Detecting conflicting edits and proposing resolution workflows
- Generating collaborative summaries from multiple contributors
- Applying AI to assess communication clarity in team content
- Automating feedback collection and sentiment analysis
- Creating intelligent recognition systems for team contributions
- Supporting hybrid work with AI-driven focus time optimisation
- Tracking decision history in collaborative projects
- Alerting teams to stalled tasks using predictive analytics
- Enhancing brainstorming sessions with AI idea clustering
Module 11: Enterprise-Scale Deployment and Change Management - Developing a phased rollout strategy for AI automation
- Piloting AI solutions with defined success criteria
- Gaining stakeholder buy-in through demonstrable ROI
- Addressing resistance to automation with change communication plans
- Training end users with role-specific AI guidance materials
- Creating super-user networks to support adoption
- Measuring user adoption and adjusting strategies accordingly
- Documenting operational procedures for ongoing support
- Designing helpdesk escalation paths for AI issues
- Managing version transitions when automation updates occur
- Establishing feedback mechanisms for continuous improvement
- Scaling AI solutions from departmental to enterprise-wide use
- Aligning automation projects with digital transformation goals
- Integrating AI success stories into internal communications
- Building a business case for additional AI investments
Module 12: Monitoring, Optimisation, and Continuous Improvement - Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Implementing telemetry for tracking automation performance
- Using AI to detect workflow inefficiencies and suggest improvements
- Analysing error logs to identify recurring automation issues
- Setting up alerts for abnormal processing patterns
- Measuring cost savings and productivity gains from automation
- Optimising AI model accuracy through user feedback loops
- Retraining models with new data to maintain performance
- Conducting regular audits of automated workflows
- Updating approval logic based on changing business rules
- Automating health checks for AI services and connectivity
- Generating monthly performance reports with AI insights
- Identifying underutilised automation capabilities
- Improving user experience based on automation interaction data
- Aligning automation KPIs with organisational objectives
- Creating a continuous improvement roadmap for AI solutions
Module 13: Real-World AI-SharePoint Projects and Case Studies - Project 1: Automating invoice processing for finance teams
- Project 2: Implementing intelligent onboarding for HR departments
- Project 3: Building a contract lifecycle management system
- Project 4: Creating a self-serve employee knowledge hub
- Project 5: Automating compliance reporting for regulated industries
- Project 6: Developing a customer feedback triage system
- Project 7: Implementing AI-driven project status dashboards
- Project 8: Automating legal document intake and routing
- Project 9: Building a risk assessment engine for vendor onboarding
- Project 10: Creating a smart intranet portal with personalised feeds
- Analysing healthcare sector automation for patient records
- Reviewing manufacturing use case for safety incident reporting
- Studying financial services implementation of fraud detection
- Examining education institution use of AI for student support
- Exploring government agency deployment for citizen service requests
Module 14: Certification, Career Advancement, and Next Steps - Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service
- Preparing your portfolio of AI-SharePoint automation projects
- Documenting your technical and business impact achievements
- Reviewing key competencies validated by The Art of Service
- Submitting your completion requirements for certification
- Understanding how the Certificate of Completion enhances your resume
- Positioning your skills for promotions or new roles
- Networking with other AI automation professionals
- Joining enterprise architecture and digital transformation communities
- Identifying advanced learning paths in AI and cloud integration
- Staying updated with Microsoft 365 and AI service releases
- Contributing to internal automation centres of excellence
- Pursuing advisory or consulting opportunities with your new expertise
- Developing reusable automation templates for future use
- Creating an automation maturity roadmap for your organisation
- Receiving ongoing updates and community insights from The Art of Service