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Mastering Artificial Intelligence and Machine Learning for Strategic Business Innovation

Mastering Artificial Intelligence and Machine Learning for Strategic Business Innovation

$197.00
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What does the Artificial Intelligence and Machine Learning for Strategic course cover?

Artificial Intelligence and Machine Learning for Strategic is covered here in 7 modules: Introduction to AI and ML: Defining AI and ML, History of AI and ML, AI and ML Fundamentals: Computer vision and image recognition, Strategic Framework for AI and ML: Building an AI and ML roadmap and 4 more.

How do you approach Artificial Intelligence and Machine Learning for Strategic step by step?

The work is sequenced in 7 stages. It starts with Introduction to AI and ML: Defining AI and ML, History of AI and ML, moves through AI and ML Fundamentals: Computer vision and image recognition and Strategic Framework for AI and ML: Building an AI and ML roadmap, and ends at Real-World Applications of AI and ML: AI and ML in marketing.

What is in Module 1 of the Artificial Intelligence and Machine Learning for Strategic course?

Module 1 is Introduction to AI and ML: Defining AI and ML, History of AI and ML. It works through defining AI and ML, history of AI and ML, key concepts and terminology and 2 more. It sets the vocabulary the remaining 6 modules build on.

How is the Artificial Intelligence and Machine Learning for Strategic course delivered?

The Artificial Intelligence and Machine Learning for Strategic course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Artificial Intelligence and Machine Learning for Strategic course cost?

The Artificial Intelligence and Machine Learning for Strategic course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Machine Learning in ISO IEC 42001 2023 - Artificial, Artificial Intelligence Empowerment and Human and Machine, Artificial Intelligence Collaboration and Human, Artificial Intelligence and Human-Machine Interaction.

More answers: what you get with every course, refund policy, all help answers.

Here is the extensive and detailed course curriculum for Mastering Artificial Intelligence and Machine Learning for Strategic Business Innovation:

Mastering Artificial Intelligence and Machine Learning for Strategic Business Innovation



Course Overview

This comprehensive course is designed to help business leaders and professionals master the strategic applications of artificial intelligence (AI) and machine learning (ML) to drive innovation and growth in their organizations. Participants will gain a deep understanding of AI and ML concepts, tools, and techniques, as well as practical experience in applying them to real-world business challenges.



Course Objectives

  • Understand the fundamentals of AI and ML, including key concepts, algorithms, and applications
  • Develop a strategic framework for leveraging AI and ML in business innovation
  • Learn how to identify and prioritize AI and ML opportunities in various business functions
  • Gain hands-on experience with popular AI and ML tools and platforms
  • Develop skills in data science, data visualization, and data storytelling
  • Understand the ethics and governance of AI and ML in business
  • Network with peers and experts in the field of AI and ML


Course Outline

Module 1. Introduction to AI and ML: Defining AI and ML, History of AI and ML

  • Defining AI and ML
  • History of AI and ML
  • Key concepts and terminology
  • Applications of AI and ML in business
  • Case studies: AI and ML in various industries

Module 2. AI and ML Fundamentals: Computer vision and image recognition

  • Machine learning algorithms: supervised, unsupervised, and reinforcement learning
  • Deep learning: convolutional neural networks (CNNs) and recurrent neural networks (RNNs)
  • Natural language processing (NLP) and text analytics
  • Computer vision and image recognition
  • Mathematics for AI and ML: linear algebra, calculus, and probability

Module 3. Strategic Framework for AI and ML: Building an AI and ML roadmap

  • Developing an AI and ML strategy for business innovation
  • Identifying and prioritizing AI and ML opportunities
  • Assessing AI and ML readiness in the organization
  • Building an AI and ML roadmap
  • Case studies: AI and ML strategy in various industries
  • Overview of popular AI and ML tools and platforms
  • Hands-on experience with TensorFlow, PyTorch, and Keras
  • Cloud-based AI and ML platforms: AWS, Azure, and Google Cloud
  • Specialized AI and ML tools: IBM Watson, Salesforce Einstein, and Microsoft Cognitive Services
  • Best practices for selecting and implementing AI and ML tools and platforms

Module 5. Data Science and Data Visualization: Best practices for in AI and ML

  • Data science for AI and ML: data preprocessing, feature engineering, and model evaluation
  • Data visualization: principles, tools, and techniques
  • Hands-on experience with data science and data visualization tools: Python, R, and Tableau
  • Best practices for data science and data visualization in AI and ML
  • Case studies: data science and data visualization in various industries

Module 6. Ethics and Governance of AI and ML: Accountability and liability in AI and ML

  • Ethics of AI and ML: bias, fairness, and transparency
  • Governance of AI and ML: policies, regulations, and standards
  • Accountability and liability in AI and ML
  • Best practices for ethics and governance in AI and ML
  • Case studies: ethics and governance in various industries

Module 7. Real-World Applications of AI and ML: AI and ML in marketing and sales

  • AI and ML in customer service and experience
  • AI and ML in marketing and sales
  • AI and ML in operations and supply chain management
  • AI and ML in finance and accounting
  • AI and ML in healthcare and life sciences


Certificate and Assessment

Participants who complete the course will receive a certificate issued by The Art of Service. The certificate is based on the completion of all course modules, assignments, and a final project.



Course Format

The course is delivered online, with interactive and engaging content, including:

  • Video lectures and tutorials
  • Hands-on projects and assignments
  • Case studies and group discussions
  • Live webinars and Q&A sessions
  • Self-paced learning and flexible scheduling


Course Features

  • Interactive and engaging content
  • Comprehensive and up-to-date curriculum
  • Personalized learning and support
  • Expert instructors and guest lecturers
  • Hands-on projects and real-world applications
  • Flexible learning and mobile accessibility
  • Community-driven and discussion forums
  • Actionable insights and takeaways
  • Lifetime access to course materials
  • Gamification and progress tracking
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