What does the Scaling AI-Powered Applications course cover?
Scaling AI-Powered Applications is covered here in 7 modules: Introduction to MLOps and Model Serving: Overview of key MLOps tools and technologies, MLOps Fundamentals: MLOps workflows and pipelines, Model evaluation and selection, Model Serving Fundamentals: Model monitoring and logging, Model updating and maintenance and 4 more.
How do you approach Scaling AI-Powered Applications step by step?
The work is sequenced in 7 stages. It starts with Introduction to MLOps and Model Serving: Overview of key MLOps tools and technologies, moves through MLOps Fundamentals: MLOps workflows and pipelines, Model evaluation and selection and Model Serving Fundamentals: Model monitoring and logging, Model updating and maintenance, and ends at Hands-on Projects and Assignments: Personalized feedback and coaching.
What is in Module 1 of the Scaling AI-Powered Applications course?
Module 1 is Introduction to MLOps and Model Serving: Overview of key MLOps tools and technologies. It works through Defining MLOps and its role in AI-powered applications, understanding the importance of model serving in MLOps, Overview of key MLOps tools and technologies and 1 more. It sets the vocabulary the remaining 6 modules build on.
How is the Scaling AI-Powered Applications course delivered?
The Scaling AI-Powered Applications 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 Scaling AI-Powered Applications course cost?
The Scaling AI-Powered Applications 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.
More answers: what you get with every course, refund policy, all help answers.
Scaling AI-Powered Applications: Mastering MLOps and Model Serving for High-Performance Teams
Course Overview
This comprehensive course is designed to help high-performance teams master the art of scaling AI-powered applications using MLOps and model serving. Participants will gain hands-on experience with the latest tools and technologies, and receive a certificate upon completion issued by The Art of Service.Course Curriculum
Module 1. Introduction to MLOps and Model Serving: Overview of key MLOps tools and technologies
- Defining MLOps and its role in AI-powered applications
- Understanding the importance of model serving in MLOps
- Overview of key MLOps tools and technologies
- Introduction to model serving platforms and frameworks
Module 2. MLOps Fundamentals: MLOps workflows and pipelines, Model evaluation and selection
- MLOps workflows and pipelines
- Data preparation and feature engineering
- Model training and hyperparameter tuning
- Model evaluation and selection
- MLOps best practices and design patterns
Module 3. Model Serving Fundamentals: Model monitoring and logging, Model updating and maintenance
- Model serving architectures and design patterns
- Model deployment and serving platforms
- Model monitoring and logging
- Model updating and maintenance
- Model serving best practices and challenges
Module 4. Scaling MLOps and Model Serving: Load balancing and autoscaling
- Scaling MLOps workflows and pipelines
- Distributed training and hyperparameter tuning
- Scaling model serving and deployment
- Load balancing and autoscaling
- High availability and disaster recovery
Module 5. Advanced MLOps and Model Serving Topics: Edge AI and MLOps, Fairness and bias in MLOps
- Explainability and interpretability in MLOps
- Fairness and bias in MLOps
- Security and compliance in MLOps
- Multi-cloud and hybrid MLOps
- Edge AI and MLOps
Module 6. Case Studies and Real-World Applications: Group discussions and project work
- Real-world MLOps and model serving use cases
- Case studies of successful MLOps and model serving implementations
- Lessons learned and best practices from industry experts
- Group discussions and project work
Module 7. Hands-on Projects and Assignments: Personalized feedback and coaching
- Hands-on MLOps and model serving projects
- Assignments and quizzes to reinforce learning
- Personalized feedback and coaching
- Opportunity to work on real-world projects
Course Features
- Interactive and Engaging: Interactive lessons, quizzes, and assignments to keep you engaged and motivated
- Comprehensive and Personalized: Comprehensive curriculum with personalized feedback and coaching
- Up-to-date and Practical: Up-to-date and practical knowledge and skills that can be applied immediately
- Real-world Applications: Real-world applications and case studies to reinforce learning
- High-quality Content: High-quality content created by expert instructors
- Certification: Certificate of Completion issued by The Art of Service
- Flexible Learning: Flexible learning schedule with lifetime access to course materials
- User-friendly and Mobile-accessible: User-friendly and mobile-accessible course platform
- Community-driven: Community-driven discussion forums and group work
- Actionable Insights: Actionable insights and hands-on projects to reinforce learning
- Lifetime Access: Lifetime access to course materials and updates
- Gamification and Progress Tracking: Gamification and progress tracking to keep you motivated