AWS Certified AI Practitioner Exam Prep

Overview

This course prepares learners for the AWS Certified AI Practitioner certification while building a strong foundation in artificial intelligence, machine learning, and generative AI on AWS. Designed for professionals working with AI-enabled applications and cloud technologies, the course explains key AI concepts, common use cases, and best practices for implementing AI solutions responsibly.

Learners will explore how AI and ML systems work, how generative AI models are applied in real-world scenarios, and how AWS services support the development and deployment of AI-powered applications. The course also focuses on selecting the right AWS tools for different workloads and understanding responsible AI principles such as fairness, transparency, and governance.

By the end of the course, learners will have the knowledge required to prepare for the AWS Certified AI Practitioner exam, along with a clear understanding of how AI services are used in modern cloud environments.

Syllabus

• Introduction to Artificial Intelligence
• The ML Development Lifecycle
• Machine Learning
• ML Models Evaluation and Deployment
• Introduction to Generative AI (GenAI)
• Foundation Models and Applications
• Prompt Engineering
• AWS GenAI Services and Infrastructure
• AWS Managed AI Services
• Amazon SageMaker Services
• Responsible AI
• Governance for AI Solutions

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Taught by

Neal Davis and Karim ElKobrossy

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Subjects

Programming