AWS Certified AI Practitioner

Domain 1: Fundamentals of AI and Machine Learning

• Introduction to Artificial Intelligence and Machine Learning.
• AI, ML, and Deep Learning concepts.
• Common AI use cases and business applications.
• Types of Machine Learning models.

Domain 2: Fundamentals of Generative AI

• Generative AI concepts and applications.
• Large Language Models (LLMs).
• Foundation models and prompt engineering.
• Generative AI use cases and limitations.

Domain 3: Applications of Foundation Models

• Selecting appropriate foundation models.
• Prompt design and optimization techniques.
• Building AI-powered applications.
• Generative AI implementation strategies.

Domain 4: Guidelines for Responsible AI

• Responsible AI principles and ethics.
• Bias, fairness, and transparency.
• Security, privacy, and compliance considerations.
• Risk mitigation strategies.

Domain 5: Security, Compliance, and Governance for AI Solutions

• AI security best practices.
• Data privacy and protection.
• Governance frameworks for AI solutions.
• Monitoring and managing AI workloads.

Training Eligibility

• There are no mandatory prerequisites to attend the AWS Certified AI Practitioner training program.
• Anyone interested in Artificial Intelligence, Machine Learning, and AWS Cloud can enroll.

Recommended Knowledge

• Basic understanding of cloud computing concepts.
• General IT concepts.
• Artificial Intelligence fundamentals.
• Business use cases for AI are helpful but not mandatory.
• No prior hands-on AWS experience is required.