The AWS AI Practitioner Essentials course provides in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. The course also prepares students for the AWS Certified AI Practitioner exam.

This course is intended for:

• Business analysts
• IT support
• Marketing professionals
• Product or project managers
• Line-of-business or IT managers
• Sales professionals

It is recommended that attendees have taken the AWS Cloud Practitioner Essentials and AWS Technical Essentials courses, or have comparable knowledge or experience.

In this course, you will learn to:

• Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS
• Understand the appropriate use of AI/ML and generative AI technologies to ask relevant questions within your organisation
• Determine the correct types of AI/ML technologies to apply to specific use cases
• Use AI, ML, and generative AI technologies responsibly

Fundamentals of AI and ML

• Understand basic AI concepts and terminologies
• Identify practical use cases for AI
• Describe the development cycle of machine learning (ML)

Fundamentals of Generative AI

• Understand basic concepts of generative AI
• Understand the capabilities and limitations of generative AI to solve business problems
• Describe AWS infrastructure and technologies for building generative AI applications

Applications of Foundation Models

• Describe design considerations for applications that use Foundation models
• Select Effective Techniques for Prompt Engineering
• Describe the training and fine-tuning process for Foundation models
• Describe methods for evaluating the performance of Foundation models

Guidelines for Responsible AI

• Understand how to develop Responsible AI systems
• Recognize the importance of transparent and explainable models

Security, Compliance, and Governance for AI Solutions

• Explain methods for securing AI systems
• Identify governance and compliance regulations for AI systems