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AWS Certified AI Practitioner

Category:

Yayasan Peneraju, AI & Machine Learning, AWS, Cloud Computing

Last Update:

July 3, 2026

Accredited by:

Course Overview

This course introduces the fundamentals of AI on AWS and equips participants with the skills to use AWS Skill Builder for continuous learning. Participants will explore AI concepts, foundation models, use cases, prompt engineering basics, and responsible AI principles. The course also introduces modern agentic systems and key AWS services such as Amazon Bedrock and Amazon Q, with hands-on learning through AWS labs and learning tools.

Course Objectives

By the end of the course, participants will be able to:

Understand AI concepts, foundation models, and AWS AI services.
Identify agentic AI use cases.
Apply basic prompt engineering practices.
Explain responsible AI, governance, and compliance considerations.
Explore agentic AI concepts and AWS services such as Amazon Bedrock and Amazon Q.
Navigate AWS Skill Builder and utilize learning tools such as Cloud Quest, AWS Jam, and Builder Labs.

Course Objectives

Suitable for beginners and intermediate learners:

Business and IT professionals
Developers exploring AI
Managers or decision makers planning AI adoption
Anyone new to AI

Prerequisites

No formal prerequisites; basic AWS knowledge is helpful but not required.

Examination

Certificate Name : AWS Certified AI Practitioner

Exam Duration : 90 minutes

Exam Format : 65 questions

Passing Score : 700/1000

What’s Included:

- Generative AI Essential on AWS
- Agentic AI Foundation

Training Content

Module 1: From LLMs to Agents

Understanding Large Language Models (LLMs)
Innovations powering agents
Evolution timeline from LLMs to Agents

Module 2: Exploring Agentic AI

Understanding Agentic AI
Types of AI agents
Agentic AI applications

Module 3: Understanding Agentic AI Workflows

Workflow patterns
Amazon Bedrock Flows overview

Module 4: Introducing Autonomous Agents

How Autonomous Agents work
ReAct
ReWoo
Multi-agent collaboration
AWS Agentic AI solutions

Module 5: Amazon Q and Agentic Development Tools

Amazon Q Developer
Amazon Q Business
Amazon Q in AWS Services
Kiro: AI-powered IDE with spec-driven development

Module 6: Agentic AI with Amazon Bedrock

Amazon Bedrock Agents
Amazon Bedrock AgentCore
Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock, Knowledge Bases and Amazon Bedrock Guardrails