Ultimate AWS Certified Generative AI Developer Professional

Last updated on December 2, 2025 11:11 am
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Description

What you’ll learn

  • Master the skills required to pass the AWS Generative AI Developer Professional certification exam.
  • Build production-ready generative AI apps on AWS using Bedrock, SageMaker, and serverless tools.
  • Design and optimize RAG pipelines with embeddings, vector databases, and retrieval tuning.
  • Create agentic AI workflows using Bedrock Agents, Flows, tools, and multi-agent patterns.
  • Evaluate and improve model quality with Bedrock Evaluations, grounding checks, and safety controls.
  • Automate and scale GenAI systems with Step Functions, Lambda, CI/CD, and AWS best practices.

This course contains the use of artificial intelligence for authoring assistance, but all content is human-reviewed. No AI avatars or synthetic voices are used.

Become an AWS-certified generative AI professional with the most comprehensive preparation available for the AWS Certified Generative AI Developer – Professional (AIP-C01 / AP1-C01) exam. This course gives you everything you need—hands-on practice, deep technical coverage, and complete alignment with the official exam guide.

What’s Included

  • 22+ hours of self-paced video training across 280+ lectures

  • A full-length 75-question practice exam to benchmark your readiness

  • 50+ hands-on activities and labs to build real skills

  • Downloadable PDFs for all slide decks and a study guide

  • 125 section-level quiz questions written in the style of the exam

What You’ll Learn

Generative AI on AWS blends the world’s most popular cloud platform with cutting-edge AI techniques. This course helps you master both—through real scenarios, guided examples, and practical architecture patterns. You’ll learn how to:

  • Build GenAI applications using Amazon Bedrock, SageMaker, and Knowledge Bases

  • Design agentic AI systems using Bedrock Agents, Flows, OpenSearch, Strands, Agent Squad, and AgentCore

  • Apply optimization techniques for RAG pipelines, embedding strategies, and foundation model performance

  • Manage prompts and structured workflows using Prompt Management and Bedrock Flows

  • Evaluate model quality and safety using Bedrock Evaluations

  • Prepare and process data with Bedrock Data Automation, SageMaker, Glue, Comprehend, Textract, and more

  • Orchestrate production-grade AI systems using Step Functions, Lambda, Pipelines, and CI/CD tools

Every module is grounded in the AWS exam domains and the skills described in AWS’s official documentation. We’ve mapped the entire exam blueprint to ensure you don’t miss a thing.

Meet Your Instructors

Frank Kane (Sundog Education)
Frank has guided over one million learners on Udemy across AI, machine learning, and data engineering. He spent nine years at Amazon headquarters as a senior engineer and senior manager, building large-scale machine learning systems and earning 26 issued patents. Frank specializes in making complex AI topics practical and approachable.

Stéphane Maarek
Stéphane is one of the most trusted AWS educators in the world, with over three million learners on Udemy and deep expertise across AWS’s certification tracks.

If you’re ready to master generative AI on AWS and earn one of the most forward-looking certifications available, we’re excited to guide you every step of the way. Let’s get started!

Who this course is for:

  • AWS developers, cloud engineers, and architects preparing for the Generative AI Developer Professional exam.
  • AI and ML practitioners who want to build real GenAI applications using Bedrock, SageMaker, and RAG patterns.
  • Technical professionals adopting generative AI and seeking hands-on experience with AWS tools and best practices.
  • Learners familiar with AWS fundamentals who want to advance into production-grade GenAI development.

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