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 drafting assessment questions. 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, a full practice exam, and complete alignment with the official exam guide.
What’s Included
24+ hours of self-paced video training across 300+ 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 AWS style
This is a challenging professional-level certification - many say THE most challenging. If you are new to AWS certifications, we strongly recommend starting with a practitioner or associate level one, such as the AI Practitioner exam, to get a feel for how AWS exams work. This should not be your first AWS 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, S3 Vectors, 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's taken and passed the AIP-C01 exam himself, and ensured this course comprehensively covers its contents. Frank 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!
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