Ultimate AWS Certified Generative AI Developer Professional

Ultimate AWS Certified Generative AI Developer Professional - Hands-on GenAI development on AWS with Bedrock, SageMaker, and Flows - includes 2 complete 75-question practice exams

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Description

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

    TWO full-length 75-question practice exams to benchmark your readiness

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

    Downloadable PDFs for all slide decks and a study guide

    120 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, 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!

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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