Udemy

Ultimate AWS Certified Generative AI Developer Professional

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  • 9,843 Students
  • Updated 12/2025
4.7
(624 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
23 Hour(s) 48 Minute(s)
Language
English
Taught by
Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
Rating
4.7
(624 Ratings)

Course Overview

Ultimate AWS Certified Generative AI Developer Professional

Hands-on GenAI development on AWS with Bedrock, SageMaker, and Flows - includes a complete 75-question practice exam.

This course contains the use of artificial intelligence for drafting assessment questions, 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

  • 23+ 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, 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!

Course Content

  • 10 section(s)
  • 300 lecture(s)
  • Section 1 Introduction
  • Section 2 Generative AI Fundamentals and Bedrock
  • Section 3 Managing Data for Generative AI
  • Section 4 Agentic AI
  • Section 5 Operational Efficiency and Optimization
  • Section 6 Managing Models with SageMaker AI
  • Section 7 More Tools for Building AI Applications
  • Section 8 Governance and QA
  • Section 9 Security, Identity, and Compliance
  • Section 10 Analytics Services You Should Know

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.


Reviews

  • V
    Vuriltek S.A. DBA MuttData
    2.0

    Franke Kane's voice is lethargic and difficult to follow, with a droning delivery broken only by occasional misplaced inflections at the ends of sentences. He often attempts to emphasise points by going on brief rambles that seem intended to sound casual but end up distracting from the learning instead.

  • K
    Kaleb Hingsberger
    5.0

    I just passed the exam yesterday, and this course and the practice exam were very helpful in preparing. You still need to do more research yourself, going in-depth, and I think practicing actually using these systems helps a ton, but this can definitely get you there!

  • S
    Shahid
    1.0

    The course quiz and exam do not resemble what is actually being asked in the exam! If you use this as your only preparation for the exam, you will be disappointed.

  • S
    Stefan Deusch
    5.0

    This course is fantastic. Frank is a very efficient communicator which makes learning this difficult, multi-disciplinary subject appear easy.

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