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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

  • 0.0 (0 Reviews)
  • 0 Students
  • 331 Lessons
  • Frank Kane

Course Overview

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!

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Course curriculum

Requirment

  • Basic AWS knowledge is recommended. You should be comfortable with core AWS services such as IAM, S3, Lambda, and VPCs.

  • Familiarity with cloud or software development concepts (APIs, JSON, serverless workflows) will help you move faster through hands-on sections.

  • Some exposure to AI or machine learning is useful, but no deep ML, data science, or model-training background is required—we cover all generative AI concepts from the ground up.

  • An AWS account is needed to complete the hands-on labs. Free-tier usage is sufficient for most exercises.

  • A computer and stable internet connection are required to follow along with the video lessons and practical activities.

  • No prior AWS certification is required, but experience with associate-level AWS material will make the Professional exam topics more approachable.

Outcomes

  • 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.

Instructor

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Frank Kane

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