Ultimate AWS Certified Generative AI Developer Professional

<div>This course contains the use of artificial intelligence for drafting assessment questions. No AI avatars or synthetic voices are used.</div><div><br></div><div>Become an AWS-certified generative AI professional with the most comprehensive preparation available for the <u><b>AWS Certified Generative AI Developer – Professional (AIP-C01 / AP1-C01) exam</b></u>. 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.</div><div><br></div><div>What’s Included</div><div><ul><li><span style="font-size: 1rem;">24+ hours of self-paced video training across 300+ lectures</span></li><li><span style="font-size: 1rem;">A full-length 75-question practice exam to benchmark your readiness</span></li><li><span style="font-size: 1rem;">50+ hands-on activities and labs to build real skills</span></li><li><span style="font-size: 1rem;">Downloadable PDFs for all slide decks and a study guide</span></li><li><span style="font-size: 1rem;">125 section-level quiz questions written in AWS style</span></li></ul></div><div><br></div><div>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.</div><div><br></div><div>What You’ll Learn</div><div><ul><li><span style="font-size: 1rem;">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:</span></li><li><span style="font-size: 1rem;">Build GenAI applications using Amazon Bedrock, SageMaker, and Knowledge Bases</span></li><li><span style="font-size: 1rem;">Design agentic AI systems using Bedrock Agents, Flows, OpenSearch, S3 Vectors, Strands, Agent Squad, and AgentCore</span></li><li><span style="font-size: 1rem;">Apply optimization techniques for RAG pipelines, embedding strategies, and foundation model performance</span></li><li><span style="font-size: 1rem;">Manage prompts and structured workflows using Prompt Management and Bedrock Flows</span></li><li><span style="font-size: 1rem;">Evaluate model quality and safety using Bedrock Evaluations</span></li><li><span style="font-size: 1rem;">Prepare and process data with Bedrock Data Automation, SageMaker, Glue, Comprehend, Textract, and more</span></li><li><span style="font-size: 1rem;">Orchestrate production-grade AI systems using Step Functions, Lambda, Pipelines, and CI/CD tools</span></li></ul></div><div><span style="font-size: 1rem;"><br></span></div><div><span style="font-size: 1rem;">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.</span></div><div><br></div><div>Meet Your Instructors</div><div><br></div><div>Frank Kane (Sundog Education)</div><div>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.</div><div><br></div><div>Stéphane Maarek</div><div>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.</div><div><br></div><div>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!</div>

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.