Ultimate AWS Certified Generative AI Developer Professional

Ultimate AWS Certified Generative AI Developer Professional
Last updated 12/2025
Duration: 23h 49m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 8.82 GB

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

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.

Requirements
– 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.

Description
Become an AWS-certified generative AI professional with the most comprehensive preparation available for theAWS 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 trainingacross 280+ lectures

A full-length 75-question practice examto benchmark your readiness

50+ hands-on activities and labsto build real skills

Downloadable PDFsfor all slide decks and a study guide

125 section-level quiz questionswritten 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 usingAmazon Bedrock, SageMaker, and Knowledge Bases

Designagentic AI systemsusing Bedrock Agents, Flows, OpenSearch, S3 Vectors, Strands, Agent Squad, and AgentCore

Apply optimization techniques forRAG pipelines, embedding strategies, and foundation model performance

Manage prompts and structured workflows usingPrompt Managementand Bedrock Flows

Evaluate model quality and safety usingBedrock Evaluations

Prepare and process data withBedrock Data Automation, SageMaker, Glue, Comprehend, Textract, and more

Orchestrate production-grade AI systems usingStep 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

Stéphane MaarekStéphane is one of the most trusted AWS educators in the world, with overthree millionlearners on Udemy and deep expertise across AWS’s certification tracks.

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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