Udemy – Ultimate AWS Certified Generative AI Developer Professional 2026-7

Updated August 10, 2026 9.61 GB

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Description

The Ultimate AWS Certified Generative AI Developer Professional Course. This course is a comprehensive and essential guide to earning AWS certification in Generative AI. This course thoroughly prepares you for the AIP-C01 / AP1-C01 exam and provides the practical skills you need to design, build, and optimize Generative AI systems on the AWS platform. The course content, written with the help of AI and reviewed by human experts, provides in-depth training and practical exercises aligned with the official exam syllabus. All training is delivered in a real instructor voice without the use of avatars or synthetic voices. With a careful blend of theory and practice, thorough coverage of technical concepts, and full alignment with the latest exam changes, this course creates a surefire path to becoming a professional and certified Generative AI developer in the AWS ecosystem.

What you will learn

Mastering the concepts of Generative AI on AWS:
Building GenAI applications using Amazon Bedrock, SageMaker, and Knowledge Bases.
Designing Agentic AI systems using Bedrock Agents, Flows, OpenSearch, Strands, Agent Squad, and AgentCore.
Apply optimization techniques to RAG pipelines, embedding strategies, and fundamental model performance.
Manage prompts and structured workflows using Prompt Management and Bedrock Flows.
Assess model quality and safety using Bedrock Evaluations.
Working with data and scalability:
Data preparation and processing with Bedrock Data Automation, SageMaker, Glue, Comprehend, Textract, and more.
Synchronize production-grade AI systems using Step Functions, Lambda, Pipelines, and CI/CD tools.
Preparation for the exam:
Master the skills needed to pass the AWS Generative AI Developer Professional certification exam.
Build production-ready, productive AI applications on AWS using Bedrock, SageMaker, and Serverless tools.
Design and optimize RAG pipelines with Embeddings, Vector Databases, and Recovery Tuning.
Evaluate and improve model quality with Bedrock Evaluations, baseline reviews, and safety checks.
Automate and scale GenAI systems with Step Functions, Lambda, CI/CD, and AWS best practices.

This course is suitable for people who:

AWS developers, cloud engineers, and architects preparing for the Productive AI Developer Professional exam.
Artificial Intelligence and Machine Learning (AI and ML) professionals who want to build real GenAI applications using Bedrock, SageMaker, and RAG patterns.
Technical professionals who are embracing productive AI and are looking for hands-on experience with AWS tools and best practices.
Students familiar with AWS fundamentals who want to advance to production-level GenAI development.

Course details

Publisher : Udemy
Teacher : Sundog Education by Frank Kane , Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
Language: English
Level : All Levels
Lectures : 315
Duration : 25 hours and 19 minutes

Course syllabus

Ultimate AWS Certified Generative AI Developer Professional Course Prerequisites

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.