Ultimate AWS Certified Generative AI Developer Professional

Ultimate AWS Certified Generative AI Developer – Professional

Overview

The Ultimate AWS Certified Generative AI Developer – Professional course is a hands-on, exam-aligned training program designed for developers and cloud professionals who want to build, deploy, and scale production-ready generative AI systems on Amazon Web Services.

Rather than focusing only on theory, the course emphasizes real-world GenAI development, covering Bedrock, SageMaker, agentic workflows, RAG architectures, and serverless automation—while also fully preparing learners for the AWS Generative AI Developer – Professional certification exam.

Course Snapshot

• Instructors: Frank Kane, Stéphane Maarek
• Students enrolled: 10,500+
• Content length: ~24 hours
• Difficulty level: Advanced (Professional level)
• Language: English (auto-captions available)
• Certification: Certificate of completion included
• Access: Lifetime (mobile & TV supported)

What This Course Actually Covers

This course goes beyond basic prompt usage and focuses on end-to-end GenAI systems built on AWS, aligned with professional certification objectives and real production constraints.

You’ll work with:

• AWS Bedrock for foundation models and agents
• SageMaker for GenAI workflows and model integration
• RAG pipelines using embeddings and vector databases
• Agentic AI workflows with tools, flows, and multi-agent patterns
• Automation, evaluation, safety, and scalability using AWS services

Skills & Concepts You’ll Develop

Generative AI on AWS

• Building GenAI applications using AWS Bedrock
• Working with foundation models and managed GenAI services
• Designing secure, scalable GenAI architectures

RAG (Retrieval-Augmented Generation)

• Creating embeddings and vector search pipelines
• Designing and tuning retrieval workflows
• Improving accuracy with grounding and context optimization

Agentic AI & Workflows

• Building AI agents with Bedrock Agents and Flows
• Tool-calling and multi-agent coordination
• Designing task-oriented GenAI systems

Evaluation, Safety & Quality

• Model evaluation with Bedrock Evaluations
• Safety controls and grounding checks
• Improving output reliability and trustworthiness

Automation & Scaling

• Serverless orchestration using Lambda and Step Functions
• CI/CD pipelines for GenAI systems
• Applying AWS best practices for performance and cost control

Exam & Certification Preparation

This course is fully aligned with the AWS Certified Generative AI Developer – Professional exam, and includes:

• Deep coverage of all exam domains
• Hands-on labs mapped to exam objectives
• A full 75-question practice exam to assess readiness

The goal is not only to help you pass the exam, but to think and work like a professional GenAI engineer on AWS.

Who This Course Is Best Suited For

• AWS developers preparing for the Generative AI Developer – Professional exam
• Cloud engineers building GenAI systems in production
• Developers familiar with serverless and APIs who want to move into GenAI
• Professionals with associate-level AWS experience aiming for a professional credential

Common Learner Questions

Do I need deep machine learning knowledge?
No. Prior exposure to AI is helpful, but all generative AI concepts are explained from the ground up.

Is this course more practical or exam-focused?
Both. It balances hands-on GenAI development with exam-aligned theory and practice questions.

Do I need an AWS account?
Yes. Most labs can be completed using free-tier or low-cost usage.

Does this course cover production best practices?
Yes. It emphasizes scalability, safety, automation, and evaluation—key concerns in real systems.

Practical Value

What makes this course stand out is its production-first mindset. Instead of isolated demos, learners see how modern GenAI systems are actually designed, evaluated, automated, and scaled on AWS.

You finish the course with:

• Practical GenAI architecture experience
• Confidence in AWS GenAI services
• Strong readiness for the professional-level certification

Final Thoughts

If you want to move beyond basic GenAI experimentation and become a professional AWS Generative AI Developer, this course provides a complete and structured path—from hands-on development to certification success.

It’s an excellent choice for anyone serious about GenAI on AWS in 2025 and beyond.