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Grokking the AWS Certified Generative AI Developer - Professional
Lead the GenAI revolution with an AWS Certified Generative AI Developer – Professional exam. Build skills in advanced AI techniques, cloud integration, and innovative AI-driven solutions.
4.8
75 Lessons
15 Cloud Labs
20h
Updated 1 week ago
Join 3 million developers at
Join 3 million developers at
LEARNING OBJECTIVES
- Design scalable generative AI architectures using AWS services and make informed architectural decisions under constraints.
- Implement retrieval-augmented generation (RAG) workflows and manage agents to build cohesive generative AI applications.
- Deploy and optimize generative AI systems using AWS-native tools, focusing on security, cost, and performance considerations.
- Evaluate and fine-tune foundation models in AWS to ensure high-quality outputs and compliance with governance standards.
- Analyze business requirements and apply architectural patterns to create effective generative AI solutions on AWS.
KEY OUTCOMES
Ace the AWS Generative AI Exam
Demonstrate your expertise in AWS generative AI applications and confidently pass the AWS Certified Generative AI Developer exam.
Design Production-Ready AI Systems
Architect and deploy reliable, scalable generative AI systems on AWS that meet real-world business needs and compliance requirements.
Optimize AI Workflows for Performance
Implement cost-effective strategies and performance optimizations in generative AI applications to enhance operational efficiency.
Lead AI Governance Initiatives
Establish and enforce governance frameworks for generative AI systems, ensuring compliance, security, and ethical AI practices.
Why choose this course?
Stay Relevant in a Rapidly Evolving Field
As generative AI shifts from theory to real-world applications, developers face the pressure to keep up. Without the right skills, you risk falling behind in a competitive job market.
The Challenge of Production-Ready Systems
Even experienced engineers struggle to translate generative AI concepts into scalable, secure applications. Failing to master AWS tools can lead to unreliable systems and missed opportunities.
Master AWS for Generative AI Success
This course offers hands-on experience with AWS services like Bedrock and SageMaker, focusing on real-world integration. You'll learn to design, deploy, and secure generative AI systems effectively.
Elevate Your Career Today
Join a community of forward-thinking developers and gain the skills needed to excel in generative AI. Enroll now to position yourself as a leader in this transformative technology.
Learning Roadmap
1.
Introduction
Introduction
Master AWS generative AI application architecture and exam preparation strategies.
2.
AWS Core Services for AIP Exam
AWS Core Services for AIP Exam
Explore AWS services for building scalable and efficient generative AI applications.
3.
Generative AI Fundamentals
Generative AI Fundamentals
4 Lessons
4 Lessons
Explore generative AI's capabilities, prompt engineering, and effective management techniques.
4.
Introducing Amazon Bedrock
Introducing Amazon Bedrock
6 Lessons
6 Lessons
Master foundation models, deployment strategies, and architecture design for generative AI on AWS.
5.
Data Engineering and Retrieval-Augmented Generation (RAG)
Data Engineering and Retrieval-Augmented Generation (RAG)
8 Lessons
8 Lessons
Learn how data engineering and retrieval design power accurate GenAI systems, from clean data and embeddings to advanced RAG patterns.
6.
Agentic AI Systems
Agentic AI Systems
7 Lessons
7 Lessons
Explore agentic AI systems, focusing on autonomy, multi-agent coordination, and effective safeguards.
7.
Model Deployment with SageMaker AI
Model Deployment with SageMaker AI
8 Lessons
8 Lessons
Master deployment strategies for generative AI using SageMaker’s comprehensive tools and services.
8.
AI Safety and Content Moderation
AI Safety and Content Moderation
5 Lessons
5 Lessons
Learn how AWS secures generative AI using guardrails, grounding, threat detection, and data protection to enforce safety, hallucinations, and detect misuse.
9.
AI Governance and Compliance
AI Governance and Compliance
5 Lessons
5 Lessons
Learn to design GenAI systems on AWS using responsible AI principles, model and data governance, auditability, continuous monitoring, and automated enforcement.
10.
Operational Efficiency for AI Systems
Operational Efficiency for AI Systems
4 Lessons
4 Lessons
Optimize costs, enhance performance, and monitor generative AI systems effectively.
11.
Model Evaluation and Troubleshooting
Model Evaluation and Troubleshooting
5 Lessons
5 Lessons
Master evaluation, feedback, and troubleshooting to build reliable production GenAI systems on AWS.
13.
Practice Exam Solution: AWS Certified GenAI Developer
Practice Exam Solution: AWS Certified GenAI Developer
15 Lessons
15 Lessons
Explore advanced strategies for integrating and optimizing Generative AI applications across various industries.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
Generative AI is moving from experimentation to production. Companies are building real applications powered by foundation models, RAG pipelines, and intelligent agents. The AWS Certified Generative AI Developer - Professional certification reflects this shift, focusing on engineers who can design and deploy reliable, secure generative AI systems at scale.
I built this course based on a pattern I’ve seen across developers transitioning into this space. Many understand the concepts behind LLMs, but struggle to translate them into production-ready systems on AWS. Preparing for the AWS Certified Generative AI Developer exam requires more than theory. It requires knowing how to combine services like Bedrock, SageMaker, and retrieval pipelines into cohesive applications.
This course focuses on that integration. You’ll learn how to design generative AI workflows using RAG, build and manage agents, and deploy scalable applications using AWS-native tools. Security, optimization, and cost considerations are treated as first-class concerns throughout the course.
If you’re aiming to become a generative AI developer and pass the AWS Certified Generative AI Developer - Professional exam, this course provides a clear, practical path to building and shipping real-world AI systems on AWS.
ABOUT THE AUTHOR
Naeem ul Haq
Educative co-founder and CTO. Ex-Microsoft (Azure). Full-Stack, Cloud, Product & Engineering Leadership.
Trusted by 3 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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