AWS Certified Generative AI Developer Professional Exam Prep

About this course

Generative AI is not just a buzzword—it is the biggest shift in software development in decades.

As organizations rush to adopt AI, the demand for developers who can build, secure, and deploy Generative AI applications on AWS has skyrocketed. The AWS Certified Generative AI - Developer certification is the industry's gold standard for validating these cutting-edge skills.

But passing the exam—and actually building these applications—requires more than just reading documentation. You need practical, hands-on experience.

This course is your complete guide to mastering the AWS Generative AI stack.

Designed specifically for developers, this course bridges the gap between theory and real-world implementation. We strip away the complexity and focus on the practical "how-to" of building GenAI solutions.

You will master the following key domains through hands-on labs:

Amazon Bedrock Deep Dive: Go far beyond simple text generation. You will learn to build complex, agentic workflows using Bedrock Agents, implement Retrieval-Augmented Generation (RAG) using Knowledge Bases, and engineer widely effective prompts using Prompt Management and Prompt Flows.

Amazon SageMaker for Developers: You don't need to be a data scientist to use SageMaker. We focus on the developer-centric features, showing you how to use SageMaker Jump

Start to deploy and fine-tune foundation models, SageMaker Clarify to detect bias, and SageMaker Data Wrangler to prepare your data efficiently.

MLOps and Governance: Learn how to operationalize your models using SageMaker Model Monitor and Model Registry to ensure your applications remain reliable in production.

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