![Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026]](https://img-c.udemycdn.com/course/750x422/5617274_014b_5.jpg)
Build 7+ GenAI Use Cases on AWS with Amazon Bedrock, RAG, Langchain, AI Agents, MCP, AWS KIRO. No AI/Coding exp req
InstructorRahul TrisalEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
Diagram showing a serverless e-Learning app architecture using AWS API Gateway, Lambda, and Bedrock with a Knowledge Base.
A red course slide featuring a green brain-circuit icon and a cinematic image of a man holding a gun in a war zone.
A presentation slide titled Last 3 Sections displays a workflow diagram connecting Python, Boto 3, and AWS logos, alongside Lambda and API Gateway icons.
A presenter speaks into a microphone while two overlaid diagrams display an Amazon Bedrock Agents retail banking workflow and a chat interface.
The curriculum moves from foundational AI/ML theory to practical implementations of RAG and spec-driven development with AWS KIRO.
Instruction includes multiple hands-on scenarios, such as building chatbots and retail banking agents using Bedrock and LangChain.
The course provides necessary technical refreshers in Python, AWS Lambda, and API Gateway to support learners without extensive coding backgrounds.
Updates to libraries like LangChain can cause code examples in the videos to fail if learners follow them exactly without adjusting for newer versions. One signal from a review created before the displayed update suggests these issues persist, though the update label does not prove a correction.
Some demonstrations, such as granting administrator access to Lambda functions, may raise security concerns for production-oriented learners. A signal from a review created before the displayed update notes this, but the update label does not prove a correction.
The curriculum aligns with the goal of transitioning into GenAI roles by providing both theory and practical AWS service integration.
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