Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] — 91% OFF Coupon

Build 7+ GenAI Use Cases on AWS with Amazon Bedrock, RAG, Langchain, AI Agents, MCP, AWS KIRO. No AI/Coding exp req

★4.5 out of 5
35,266 students
Created by Rahul Trisal
English
Updated June 2026
Overview

Quick Facts — Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] Overview

Here's a quick overview of everything you need to know about Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] before you enroll:

•Course Name: Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026]
•Platform: Udemy
•Instructor: Rahul Trisal
•Coupon Last Verified: June 16, 2026
•Level: All Levels
•Topic: IT & Software
•Subtopic: Amazon Bedrock
•Total Time: 14h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Learn fundamentals about AI, Machine Learning and Artificial Neural Networks. · Learn how Generative AI works and deep dive into Foundation Models. · Amazon Bedrock – Detailed Console Walkthough, Bedrock Architecture, Pricing and Inference Parameters.
•Requirements: There are no course pre-requisites for this course except basic AWS Knowledge. I will provide basic overview of AI/ML concepts and have included Python, AWS Lambda and API Gateway refresher at end of course in case you are not familiar with python coding or these AWS services. · Only very very basic AWS knowledge such as what is S3, AWS Lambda etc.
•Current Price: $12.99 (was $149.99). You save $137.00 with 91% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.
Skills

Skills You'll Master in This Course

By the end of Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026], you'll have these practical skills:

✓Learn fundamentals about AI, Machine Learning and Artificial Neural Networks. .
✓Learn how Generative AI works and deep dive into Foundation Models. .
✓Amazon Bedrock – Detailed Console Walkthough, Bedrock Architecture, Pricing and Inference Parameters. .
✓Use Case 1 : Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model .
✓Use Case 2 : Build a Chatbot using Bedrock Converse API - DeepSeek and Nova Pro Foundation Model, Langchain and Streamlit .
✓Use Case 3: Employee HR Q & A App with Retrieval Augmented Generation (RAG) - Bedrock - Claude Foundation Model + Langchain + FAISS + Streamlit .
✓Use Case 4 : Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway .
✓Use Case 5 : Build FleetMate Application using AWS KIRO - Agentic AI powered Integrated Development Environment (IDE) .
✓Use Case 6 : Build a Retail Banking Agent using Amazon Bedrock Agents & Knowledge Bases .
✓Use Case 7 : Build Infrastructure Coding Agent using Amazon Q CLI and AWS CloudFormation Server. .
✓Python Basics Refresher .
✓AWS Lambda and API Gateway Refresher.
Prerequisites

Prerequisites for This Course

Before enrolling in Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026], make sure you have:

•There are no course pre-requisites for this course except basic AWS Knowledge. I will provide basic overview of AI/ML concepts and have included Python, AWS Lambda and API Gateway refresher at end of course in case you are not familiar with python coding or these AWS services.
•Only very very basic AWS knowledge such as what is S3, AWS Lambda etc.
Course Content

About This Udemy Course

The following is the full official course description for Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] as published on Udemy by instructor Rahul Trisal:

Amazon Bedrock, Amazon Q and AWS GenAI Course :

Hands - On Use Cases implemented as part of this course
  • Use Case 1 - Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model
  • Use Case 2 - Build a Chatbot using Amazon Bedrock - DeepSeek, Langchain and Streamlit.
  • Use Case 3- Build an Employee HR Q & A Application with Retrieval Augmented Generation (RAG) -
Claude FM + Langchain (Ochestrator)+ FAISS (Vector DB) + Streamlit
  • Use Case 4 - Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway
  • Use Case 5 - Build FleetMate Application using AWS KIRO - Agentic AI powered Integrated Development Environment (IDE)
  • Use Case 5 - Build a Retail Banking Agent using Amazon Bedrock Agents and Knowledge Bases -
Claude Sonnet + AWS Lambda + DynamoDB + Bedrock Agents + Knowledge Bases + OpenAPI Schema
  • Use Case 6 - Build Infrastructure Coding Agent using Amazon Q CLI and AWS CloudFormation Server.
Welcome to the most comprehensive guide on Amazon Bedrock and Generative AI on AWS from a practising AWS Solution Architect and best-selling Udemy Instructor.

This course will start from absolute basics on AI/ML, Generative AI and Amazon Bedrock and teach you how to build end to end enterprise apps on Image Generation using Stability Diffusion Foundation, Text Summarization using Cohere, Chatbot using Llama 2,Langchain, Streamlit and Code Generation using Amazon CodeWhisperer.

The focus of this course is to help you switch careers and move into lucrative Generative AI roles.

There are no course pre-requisites for this course except basic AWS Knowledge. I will provide basic overview of AI/ML concepts and have included Python, AWS Lambda and API Gateway refresher at end of course in case you are not familiar with python coding or these AWS services.

I will continue to update this course as the GenAI and Bedrock evolves to give you a detailed understanding and learning required in enterprise context, so that you are ready to switch careers.

Detailed Course Overview
  • Section 2 - Evolution of Generative AI: Learn fundamentals about AI, Machine Learning and Artificial Neural Networks (Layers, Weights & Bias).
  • Section 3 - Generative AI & Foundation Models Concepts: Learn about How Generative AI works (Prompt, Inference, Completion, Context Window etc.) & Detailed Walkthrough of Foundation Model working.
  • Section 4 - Amazon Bedrock – Deep Dive: Do detailed Console Walkthough, Bedrock Architecture, Pricing and Inference Parameters.
  • Section 5 - Use Case 1: Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model
  • Section 6 - Use Case 2 : Build a Chatbot using Bedrock - DeepSeek, Langchain and Streamlit
  • Section 7 - Use Case 3- Build a Employee HR Q & A Application with Retrieval Augmented Generation (RAG) - Amazon Bedrock (Claude Foundation Model) + Langchain (Ochestrator)+ FAISS (Vector DB) + Streamlit
  • Section 8 - Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway
  • Section 9 - Build a Retail Banking Agent using Amazon Bedrock Agents and Knowledge Bases, Dynam0DB, Lambda
  • Section 10 - Python Basics Refresher
  • Section 11 - AWS Lambda Refresher
  • Section 12 - AWS API Gateway Refresher

IMPORTANT  << Learning Path:  GenAI Developer / Architect on AWS  >>

Many learners ask how to switch their career to an AWS Generative AI Developer or Architect and which sequence of my Udemy courses they should follow. Here is some guidance based on my experience working in the IT industry.

My GenAI/Agentic AI courses are divided into two tracks

Hands-On learning to build real world skills required in the IT industry (Most important)

Certification preparation to help you pass the certification exam (Good to have)

<< Hands-On Courses >>

1. Hands-On Course 1  (Beginner) - Amazon Bedrock, Amazon Q & AWS Generative AI [Hands-On]

Start here if you’re new to GenAI & Amazon Bedrock.

2. Hands-On Course 2 (Intermediate) - Build Production Ready AI Agents on AWS – Bedrock, CrewAI & MCP

Take this after Course 1 - Focused on Agentic AI but will be easier to understand if you have taken Course 1

3. Hands-On Course 3 (Advanced) - Amazon Bedrock AgentCore : Deploy AI Agents on AWS

This is the advanced course and focused on how to deploy, scale, and operate AI agents in Production.

Recommend to take after Course 1 & Course 2.

<< AWS GenAI Certification Path >>

1. Certification Course 1 : AWS Certified AI Practitioner (AIF-C01) – Beginner to Advanced
  • Take after Step 1, or
  • In parallel with Step 2
Outcome
You pass AWS Certified AI Practitioner (AIF-C01) and understand GenAI concepts AWS expects.

2. Certification Course 2 : AWS Certified Generative AI Developer Professional (Coming Soon)

Compare Similar Courses

Compare the current course with similar options side-by-side to make the best choice based on pricing, ratings, and course duration.

* All prices and ratings are updated daily to ensure accuracy.

Expert Review

Is the Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: June 16, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] is a high-value resource for learners seeking to build skills inIT & Software. Taught by Rahul Trisal on Udemy, the 14h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 91%, from $149.99 to $12.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 91% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 35,266 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026]:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓
Rating

Course Rating Summary

Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] has earned an aggregate rating of 4.5 out of 5 from 35,266 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.5
★★★★★
35,266 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor

About the Instructor — Rahul Trisal

Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026] is taught by Rahul Trisal, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Rahul Trisal
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.
FAQ

Frequently Asked Questions

The following questions and answers cover the most common queries about Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026], its coupon code, pricing, and enrollment process.

Author

About the Author

AD

Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students
Resources

Explore More Resources

Discover more IT & Software resources, related courses, and helpful guides. Browse similar topics, explore instructor profiles, or check out our complete library of verified Udemy coupon codes to continue your learning journey.

More IT & Software Courses You Might Like

Similar Udemy courses in IT & Software with verified coupons: