Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] — 92% OFF Discount Coupon

Build 9+ GenAI Use Cases on AWS with Amazon Bedrock, RAG, Langchain, AI Agents, MCP, Amazon Q, LLM. No AI/Coding exp req

★4.5 out of 5
26,200 students
Created by Rahul Trisal
English
Updated January 2026

Quick Facts — Course Summary

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

•Course Name: Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026]
•Platform: Udemy
•Instructor: Rahul Trisal
•Coupon Last Verified: January 20, 2026
•Level: All Levels
•Topic: IT & Software
•Subtopic: Amazon Bedrock
•Total Time: 13h 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: $9.99 (was $119.99). You save $110.00 with 92% 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 You'll Master

By the end of Generative AI on AWS - Amazon Bedrock, RAG & Langchain[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: Media and Entertainment Industry: Generate Movie Poster Design using API Gateway, S3 and Stable Diffusion Foundation Model .
✓Use Case 2: Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model .
✓Use Case 3 - Build a Chatbot using Bedrock Converse API - DeepSeek and Nova Pro Foundation Model, Langchain and Streamlit .
✓Use Case 4- Employee HR Q & A App with Retrieval Augmented Generation (RAG) - Bedrock - Claude Foundation Model + Langchain + FAISS + Streamlit .
✓Use Case 5 : Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway .
✓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. .
✓Use Case 8 : Amazon Q Business - Build a Marketing Manager App with Amazon Q .
✓Use Case 9 - Capabilities of Amazon Q Developer over SDLC - HandsON .
✓Bedrock Logging with AWS CloudWatch .
✓GenAI Project Lifecycle: Phase 1 - Use Case Selection - Discuss about various phases of GenAI and How to identify right use case .
✓GenAI Project Lifecycle: Phase 2 - Foundation Model Selection - Theory and Handson using AWS Bedrock Model Evaluation Service .
✓GenAI Project Lifecycle: Phase 3 - Prompt Engineering - Factors Impacting Prompt design - Claude, Amazon Titan, Stability Diffusion, Prompt design Techniques .
✓GenAI Project Lifecycle: Phase 4 - Fine Tuning of Foundation Models - Theory and Hands-On .
✓Python Basics Refresher .
✓AWS Lambda and API Gateway Refresher.

What You Need Before Starting

Before enrolling in Generative AI on AWS - Amazon Bedrock, RAG & Langchain[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.

About This Udemy Course

The following is the full official course description for Generative AI on AWS - Amazon Bedrock, RAG & Langchain[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 - Generate Poster Design for Media Industry using  API Gateway, S3 and Stable Diffusion Foundation Model

Use Case 2 - Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model

Use Case 3 - Build a Chatbot using Amazon Bedrock - DeepSeek, Langchain and Streamlit.

Use Case 4- Build an Employee HR Q & A Application with Retrieval Augmented Generation (RAG) -

                      Claude FM + Langchain (Ochestrator)+ FAISS (Vector DB) + Streamlit

Use Case 5 - Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway

Use Case 6 - 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 7 - Build Infrastructure Coding Agent using Amazon Q CLI and AWS CloudFormation Server.

Use Case 8 - Amazon Q Business - Build a Marketing Manager App with Amazon Q Business

Use Case 9 - Amazon Q Developer - Overview of the Code Generation capabilities of Amazon Q Developer - Over the SDLC



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: Media and Entertainment Industry: Generate Movie Poster Design using API Gateway, S3 and Stable Diffusion Foundation Model

Section 6 - Use Case 2: Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model

Section 7 - Use Case 3 : Build a Chatbot using Bedrock - DeepSeek, Langchain and Streamlit

Section 8 - Use Case 4- Build a Employee HR Q & A Application with Retrieval Augmented Generation (RAG) -

                        Amazon Bedrock (Claude Foundation Model) + Langchain (Ochestrator)+ FAISS (Vector DB) + Streamlit

Section 9 - Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway

Section 10 - Build a Retail Banking Agent using Amazon Bedrock Agents and Knowledge Bases, Dynam0DB, Lambda

Section 11 - GenAI Project Lifecycle: Phase 1 - Use Case Selection - Discuss about various phases of GenAI and How to identify right use case

Section 12 - GenAI Project Lifecycle: Phase 2 - Foundation Model Selection - Theory and Handson using AWS Bedrock Model Evaluation Service

Section 13 - GenAI Project Lifecycle: Phase 3 - Prompt Engineering - Factors Impacting Prompt design, Prompt design Techniques (Zero Shot, One Shot.), Good practices for writing prompts for Claude, Titan and Stability AI Foundation Models

Section 14 - GenAI Project Lifecycle: Phase 4 - Fine Tuning of Foundation Models - Theory and Hands-On

Section 15 - Code Generation using AWS CodeWhisperer and CDK - In Typescript

Section 16 - Python Basics Refresher

Section 17 - AWS Lambda Refresher

Section 18 - 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

This section allows you to compare the current course with similar options to help you make an informed decision by evaluating prices, ratings, and key features side by side.

Compare prices and features to find the best deal for your learning needs

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

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: January 20, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] is a high-value resource for learners seeking to build skills inIT & Software. Taught by Rahul Trisal on Udemy, the 13h 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 92%, from $119.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 92% 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 26,200 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 & Langchain[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
✓

Course Rating Summary

Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] Course holds an aggregate rating of 4.5 out of 5 based on 26,200 student reviews on Udemy.

4.5
★★★★★
26,200 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 Profile

The following section provides background information on Rahul Trisal, the instructor responsible for creating and maintaining Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] on Udemy.

Generative AI on AWS - Amazon Bedrock, RAG & Langchain[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.

Frequently Asked Questions

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

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

Explore More Resources

Discover related content and navigation options for IT & Software:

More IT & Software Courses You Might Like

Similar Udemy courses in IT & Software with verified coupons: