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Get Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] with 92% OFF Udemy 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 enrolled)
Instructor: Rahul Trisal
Last Update:
Language: English

Key Takeaways — Course Overview

The following summarizes all verified data points for Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026], including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .

Course Title: Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026]

Platform: Udemy (listed via CoursesWyn)

Instructor: Rahul Trisal

Coupon Verified:

Difficulty Level: All Levels

Category: IT & Software

Subcategory: Amazon Bedrock

Duration: 13h of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Students who complete Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] will be able to: 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.

Prerequisites: 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.

Price: $9.99 with coupon / Regular Udemy price: $119.99. Applying this coupon saves you $110.00 (92% OFF).

Important:

This coupon may not function properly in private/incognito browsing mode. Use a standard browser window and temporarily disable ad blockers or VPN services before clicking the redemption link to ensure the discount is applied correctly.

What You'll Learn

Completing Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] gives you the following verified skills and competencies in IT & Software:

  • 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

Requirements

The following background knowledge and tools are recommended before starting Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026]. Students without these prerequisites may still enroll but should expect a steeper learning curve.

  • 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. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course.

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)

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Is This Course Worth It?

Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .

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 in IT & Software. Taught by Rahul Trisal on Udemy, the 13h course provides a structured progression from foundational concepts to advanced Amazon Bedrock 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)

The following advantages were identified:

  • Verified 92% price reduction makes this course accessible on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high satisfaction.
  • Includes an official Udemy completion certificate and lifetime access.

Keep in Mind (Cons)

The following limitations should be considered:

  • The depth of Amazon Bedrock coverage may be challenging for newcomers.
  • Lifetime access is contingent on the Udemy platform's operation.
  • Hands-on projects require additional time beyond video watch time.

Andrew Derek

Lead Reviewer

View credentials →

"Given the 92% price reduction and verified 4.5-star rating, Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] represents one of the strongest value propositions currently available in IT & Software. Enrollment is recommended while this coupon remains active."

Final Verdict: Worth It

Course Rating Summary

Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] holds an aggregate rating of 4.5 out of 5 based on 26,200 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.5

26,200 Verified Ratings

5 stars
90%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
1%

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

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 Amazon Bedrock skills.

View Official Instructor Profile ↗

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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. All answers are based on verified data from Udemy as of .

Is there a verified discount coupon for Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026]?
Yes. A verified Udemy coupon for Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] is available on this page, reducing the price from $119.99 to $9.99 — a saving of $110.00 (92% OFF). The coupon was last verified on March 26, 2026.

How do I apply the Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] coupon code?
Click the "Redeem Coupon" button on this page. The 92% discount is automatically applied to the Udemy checkout link. No manual coupon entry is needed.

How long is the Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] course on Udemy?
Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] consists of 13h of on-demand video. Udemy provides lifetime access to enrolled students, allowing you to revisit all content at any time after purchase.

What skills will I gain from Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026]?
Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026], taught by Rahul Trisal on Udemy, covers the following competencies: 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. . These skills are delivered through 13h of structured Amazon Bedrock content, enabling learners to apply knowledge immediately after each module.

What is the Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] Udemy course?
Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] is a 13h online course on Udemy, created and taught by Rahul Trisal. It covers IT & Software topics and holds a 4.5-star rating from 26,200 enrolled students. Use the verified coupon on this page to access it at $9.99 (92% OFF the regular $119.99 price).
Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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