Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] — 92% Off 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 Rating (26,200 students) Created by Rahul Trisal Updated: January 20, 2026 🌐 English

Key Takeaways

A summarized snapshot of the essential course data, author credentials, and live coupon verification statistics from our manual technical audit.

•

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

•

Provider: Udemy (Listed via CoursesWyn)

•

Instructor: Rahul Trisal

•

Coupon Verified On: January 20, 2026

•

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: 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. · Only very very basic AWS knowledge such as what is S3, AWS Lambda etc.

•

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

•

Coupon: Click REDEEM COUPON below to apply discount

⚠️

To ensure the discount appears as $0, please use a standard browser window. Private or incognito modes may interfere with instructor verification cookies and prevent successful code activation.

What You'll Learn

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

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

How to Redeem

Official authorized step-by-step procedure to ensure your 100% OFF discount protocol is successfully activated at the Udemy checkout.

Click Redeem

Use our authorized link to visit the official course dashboard via our secure gateway.

Validate Price

Verify the $0 price status appears in your enrollment cart before proceeding.

Gain Access

Finalize enrollment to gain permanent lifetime ownership and certificate rights.

Full Redemption Guide

Step-by-Step Instructions

→

Mechanism FAQ

Rules & Validity Logic

→

Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

•

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 Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

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.

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)

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

Rahul Trisal

Verified Architect

A global leader with specialized excellence in IT & Software. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0

Instructor Rating

94% +

Success Rate

Course Comparison

Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.

Feature Benchmarks	This Verified Offer	Global Standard
Cost Verification	FREE (100% Validated)	Fixed Subscription Fee
Enrollment Type	Professional Lifetime Access	Limited Time Ownership
Certification Award	Included with Access Code	Required Add-on Fee

Expert Review

Andrew Derek

Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026] stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

✅ Strategic Advantages

•
Official Certificate: Credential generated at no cost.
•
Mobile Friendly: Full access via smart TV & mobile.
•
Expert Pacing: Modular design for professional schedules.

❌ Considerations

•
Technical Depth: Requires focused 10+ hours study.
•
Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.5

★★★★★

Verified Excellence

5 Stars

88%

4 Stars

3 Stars

2 Stars

1 Stars

Frequently Asked Questions

Curated answers to the most frequent learner inquiries regarding availability, certification, and enrollment logic protocols.

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.

Contact Andrew • Verified by CoursesWyn Editorial Team

Discovery Engine

Browse Supportive Categories

Explore related professional domains and specialized curriculum hubs from our verified academic library.

Development IT & Software Programming Languages Teaching & Academics Design Business Finance & Accounting Office Productivity

Stay Ahead with Our Knowledge Intel

Every 24 hours, we filter 5,000+ courses to deliver only the top 10 verified premium coupons directly to your inbox.

Discovery Module

Highly Recommended Active Offerings

Discover additional professional verified deals within the same academic category from Rahul Trisal.

AI-102: Microsoft Certified Azure AI Engineer Associate

Verified Offer Active

Prepara la Certificación EJPT v2, con práctica del Examen

Verified Offer Active

CIPM Certification Masterclass

Verified Offer Active

Python Programming for AWS - Learn Python with AWS and Boto3

Verified Offer Active