Skip to content
UdemyIt & SoftwarePaid courseAll LevelsCertificate

Amazon Bedrock - The Complete Guide to AWS Generative AI (Udemy.com)

Learn to Deploy Scalable, Reliable, and Secure Generative AI Apps Using AWS and Amazon Bedrock (Python and TypeScript)

Created by: Alex Dan

Last updated August 2026

icon
What you will learn

  • Understand the fundamentals of Generative AI, including its applications, algorithms, and potential impact across various industries.
  • Gain familiarity with the AWS ecosystem, including core services such as EC2, S3, Lambda, and more, essential for deploying and managing Generative AI apps
  • Learn about Amazon Bedrock Managed Service, its features and capabilities
  • Step-by-step guidance on creating the necessary infrastructure to support Generative AI workloads.
  • Develop Generative AI apps backed by AWS with your preferred programming language (Python or TypeScript))
  • Easily develop RAG apps with Bedrock Knowledge bases
  • Integrate LangChain with Amazon Bedrock (Python and TypeScript code examples)

icon
Course Description

Unleash the Power of Generative AI on AWS with This Comprehensive Course!

Welcome to Amazon Bedrock - The Ultimate Guide to AWS Generative AI – your gateway to mastering the fusion of cutting-edge AI technology and the unparalleled scalability of Amazon Web Services (AWS).

In this course, you'll dive deep into the world of Generative AI, harnessing its potential to create innovative solutions across diverse domains. Whether you're a seasoned data scientist, a visionary entrepreneur, or a curious developer, this course is your ticket to unlocking limitless possibilities.

Key Highlights:

  • Hands-On Practice: Dive right into real-world scenarios with practical exercises using Python's boto3, JavaScript SDKs, and TypeScript, coupled with VSCode debugging for seamless development.

  • Text and Image Models: Explore the magic of text generation with chatbots, delve into image generation with state-of-the-art models, and master embedding techniques for vector databases.

  • Advanced Applications: From LangChain to RAG apps and document processing, you'll explore a wide array of advanced applications, empowering you to tackle complex challenges with confidence.

  • Amazon Bedrock Mastery: Get up close and personal with Amazon Bedrock – the game-changer for deploying scalable, reliable, and secure Generative AI applications on AWS. Practice sections ensure you're well-versed with Bedrock, ready to tackle any project.

Key topics covered in this course include:

  • Amazon Bedrock introduction and setup for console and CLI access

  • Code examples with Python and TypeScript

  • Integration between Bedrock and LagChain

  • Building an Amazon Bedrock chat bot with history

  • Building Image APIs backed by Amazon Bedrock

  • Learn all about the essence of AI: embeddings with Bedrock

  • Build state of the art RAG app with Bedrock Knowledge bases

  • Fine tune models and create your custom models.

Why Choose This Course?

  • Expert Guidance: Learn from industry experts with years of experience in AI and AWS.

  • Practical Approach: Gain hands-on experience with guided exercises and real-world case studies.

Don't miss out on this opportunity to become a trailblazer in the world of AI innovation! Enroll now and embark on your journey to becoming a Generative AI expert with Amazon Bedrock and AWS.

Go beyond the theory and learn from active instructors, aligned with today's programming demands!

Let's revolutionize the future together!

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

Alex Dan

Alex Dan — Cloud Architect, Developer & Instructor

With over a decade of hands-on software engineering experience, I've built my career at the intersection of cloud infrastructure, web development, and practical education.

My technical journey started in embedded automotive systems — developing Java-based navigation solutions for major car brands. From there, I moved into cloud engineering, building AWS-powered data pipelines for connected vehicles using Node.js, TypeScript, Lambda, DynamoDB, and a full suite of AWS services. I later worked as a Node.js developer at one of Eastern Europe's largest e-commerce platforms, before transitioning into independent cloud architecture consulting.

Today, as a freelance Cloud Architect, I design and implement scalable cloud solutions across industries — from automotive to enterprise — with a focus on infrastructure reliability, CI/CD automation, and modern serverless architectures.

Parallel to my engineering career, I've been teaching on Udemy since 2017, growing a community of over 300,000 students across 19 courses. My current focus is AI-assisted development — helping developers work smarter with tools like GitHub Copilot, VS Code AI extensions, and agentic coding workflows.

icon
More courses by Alex Dan

$19.99

$89.99

$84.99

$19.99

$89.99

$64.99

icon
More IT & Software courses

$34.99

$49.99

$19.99

$59.99

Free

$64.99

icon
Reviews

4.7

1,564 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Xavier Blanchard on 2/11/2026

The introduction to the course is well structured. The teacher Alex provides clear instructions how to follow along with both Python or/and Typescript codes provided as attached resources. I also notice that the Q&A section gives interesting comments and replies from previous students and Alex. I just reached the beginning of Section 2, so that's an early request from Udemy to provide feedback. Will update my comments as I proceed through the course. I'm now very excited to actually start learning! Feb. 2026

By Anonymized User on 1/27/2026

Course navigation is unclear. I will review this rating at the last section of the course. And may be change my opinion.

By Facundo Brusa on 1/4/2026

It's a great and simple course if you want to learn the basics of how to use Amazon Bedrock and the tools that it provides. I would say that's a good option if you don't want to spend a lot of time learning complex things.

By Minh Pham on 7/3/2025

The course is practical and hands-on with projects using Python and Typescript. The course material is explained in an easy to understand and follow. The projects are presented from simple to advanced level of using Amazon Bedrock and going further.

By Neta Shiloh on 1/18/2025

I'm a DevOps Engineer and this course was really good & relevant for me. The course contains hands-on examples. I followed the python lectures and it was really simple to follow along and learn from it. Thank you!

By Paul Ofoche on 10/22/2024

Yes, this is a great course. I appreciate the hands-on approach of the instructor, and he explains everything in easy-to-understand terms. I have been trying to learn these Gen AI concepts on cloud applications for quite some time, and I am so pleased to have found this course. I will recommend it to my peers!

By Borys Helerman on 10/10/2024

This course provides a solid introduction to Amazon Bedrock and its capabilities in the realm of generative AI. The content is well-structured, making it easy to follow along, even for those who are not deeply familiar with AWS services or generative AI concepts. The instructor does a great job of breaking down complex topics into more manageable parts, and the practical examples help reinforce the theoretical knowledge. One of the highlights of the course is the hands-on demonstrations, which allow students to see how Amazon Bedrock can be applied to real-world scenarios. These examples are particularly valuable for understanding how to integrate Bedrock with other AWS services, which is crucial for deploying scalable AI solutions. However, there are a few areas where the course could be improved: - The coverage of some advanced topics felt a bit rushed. A more in-depth explanation of certain concepts, such as fine-tuning models or best practices for optimizing Bedrock's performance, would be beneficial for those looking to dive deeper. - It would also be great to see more detailed use cases or case studies demonstrating how businesses are leveraging Amazon Bedrock for generative AI projects. This could provide a better sense of its practical applications and inspire new ideas for implementation. - A section dedicated to troubleshooting common issues when using Amazon Bedrock would add additional value, especially for those new to the platform. Overall, this course is an excellent starting point for anyone looking to explore the potential of Amazon Bedrock in the field of generative AI. It effectively balances theory and practice, making it a valuable resource for professionals looking to enhance their skills in AI and AWS.

By Pedro L. Valladares on 9/13/2024

This course has been fantastic! All the code is relatively simple, but illustrates all the important points very well. I would have liked for some of the API's to have been integrated into a simple ReactJS or NextJS app, but I understand this might not be the primary focus of this course.

By David M. on 6/9/2024

I recently completed 'Amazon Bedrock - The Complete Guide to AWS Generative AI' and found it to be incredibly informative and well-structured. The course content is thorough, covering all the essential aspects of AWS Generative AI, and the explanations are clear and concise. The practical examples and hands-on labs helped solidify my understanding, making complex concepts easier to grasp. Highly recommended for anyone looking to enhance their skills in AWS and AI technologies!

By Carla de Beer on 5/20/2024

Excellent course. Clearly explained with relevant examples. The CDK deployments came in handy. I had already completed another Udemy Bedrock course when I started this one but it really helps to view the service and the implementation options from another perspective.

Showing all 10 reviews on CourseDuck

Read all 1,564 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 94 / 100