Amazon Bedrock - Learn AI on AWS with Python! (Udemy.com)
Discover the power of Generative AI on AWS with Amazon Bedrock, create text and images with Python!
Created by: Jose Portilla
Last updated December 2023
What you will learn
- Discover the fundamentals of Amazon Bedrock's AI platform, gaining a comprehensive understanding of its architecture and capabilities.
- Learn how to effectively install, configure, and utilize Amazon Bedrock's tools, including an in-depth exploration of text processing with Amazon Titan.
- Master the use of advanced AI techniques such as Retrieval Augmented Generation (RAG), and how to apply embeddings and large language models for the real world.
- Develop proficiency in extracting and processing complex information from diverse data sources, such as PDF documents and call transcripts
- Understand the principles of AI-powered text and image processing, including the exploration of Stability AI parameters and Amazon's Boto3 for image generation
- Apply your learned skills in practical, hands-on projects, including the creation of a visual recipe guide.
Course Description
Welcome to this course on Amazon Bedrock. This program has been expertly crafted to immerse you in the world of Amazon's AI platform, Bedrock, emphasizing practical Python applications. Suitable for both AI novices and seasoned practitioners, this course promises to deepen your understanding and provide hands-on experience in AI.
The course journey commences with an enlightening Section 1, offering an introduction to the course layout, essential resources, and FAQs. This foundational segment is essential for equipping you with the necessary tools and knowledge about Amazon Bedrock, including detailed installation and setup instructions to kickstart your AI adventure.
In Section 2, we delve into the complexities of Amazon Bedrock's text models. You'll explore critical text processing parameters and work with Amazon Titan and Llama 2, Bedrock's advanced text modeling tools. This section combines theoretical knowledge with practical application, featuring a project on call transcript analysis and exercises to enhance your skills in extracting and processing information from PDFs.
Section 3 transports you to the fascinating world of AI-powered image generation. It covers the essentials of image creation with Stability AI parameters and Amazon's Boto3, including Titan's capabilities in this area. The section's highlight is the Recipe Code Along Project, where you will creatively and technically generate a visual recipe guide.
The course culminates in Section 4, focusing on Retrieval Augmented Generation (RAG). This advanced topic is pivotal in AI, and you'll learn about its practical applications and benefits, particularly how Amazon Bedrock integrates embeddings and large language models in RAG.
Instructor Details
- 4.6 Rating
1,014 Reviews
Jose Portilla
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
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Reviews
By Dimitri Boiroux on 4/13/2025
Good intro to AWS Bedrock. The concepts and examples are well explained. Some things in AWS have changed since the course was made, but they are minor (like buttons at different places or button with a slightly different name).
By Gary Giuntoli on 9/28/2024
I had a few problems with the difference between the lecture and the code. However as a free class it was very helpful for the discussion and explanation of what could be done with Bedrock.
By Michael Lindsey on 8/20/2024
Excellent instructor. One of Fav's. Uses notebooks which I find great for hands on learning. I many of Jose's courses. They are worth the price and more but they are absolutely worth your time. Two thumbs up
By Chris Foufoulides on 5/30/2024
Very good course as always from Jose. Building a DataFrame with vector embeddings and getting the most similar vector for the RAG Application was good to understand the fundamentals how a vector store and similarity search works. But I would like an update where we also utilize a Bedrock vectorstore (Knowledge Base) that is now available.
By Akhtar Zaman on 5/25/2024
The course content is great. There are many things that can be done through Bedrock, probably the the course should cover little more topics and use-cases that can be done by Bedrock, other than that, this is a very good course with hands-on coding.
By Kushagra Kachhawaha on 4/12/2024
overall the course is good beginners. it could have more lectures on embedding PDF and or more comprehensive word documents. Mostly professional enrolling this course would be already keen to know more in details about Amazon Bedrock and what it could provide to solve enterprise problems, so more use cases on RAG especially catered to enterprise problems will add more value to this course.
By Shirley Choi-Grogan on 4/7/2024
This has been a very fun and useful training! I have 2 Python courses before so I can relate to the exercises. This course gives me a much better understanding of how the different models are used to generate responses.
By Shaun Waterman on 2/7/2024
Well presented course with clear and concise information. Only slight modifications are required to get the notebooks running on Google Colabs rather than running the notebooks locally. Excellent course, highly recommended.
By Eric Esajian on 1/20/2024
Keep the python and AWS courses coming Jose! Great course, content is clear, no major issues throughout the course. I hope that as the AWS AI ecosystem expands, this course will continue as well. Thanks as always Jose!
By Stephen Pershing on 1/15/2024
Coming out of re:Invent 2023, I was fired up to get my hands on Bedrock but didn't have a lot direction on how to get a deeper, more practical understanding of the concepts. This course was exactly what I was looking for. It gives you a good foundation for accessing the models, and a really valuable lesson in RAG (which is something that I had little understanding of how to actually employ). If you want to get your hands dirty with Bedrock, this is the perfect starting point.
Quality Score
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Overall Score : 92 / 100












