Amazon Bedrock Learning Series

Unleash the potential of Amazon Bedrock in this comprehensive learning series. Master the fundamentals through introduct

Created byJohn Cherian

Last updated 7/2025

English

English [Auto],

What you'll learn

Familiarize with Amazon Bedrock console
Learn how to use Amazon Bedrock along with BOTO3
Amazon Bedrock and Lang chain
Building an AI chatbot
Building an Amazon Bedrock Knowledge base
Building an Amazon bedrock Agent

Course content

13 sections • 30 lectures • 3h 40m total length

Course outline2:27
Provide course outline. what it covers? who it benefits? what to expect after completion?
What is Amazon Bedrock3:19
Explore Amazon Bedrock as a managed API platform hosting around 23 foundation models, enabling simple integration via Boto3 or LangChain, with rapid prototyping, streamlined deployment, and no infrastructure management.
Amazon Bedrock Console13:27
Welcome to our comprehensive guide to Amazon Bedrock! In this video, we take you on an exciting journey through the Amazon Bedrock console, showcasing how to leverage its robust capabilities to transform your business operations.
? What We Cover: Introduction to AWS Bedrock:
Get a brief overview of what Amazon Bedrock is and its significance in the world of cloud computing.
Navigating the Console: A step-by-step guide to navigating the Amazon Bedrock console, highlighting key features and tools.
Foundation Models in Action: Dive into the world of foundation models. Learn how they can be applied in various business scenarios for enhanced efficiency and innovation.
Real-World Applications: Understand how foundation models can be utilized in different industries, backed by practical examples.
? Key Takeaways: Gain valuable insights into the functionalities and benefits of Amazon Bedrock. Discover the potential of foundation models in driving business growth and innovation. Learn practical applications and implementation strategies.

Interaction with Amazon Bedrock using AWS SDK BOTO310:26
Learn to interact with amazon bedrock foundation models via boto3, build prompts, and run a demo on cloud v2 for question answering and PII data extraction.
Interaction with Amazon Bedrock using Langchain13:15
Introduction to Langchain with Amazon Bedrock: Discover the synergy between Langchain and Amazon Bedrock, setting a strong foundation.
Your First Langchain Project on AWS: Create a basic 'Hello World' application using Langchain on Amazon Bedrock.
Deep Dive into Anthropic's Clause V2: Explore the capabilities and integration of Anthropic's Clause V2 model within Langchain projects.
Building an Advanced Chain of Thought: Develop a complex Chain of Thought application, utilizing the full power of Langchain, Amazon Bedrock, and Anthropic's Clause V2.

Introduction to Retrieval Augmented Generation3:26
Introduction on Retrieval Augmented Generation and use cases
Amazon Bedrock Knowledge Base2:27
Introduction to Amazon Bedrock Knowledge base and VectorDB
Lab: Building Knowledge Base in Amazon Bedrock via AWS Console2:50
Lab on creating Knowledge base via Amazon Bedrock Console
Lab:Building Knowledge Base via AWS SDK route14:12
Lab to build Knowledge base using AWS SDK. This is a preferred route for production deployment where the knowledge bases are continuously updated.

Introduction3:01
Explore how Amazon Bedrock Agent enables AI powered applications with foundation models, breaking complex tasks into smaller jobs and orchestrating through step functions, Lambda, and data sources for personalized responses.
Use case - Interview process automation4:20
Complex jobs broken down into simpler task and discuss how to automate it using Amazon Bedrock agents
Lab - Interview process automation using Bedrock Agents8:45
Create a bedrock agent from a knowledge base stored in S3, vectorized with OpenSearch serverless, and test its resume screening for job fit.

Introduction to Prompt Engineering2:23
Introduction on Prompt Engineering for various LLM models
Prompting Basics3:16
Talks about prompting basics and how it changes based on LLM model
Amazon Bedrock Inference parameter and prompting3:19
Design clear prompts and tune inference parameters on Amazon Bedrock to produce precise, relevant outputs for classification, summarization, and other tasks using temperature, maximum generation length, and penalties.
Intro to Prompt Flow and Prompt Management12:08

Amazon Bedrock Model Evaluation- Introduction15:05
Introduction to Model evaluation
Lab: Amazon Bedrock Model Evaluation4:32
Lab on Amazon Model Evaluation
Amazon Bedrock Guardrails3:30
Talk about the Amazon Bedrock Guardrails feature. It is in preview phase and a request is needed to get access to this feature
Amazon Bedrock Guardrails- Generally Available8:46
Explore Amazon Bedrock guardrails, now generally available, and learn to deny topics, filter profanity, protect sensitive information with regex masking, and test configurations in the Bedrock console.

Why do we need to Fine-tuning an LLM model4:45

This course delves into the advanced techniques of optimizing Amazon Bedrock, with a special focus on fine-tuning. Utilizing the Amazon Titan Lite model, the lecture is tailored for enhancing LLM model performance on smaller datasets. Participants will gain hands-on experience and in-depth knowledge on refining their use of Amazon Bedrock, optimizing their workflows for efficiency and effectiveness in data management and analysis.
Lab- Fine-Tuning Amazon Bedrock5:10
The video focusses on Fine tuning the Amazon Bedrock model Amazon Titan Lite

Amazon Bedrock Infrastructure Security3:14
Learn how Amazon Bedrock secures data with encryption in transit and at rest, enables fine-grained IAM access, and supports HIPAA, GDPR, and CCPA eligibility, plus private connectivity via PrivateLink.
LLM Model Threat Modeling3:37
The section on Threat Modeling for Large Language Models (LLMs) within a cybersecurity course delves into the systematic process of identifying, evaluating, and prioritizing potential threats to these advanced AI systems.

Gen AI Strategy for Emerging AI Organization15:32
Learn how early-stage AI organizations can effectively utilize Amazon Bedrock to develop generative AI solutions with simplicity and efficiency. This video breaks down streamlined approaches, practical tips, and essential tools, demonstrating how to harness the power of Amazon Bedrock to drive innovation without complexity. Perfect for startups and small teams looking to make a big impact with generative AI.

Diagram -https://github.com/JohnChe88/cloudtec...

Requirements

Access to the AWS
Access to some Foundation models on AWS
AWS Cloud9

Description

Dive Deep into the World of Generative AI: A Comprehensive Amazon Bedrock Learning Series

Master the fundamentals and unlock the power of Amazon Bedrock to build next-generation AI applications. This immersive learning series equips you with the knowledge and skills to leverage the capabilities of Amazon Bedrock, a revolutionary service that simplifies access to leading Foundation Models (FMs).

The course progressively guides you through various aspects:

Introduction to Amazon Bedrock: Gain a solid understanding of the service, its core functionalities, and the benefits it offers for building AI-powered applications.
Console Overview: Become familiar with the intuitive Amazon Bedrock console, navigating its various sections and features to effectively manage your FMs and applications.
Unveiling the Knowledge Base: Explore the extensive knowledge base, your one-stop shop for in-depth information, tutorials, and best practices to maximize your Bedrock experience.
Harnessing the Power of Bedrock Agents: Delve into the world of Bedrock Agents, a powerful tool that streamlines complex workflows and automates multi-step tasks, enabling you to build sophisticated AI applications without extensive coding.
Building AI Chatbots with Bedrock: Learn how to leverage FMs and Bedrock functionalities to craft intelligent chatbots that can engage in natural language conversations, enhancing user experiences in various applications.

Through a combination of lectures, demonstrations, and hands-on exercises, you'll gain the practical skills to:

Select the appropriate FM for your specific needs.
Fine-tune FMs to achieve optimal results.
Integrate FMs and Bedrock Agents into your applications.
Deploy and manage AI-powered solutions built with Bedrock.

This course is ideal for:

Developers seeking to integrate AI functionalities into their projects.
Businesses looking to leverage AI for tasks like content creation, data analysis, and customer service automation.
Individuals with an interest in exploring the potential of Generative AI and its applications.

By the end of this comprehensive series, you'll be equipped with the knowledge and skills to confidently leverage Amazon Bedrock and unlock the transformative power of AI in your endeavors.

Who this course is for:

Amazon Bedrock : Beginner and Intermediate

Amazon Bedrock Learning Series

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 19min

Interaction with Amazon Bedrock2 lectures • 24min

Power of Retrieval-Augmented Generation in Amazon Bedrock4 lectures • 23min

Amazon Bedrock Agents3 lectures • 16min

Prompt Engineering4 lectures • 21min

Model Evaluation on Amazon Bedrock models4 lectures • 32min

Amazon Bedrock Fine-Tuning2 lectures • 10min

Security2 lectures • 7min

Generative AI Use Case Demo1 lecture • 12min

Gen AI strategy with Amazon bedrock1 lecture • 16min

Requirements

Description

Who this course is for: