AWS Bootcamp: Build AI Apps with AWS Bedrock

Overview

The perfect course to take the next step in your AI learning and start building AI applications that scale. Learn the cutting-edge world of AWS Bedrock and gain AI skills by building and deploying six AI projects using foundation models from OpenAI, Anthropic, Google, Cohere, Mistral and more, all from a single API!

Build and deploy Generative AI applications using AWS Bedrock
Summarize documents and extract key decisions with AI pipelines
Generate text, code, and images using foundation models
Improve model behaviour with fine-tuning and reinforcement fine-tuning
Evaluate and monitor LLM outputs for safety and quality
Deploy scalable, serverless AI systems on AWS
Build intelligent multi-agent AI systems
Create real-time voice AI agents using AWS Bedrock Nova Sonic

Syllabus

Introduction

The AWS Bootcamp: Build AI Apps with AWS Bedrock
Course Overview
Exercise: Meet Your Classmates and Instructor
Course Projects Explained
Capstone Project 1 Overview: Building Multi Agentic Workflows
Capstone Project 2: Building Interruptible Voice Agents
Course Updates
Course Resources

Initial Setup

Setting Up our AWS Account
Login to IAM User Account

Getting Started with AWS Bedrock

Introduction to Bedrock Foundation Models
Deep Dive Into Inference Configurations
Inference Profiles, Model Catalog, Provisioned Throughput and More Theory
Prompt Management, Optimization, and More
Exploring the Playground in AWS Bedrock
Exploring Modal Providers, Modalities, API Invocation and Pricing
Quotas, Model Comparison, Guardrails, and More
Image Generation in the Playground with Diffusion Models

Code Generation Project

Setting Up the Code Generation Project
Coding our Lambda Function and Integrating with AWS Bedrock
Setting up API Gateway and our Serverless Stack
Testing our Live Endpoint
Creating our Boto3 Lambda Layer
Attaching our Lambda Layer to our Function
Testing our Bedrock Model
Verifying Final Output of Bedrock

Meeting Notes Summarisation Project with Bedrock

Setting up our Lambda Function with Bedrock for Content Summarization
Finishing our Lambda Function for Meeting Summarisation
Creating new API Gateway Endpoint for this Lambda Function
Invoking our Serverless Meeting Notes Summarisation Endpoint
Analyzing the Final Results

Using Diffusion Models with Bedrock for Image Creation

Project Introduction
Stability AI Update Lecture
Setting up API Gateway Route (Serverless) for New Generative AI Model Invocation
Invoking our Stable Diffusion model for Image Generation
Analysing our Final Output

Evaluating Large Language Model Performance with AWS Bedrock Evaluator

Set up Evaluation Job for Anthropic's Claude model
Possible CORS Error
Evaluating our Results

Retrieval Augmented Generation (RAG) with AWS Bedrock

Introduction to AWS Bedrock Knowledge Base
Retrieval Augmented Retrieval (RAG) Overview
Setting Up Our Own Knowledge Base - Part 1
Setting Up Our Own Knowledge Base - Part 2
Testing our Bedrock Knowledge Base with Antropic's Claude Model
Clean Up Resources
API Resources

Cleanup

Information About Next Video
A Little Cleanup and Congratulations!

Building Multi-Agentic AI Workflow

Architecture Diagram of Our Multi Agentic Workflow
LLM Model Access, API Rate Limits, Quotas, and AWS Regions
Introduction to AWS Bedrock Agents
Creating the Restaurant Agent
Creating our AWS S3 Bucket To Store Our Data
Uploading Restaurant Data to AWS S3
Creating an Action Group For Our Restaurant Agent
Finishing Our Lambda Function for our Restaurant Agent
Testing Our Restaurant Agent
Setting Up the Accommodation Agent
Uploading Our Hotel and Airbnb Data to AWS S3
Creating The Lambda Function Action Group For The Accommodation Agent
Finishing Our Accommodation Agent
Testing the Accommodation Agent
Creating and Testing The Supervisor Agent
Explaining Agent Collaborators
Multi Agent UI Enhancement, Timing Agents
Serverless Invocation of the Supervisor Agent using AWS Lambda
Setting up AWS API Gateway to Deploy Our Worfklow Through the Internet
Testing Our Endpoint Through The Internet with Postman
Cleaning Up Resources

Deploying Agents with AWS Bedrock AgentCore

What is AWS Bedrock Agent Core
Bedrock Agent Core Course Resources
Accessing AgentCore via Sagemaker AI Setup
Finishing SagemakerAI Setup
AWS Bedrock Agent Core Architecture Diagram
Creating our Test Agent
Testing Our Agent
Configuring the AgentCore Runtime
Deploying the Agent to AgentCore
Tracing the Agent Logs in CloudWatch for Observability
Don't forget to shutdown the SagemakerAI Server
Session Management for Agents
Understanding AgentCore Sessions
Lifecycle Management for AgentCore Sessions
Cost Calculations for AgentCore Runtime
Understanding Costs

Adding Short and Long Term Memory To Bedrock Agents via Bedrock AgentCore

Understanding Short Term Memory
Short Term Memory Imports
Create the Resources for Short Term Memory
Verify Agent Memory Creation in the UI
Implementing Memory Hooks
Creating the Duck Duck Go Web Search Agent
Testing our Short Term Memory Agent
Understanding the Pricing of Short Term Memory
Introduction to Long Term Memory
Long Term Memory Strategies: Semantic, Preferences and Summaries
Inspecting Short Term Memory
Inspecting Long Term Memory
Testing our Agent with a Combined Short and Long Term Memory
Long Term Memory Pricing

2026 Updates: Reinforcement Fine Tuning, BDA, Prompt Router, Batch Mode + more

Prompt Management with AWS Bedrock
Watermark Detection, Was this image Created with AI?
Detail About Upcoming Video
Reinforcement Fine Tuning with AWS Bedrock
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 1
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 2
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 3
Intelligent Prompt Routing with AWS Bedrock
Using LLMs in Batch Inference Mode in AWS Bedrock