Name: Ultimate AWS Bedrock Guide: Build and Scale Generative AI Apps
Price: -1 USD

Overview

Learn the cutting-edge world of AWS Bedrock and gain skills to create AI apps. You'll build and deploy three AI projects using foundation models from Meta, Anthropic, Cohere, Mistral and more, all from a single API!

Gain insights into AWS Bedrock and LLMs, positioning yourself at the forefront of AI innovation
Build a theoretical and practical foundation in AI, encompassing everything from LLMs to Diffusion Models
Apply knowledge through projects like chatting with data, coding with foundational models, and image generation
Acquire skills in serverless architecture integration and deployment using AWS services including AWS Bedrock, API Gateway, Lambda functions, S3, Postman, and more
Learn to fine-tune and evaluate LLMs for ethical and effective AI solutions
Position yourself as a valuable asset in the evolving AI industry
Get hands-on experience with AWS services, directly transferable to professional settings
Develop critical thinking and problem-solving skills in AI project design and execution, preparing you for complex challenges in the tech field

Syllabus

Introduction

Introduction
What We're Building
FAQ
Exercise: Meet Your Classmates and Instructor
Course Resources

Initial Setup

Setting Up our AWS Account
Login to IAM User Account

Getting Started with AWS Bedrock

What is AWS Bedrock?
Introduction to Foundational Models
Foundational Model Providers
Bedrock Playground and Pricing
Inspecting Model Inference Configurations for LLMs and Image Generation Models
Training Foundation Models with your Custom Data

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
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

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