Overview of Amazon Q | Data Mastery

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Mastering GenAI using AWS

Introduction

Welcome and Course Introduction (1:00)
Resources

Introduction to GenAI

Section Introduction (0:39)
Understanding GenAI (9:40)
Technologies Behind GenAI (6:55)
Large Language Models (3:39)
Amazon Bedrock (3:29)
Quiz
Assignment: Exploring GenAI Applications

Introduction to AWS AI Services

Section Introduction (0:34)
AWS AI Ecosystem Overview (4:39)
Setup AWS Account (7:38)
Quiz
Assignment: AWS AI Ecosystem Overview

Setup Dev Environment

Section Introduction (0:30)
Overview of Dev Setup (2:49)
VSCode with Docker (8:17)
LangChain Framework (2:43)
Setup Jupyter Notebooks (3:05)
Quiz
Assignment: Creating a Dockerized Development Setup

Deep Dive - Amazon Bedrock and LangChain

Section Introduction (0:36)
Overview of Amazon Bedrock (3:20)
Hands-On: First Interaction with Foundation Models (13:29)
Hands-On: String Prompt Template (8:00)
Hands-On: Chat Prompt Template (10:54)
Hands-On: LLM Chains
Hands-On: LLM SimpleSequentialChains (6:55)
Hands-On: Prompt Types (8:54)
Hands-On: Bedrock Agents (19:25)
Hands-On: Research Paper Summarization (10:50)
Amazon Bedrock - Prompt Management (10:42)
Amazon Bedrock - Prompt Flows (9:07)
Amazon Bedrock - Knowledge Bases (15:16)
Amazon Bedrock Studio (15:55)
Quiz
Assignment: Building a Conversational Flow with LangChain

Deep Dive - Amazon Q

Section Introduction (0:40)
Overview of Amazon Q (3:21)
Setup your First Amazon Q Application (10:43)
Setup Data Sources (7:38)
Authentication and Access Management (6:43)
Customize Amazon Q Application (8:32)
Admin Control and Guardrails (11:24)
Quiz
Assignment: Building a Custom GenAI-Powered Application

Final Project

Building a GenAI-Powered Application Using AWS and LangChain

Course Wrap

Thank You! (0:45)

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Overview of Amazon Q

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