Mastering Genai On Aws

Dive deep into Amazon Bedrock, LangChain and Amazon Q to build and scale GenAI powered solutions.

What you'll learn

The core principles of Generative AI and how it’s revolutionizing industries.

How to use AWS services for building and scaling AI-powered solutions.

Practical techniques for implementing AI pipelines, from data preprocessing to model deployment.

Hands-on guidance for integrating GenAI into real-world applications.

Requirements

Basic Knowledge of Cloud Computing

Foundational Programming Skills

Description

Unlock the potential of Generative AI (GenAI) and take your career to new heights with "Mastering GenAI using AWS." This comprehensive, hands-on course is designed for data professionals, developers, and AI enthusiasts eager to build and scale intelligent applications using cutting-edge tools from Amazon Web Services (AWS). Whether you're new to GenAI or looking to expand your expertise, this course provides the practical knowledge and skills needed to succeed in the rapidly evolving AI landscape. You'll dive into foundational concepts, explore the transformative impact of GenAI, and learn how to leverage AWS services like Amazon Bedrock and Amazon Q for real-world applications. From setting up your environment and building reliable AI pipelines to deploying production-ready solutions, this course offers a step-by-step approach that ensures you can confidently implement AI technologies in your projects. With a focus on practical learning, you'll gain hands-on experience through engaging tutorials and projects, helping you develop skills that are immediately applicable to your career. Whether you're looking to advance in your current role or pivot into AI-driven fields, this course equips you with the tools and knowledge to stay ahead of the curve. Join a vibrant community of learners and start your journey into the world of Generative AI with AWS today!

Overview

Section 1: Course Introduction

Lecture 1 Welcome and Course Introduction

Lecture 2 Resources

Section 2: Introduction to GenAI

Lecture 3 Section Introduction

Lecture 4 Understanding GenAI

Lecture 5 Technologies behind GenAI

Lecture 6 Large Language Models

Lecture 7 Amazon Bedrock

Section 3: Introduction to AWS AI Services

Lecture 8 Section Introduction

Lecture 9 AWS AI Ecosystem Overview

Lecture 10 Setup AWS Account

Section 4: Setup Dev Environment

Lecture 11 Section Introduction

Lecture 12 Overview of Dev Environment setup

Lecture 13 VSCode with Docker

Lecture 14 LangChain Framework

Lecture 15 Setup Jupyter Notebooks

Section 5: Amazon Bedrock and LangChain

Lecture 16 Section Introduction

Lecture 17 Overview of Amazon Bedrock

Lecture 18 Hands-On: First Interaction with Foundation Models

Lecture 19 Hands-On: String Prompt Template

Lecture 20 Hands-On: Chat Prompt Template

Lecture 21 Hands-On: LLM Chains

Lecture 22 Hands-On: LLM SimpleSequentialChains

Lecture 23 Hands-On: Prompt Types

Lecture 24 Hands-On: Bedrock Agents

Lecture 25 Hands-On: Research Paper Summarization

Lecture 26 Amazon Bedrock: Prompt Management

Lecture 27 Amazon Bedrock: Prompt Flows

Lecture 28 Amazon Bedrock Knowledge Bases

Lecture 29 Amazon Bedrock Studio

Section 6: Amazon Q

Lecture 30 Section Introduction

Lecture 31 Overview of Amazon Q

Lecture 32 Setup your First Amazon Q Application

Lecture 33 Setup Data Sources

Lecture 34 Authentication and Access Management

Lecture 35 Customizing Amazon Q Application

Lecture 36 Admin Controls and Guardrails

Section 7: Final Project

Section 8: Course Wrap

Lecture 37 Thank You!

Data Professionals looking to upskill in AI-driven solutions.,Developers aiming to harness the power of AWS for AI projects.,AI Enthusiasts eager to gain hands-on experience with the latest technologies.