Mastering Aws Bedrock: Build Intelligent Genai Applications

Learn AWS Bedrock - Knowledge Bases, Agents, Prompts and Guardrails through hands-on labs and real-world examples

What you'll learn

Understand the fundamentals of AWS Bedrock and its builder tools.

Configure Knowledge Bases and use vector embeddings for intelligent solutions.

Design and manage Agents with Action Groups and Knowledge Base integration.

Implement Prompt Management with variables and dynamic flows.

Orchestrate advanced workflows using Flows, Agents, and Prompts.

Develop secure AI applications with Guardrails.

Requirements

Basic understanding of cloud services.

Willingness to learn and experiment with hands-on labs.

Description

Unlock the Power of AWS Bedrock to Build AI-Powered ApplicationsWelcome to Mastering AWS Bedrock, a comprehensive course designed to help you harness the power of AWS Bedrock’s tools and services. Whether you're a beginner or an experienced developer, this course will take you step-by-step through concepts, configurations, and hands-on exercises that showcase the potential of AWS Bedrock in building intelligent applications.What You’ll Learn:Knowledge Bases (KB): Dive deep into the concept of vector embeddings and retrieval-augmented generation (RAG), essential for optimizing large-scale AI applications. Learn how to configure Knowledge Bases and integrate them seamlessly with other AWS Bedrock tools using practical examples to solidify your understanding.Agents: Master the configuration of AWS Bedrock agents to streamline AI workflows. Gain hands-on experience in implementing action groups, handling parameters, and orchestrating requests effectively to Knowledge Bases. Understand how agents serve as the backbone of dynamic and intelligent AI interactions.Prompt Management: Develop expertise in creating, managing, and optimizing prompts to fine-tune AI responses. Explore the use of variables and strategies for effective prompt engineering, a critical skill for delivering customized user experiences in AI applications.Flows: Learn to build advanced workflows by integrating Knowledge Bases, agents, and prompts. Flows allow you to design seamless interactions and manage complex application logic, ensuring efficient and scalable AI solutions.Guardrails: Understand the importance of security and compliance in AI systems. Learn how to implement robust guardrails to ensure your applications adhere to best practices, remain reliable, and mitigate risks effectively.Hands-On Labs: Apply your knowledge through hands-on labs that walk you through building end-to-end solutions. Combine Knowledge Bases, agents, and prompts to create practical, real-world AI applications that solve complex problems.

Overview

Section 1: Builder Tools : Knowledge Bases(KB)

Lecture 1 Concept - Vector Embedding

Lecture 2 Concept - RAG

Lecture 3 Introduction to KB

Lecture 4 Pre-requisites

Lecture 5 KB Configuration

Lecture 6 KB HandsOn

Section 2: Builder Tools : Agents

Lecture 7 Agents Configuration Walkthrough

Lecture 8 HandsOn Agents with Action Group

Lecture 9 HandsOn Action Group with Parameter

Lecture 10 HandsOn Agents with KnowledgeBase

Lecture 11 Agents Orchestration - Learn how agents orchestrates request to resources

Section 3: Builder Tools : Prompt Management

Lecture 12 Introduction to Prompt

Lecture 13 HandsOn Prompt Management

Lecture 14 HandsOn Variables in Prompt Management

Section 4: Builder Tools : Flows

Lecture 15 Introduction to Flows

Lecture 16 Flows - Hands On

Section 5: Builder Tools - Lab

Lecture 17 Lab - Build Advanced Flows with Agents, Prompt and KB

Section 6: Guardrails

Lecture 18 Introduction to Guardrails

Lecture 19 Guardrails Components

Lecture 20 HandsOn Guardrails

Developers looking to build intelligent applications using AWS Bedrock.,IT professionals who want to explore AI-driven solutions for their organizations.,Students and beginners eager to learn about cutting-edge AI tools and techniques.,Entrepreneurs and solution architects designing AI-enhanced systems.