Amazon Bedrock: Unleash Genai Without Code| 100% Drag & Drop

Bedrock Studio, PartyRock, Prompt Flows, Agents - using different models like Claude Sonnet, Llama, Titan, Stability AI.

What you'll learn

Master the fundamentals of generative AI and its business applications

Navigate the Amazon Bedrock console with confidence

Generate high-quality written content using AI models

Create custom images with AI using simple text prompts

Build interactive chatbots and AI assistants without coding

Customize AI outputs to match your brand voice and style

Implement responsible AI practices and ethical considerations

Integrate AI solutions into existing business workflows

Evaluate and optimize AI performance for better results

Complete hands-on, real-world AI projects using Amazon Bedrock

Requirements

Basic computer skills and familiarity with web browsers

Access to a computer with a stable internet connection

An AWS account

No prior coding or programming experience required

Basic understanding of cloud computing concepts (helpful but not mandatory)

Familiarity with common business software and applications

Enthusiasm to learn about AI and its practical applications

Willingness to experiment with new technologies

A business, creative, or personal project idea to apply AI concepts (optional)

Description

Course OverviewUnlock the potential of generative AI with Amazon Bedrock - no coding required! This course is designed for professionals, creatives, and enthusiasts who want to harness the power of advanced AI models without delving into complex programming. Learn to use Amazon Bedrock's user-friendly interface to create, customize, and deploy AI-powered solutions for various business and creative needs.What You'll LearnUnderstand the basics of generative AI and its applicationsNavigate the Amazon Bedrock console with easeUse pre-built AI models for text generation, summarization, and translationCreate stunning images with AI using simple promptsDevelop chatbots and conversational AI without codingCustomize AI outputs to suit your specific needsImplement best practices for responsible AI useIntegrate Bedrock-powered solutions into your workflowCourse ContentIntroduction to Generative AI and Amazon BedrockGetting Started with the Amazon Bedrock ConsoleExploring Available Foundation ModelsText Magic: Generation, Summarization, and TranslationVisual Creativity: AI Image Generation Made EasyBuilding Your Own AI AssistantCustomizing AI Outputs for Your BrandResponsible AI: Ethics and Best PracticesIntegrating Bedrock into Your Business WorkflowReal-world Use Cases and Practical ProjectsPrerequisitesBasic computer skillsNo coding experience requiredFamiliarity with AWS is helpful but not necessaryWho This Course is ForBusiness professionals seeking to implement AI solutionsContent creators looking to enhance their work with AIEntrepreneurs exploring AI-powered business ideasEducators interested in bringing AI into the classroomAnyone curious about using advanced AI without codingEmbark on your no-code AI journey with Amazon Bedrock and revolutionize the way you work, create, and innovate!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Content

Lecture 3 Connect With Me!!

Section 2: Playground - Explore & Relate

Lecture 4 Introduction to Bedrock

Lecture 5 PartyRock - Experience Bedrock like ChatGPT

Lecture 6 Understanding UI

Lecture 7 Enabling Model Access

Lecture 8 Post Model Access

Lecture 9 Using Chat Playground

Lecture 10 Modifying Response with Prompts

Lecture 11 Using Text Playground

Lecture 12 Using Image Playground

Section 3: Foundation Concepts

Lecture 13 What is AI

Lecture 14 What is Generative AI

Lecture 15 Opportunities available in GenAI

Lecture 16 AI, GenAI, ML, Deep Learning Relation

Lecture 17 FM vs LLM

Lecture 18 Retrieval Augmented Generation

Lecture 19 Crawling and Indexing

Lecture 20 Understanding Prompt Engineering

Lecture 21 Types of Prompt Engineering

Lecture 22 Bedrock Pricing

Section 4: Configurations - Inference Parameters

Lecture 23 Understanding Inference Parameters

Lecture 24 Temperature Hands-On

Lecture 25 Temperature Hands-On (II)

Lecture 26 Top P Hands-On

Lecture 27 Top P Hands-On (II)

Lecture 28 Are Models Configurations always right?

Lecture 29 Increase chances to get required results

Lecture 30 Top K Hands-On

Lecture 31 Most Probable Solution Hands-On

Lecture 32 Additional Configurations

Lecture 33 System Prompts

Lecture 34 Maximum Length

Lecture 35 Stop Sequence

Section 5: Safeguards

Lecture 36 Understandig Safeguards

Lecture 37 Guardrails SetUp

Lecture 38 Using Guardrails

Lecture 39 Watermark Detection

Section 6: Builder Tools

Lecture 40 Understanding Builder Tools

Lecture 41 Prompt Management

Lecture 42 Knowledge Base - Using Root User

Lecture 43 IAM Users & Roles

Lecture 44 IAM Policy

Lecture 45 Knowledge Base - Using IAM User

Lecture 46 Understanding Agents

Lecture 47 Agents Walkthrough

Lecture 48 Creating Agents using Assistant

Lecture 49 Defining Agents Manually

Lecture 50 Adding Action Groups & Guardrails in Agents

Lecture 51 Understanding Prompt Flow

Lecture 52 Prompt Flow with KB

Lecture 53 PromptFlow with Prompt Management

Lecture 54 PromptFlow with Prompt Creation & KB

Lecture 55 PromptFlow with Condition

Lecture 56 PromptFlow to check eligibility to vote

Section 7: Bedrock Studio SetUp

Lecture 57 Understanding Bedrock Studio

Lecture 58 IAM Organisation

Lecture 59 IAM Identity Center

Lecture 60 Adding User in Identity Center

Lecture 61 Enabling User in Identity Center

Lecture 62 Roles & Permissions required for Studio

Lecture 63 Studio Workspace Creation

Lecture 64 Assign Users to Workspace

Section 8: Bedrock Studio - Chat App

Lecture 65 Bedrock Studio Workspace UI

Lecture 66 Initial Chat App

Lecture 67 Guardrails with Chat App

Lecture 68 Editing Guardrails in Chat App

Lecture 69 Using Knowledge Base in Chat App

Lecture 70 Solution of Size Error in Chat App

Section 9: Bedrock Studio - Prompt Flow App

Lecture 71 Project Isolation

Lecture 72 Basic Prompt Flow App

Lecture 73 Flow App with KB & prompts

Lecture 74 Prompt Flow with Conditions

Section 10: Choosing the right FM

Lecture 75 Why right FM is necessity?

Lecture 76 Criteria for choosing right FM

Lecture 77 Model Evaluation

Lecture 78 Different Models Functionality

Business professionals seeking to implement AI solutions without coding,Entrepreneurs and small business owners looking to leverage AI capabilities,Marketing and content creators wanting to enhance their work with AI tools,Product managers interested in integrating AI features into their offerings,Customer service managers aiming to implement AI-powered chatbots,HR professionals looking to streamline processes with AI assistance,Educators and trainers curious about incorporating AI in their teaching methods,Consultants and advisors wanting to understand AI for client recommendations,Digital transformation specialists guiding AI adoption in organizations,Non-technical innovators with ideas for AI applications,Professionals in any field interested in staying current with AI trends,Anyone curious about AI who wants a hands-on, no-code learning experience