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Amazon Bedrock: AWS GenAI for All | No Code-100% Drag & Drop

Name: Amazon Bedrock: AWS GenAI for All | No Code-100% Drag & Drop
Rating: 4.6 (105 reviews)

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

Highest Rated

Created byKaran Gupta

Last updated 5/2025

English

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

Course content

11 sections • 78 lectures • 5h 58m total length

Introduction1:26
Contents3:47

Understanding Inference Parameters8:06
Temperature Hands-On6:02
Temperature Hands-On (II)2:03
Top P Hands-On4:59
Top P Hands-On (II)1:04
Are Model Configurations always right?3:56
Increase chances to get required results4:18
Top K Hands-On4:59
Most Probable Solution Hands-On2:46
Learn to tune temperature, top p, and top k to guide generative ai toward the most appropriate result with the anthropic sonnet model, noting randomness.
Additional Configuration6:10
System Prompts4:22
Maximum Length2:43
Stop Sequence3:24

Understanding Safeguards4:55
Understand safeguards for generative AI, including guardrails to block harmful topics. Learn how watermark detection identifies AI-generated images to support safe, ethical use, content filtering, access control, and compliance.
Guardrails SetUp7:53
Using Guardrails2:54
Apply guardrails to chat interactions with the anthropic sonnet model, upgrade versions as policies evolve, and manage working drafts to align behavior with industry norms.
Watermark Detection3:32

Understanding Builder Tools4:32
Prompt Management7:08
Master prompt management with the builder tool, creating and testing prompts and variables for industry use, then compare models like Titan and Sonnet for manufacturing AI.
Knowledge Base - Using Root User6:57
IAM Users & Roles5:55
IAM Policy3:21
Knowledge Base - Using IAM User6:57
Understanding Agents3:54
Agents Walkthrough3:56
Learn to create agents that act as assistants for hotel or flight bookings, using manual or assisted workflows. Configure models (Anthropic, Amazon, Meta), knowledge bases, memory, and guardrails, then test.
Creating Agents using Assistant8:43
Defining Agents Manually7:37
Adding Action Groups & Guardrails in Agents5:22
Understanding Prompt Flow5:50
Prompt Flow with KB5:01
Learn to build end-to-end workflows with prompt flow using drag-and-drop, integrating knowledge bases, permissions, KMS encryption, and lambda-powered code, while testing and troubleshooting outputs.
PromptFlow with Prompt Management3:18
Utilize the prompt flow builder to use prompts, configure them with topic and industry, and run outputs for artificial intelligence in manufacturing using the sonnet model.
PromptFlow with Prompt Creation & KB7:42
PromptFlow with Condition5:02
PromptFlow to check eligibility to vote6:26

Understanding Bedrock Studio7:21
IAM Organisation5:19
Master centralized management of multiple AWS accounts using IAM organization to centrally control policies, service access, consolidated billing, and organizational units.
IAM Identity Center4:10
Adding User in Identity Center6:29
Enabling User in Identity Center1:57
Enable and verify an AWS Bedrock user via IAM identity center, send a verification link for email-based two-step verification and MFA, then manage end-to-end permission sets and account access.
Roles & Permissions required for Studio8:55
Set up Bedrock Studio in the AWS console, configure permission boundaries, create inline policies and roles, and establish trust relationships to enable data zone access for Bedrock.
Studio Workspace Creation3:58
Assign Users to Workspace0:44

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 Overview

Unlock 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 Learn

Understand the basics of generative AI and its applications
Navigate the Amazon Bedrock console with ease
Use pre-built AI models for text generation, summarization, and translation
Create stunning images with AI using simple prompts
Develop chatbots and conversational AI without coding
Customize AI outputs to suit your specific needs
Implement best practices for responsible AI use
Integrate Bedrock-powered solutions into your workflow

Course Content

Introduction to Generative AI and Amazon Bedrock
Getting Started with the Amazon Bedrock Console
Exploring Available Foundation Models
Text Magic: Generation, Summarization, and Translation
Visual Creativity: AI Image Generation Made Easy
Building Your Own AI Assistant
Customizing AI Outputs for Your Brand
Responsible AI: Ethics and Best Practices
Integrating Bedrock into Your Business Workflow
Real-world Use Cases and Practical Projects

Prerequisites

Basic computer skills
No coding experience required
Familiarity with AWS is helpful but not necessary

Who This Course is For

Business professionals seeking to implement AI solutions
Content creators looking to enhance their work with AI
Entrepreneurs exploring AI-powered business ideas
Educators interested in bringing AI into the classroom
Anyone curious about using advanced AI without coding

Embark on your no-code AI journey with Amazon Bedrock and revolutionize the way you work, create, and innovate!

Who this course is for:

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

Amazon Bedrock: AWS GenAI for All | No Code-100% Drag & Drop

What you'll learn

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Course content

Introduction2 lectures • 5min

Playground - Explore & Relate9 lectures • 46min

Foundation Concepts10 lectures • 42min

Configurations - Inference Parameters13 lectures • 55min

Safeguards4 lectures • 19min

Builder Tools17 lectures • 1hr 38min

Bedrock Studio SetUp8 lectures • 39min

Bedrock Studio - Chat App6 lectures • 22min

Bedrock Studio - Prompt Flow App4 lectures • 15min

Choosing the right FM4 lectures • 17min

Requirements

Description

Who this course is for: