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Master Amazon Bedrock: No-Code AI Solutions (2024 Pro Guide)

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5:58:10

  • 1 - Introduction.mp4
    01:26
  • 2 - Content.mp4
    03:47
  • 3 - Connect With Me.html
  • 4 - Introduction to Bedrock.mp4
    04:10
  • 5 - PartyRock Experience Bedrock like ChatGPT.mp4
    12:49
  • 6 - Understanding UI.mp4
    07:24
  • 7 - Enabling Model Access.mp4
    04:21
  • 8 - Post Model Access.mp4
    01:15
  • 9 - Using Chat Playground.mp4
    05:34
  • 10 - Modifying Response with Prompts.mp4
    03:52
  • 11 - Using Text Playground.mp4
    03:15
  • 12 - Using Image Playground.mp4
    03:02
  • 13 - What is AI.mp4
    05:59
  • 14 - What is Generative AI.mp4
    04:03
  • 15 - Opportunities available in GenAI.mp4
    04:10
  • 16 - AI GenAI ML Deep Learning Relation.mp4
    05:21
  • 17 - FM vs LLM.mp4
    04:18
  • 18 - Retrieval Augmented Generation.mp4
    04:03
  • 19 - Crawling and Indexing.mp4
    03:52
  • 20 - Understanding Prompt Engineering.mp4
    04:10
  • 21 - Types of Prompt Engineering.mp4
    02:14
  • 22 - Bedrock Pricing.mp4
    04:13
  • 23 - Understanding Inference Parameters.mp4
    08:07
  • 24 - Temperature HandsOn.mp4
    06:02
  • 25 - Temperature HandsOn II.mp4
    02:03
  • 26 - Top P HandsOn.mp4
    04:59
  • 27 - Top P HandsOn II.mp4
    01:04
  • 28 - Are Models Configurations always right.mp4
    03:57
  • 29 - Increase chances to get required results.mp4
    04:18
  • 30 - Top K HandsOn.mp4
    04:59
  • 31 - Most Probable Solution HandsOn.mp4
    02:46
  • 32 - Additional Configurations.mp4
    06:10
  • 33 - System Prompts.mp4
    04:22
  • 34 - Maximum Length.mp4
    02:43
  • 35 - Stop Sequence.mp4
    03:24
  • 36 - Understandig Safeguards.mp4
    04:55
  • 37 - Guardrails SetUp.mp4
    07:53
  • 38 - Using Guardrails.mp4
    02:54
  • 39 - Watermark Detection.mp4
    03:32
  • 40 - Understanding Builder Tools.mp4
    04:32
  • 41 - Prompt Management.mp4
    07:08
  • 42 - Knowledge Base Using Root User.mp4
    06:57
  • 43 - IAM Users Roles.mp4
    05:55
  • 44 - IAM Policy.mp4
    03:21
  • 45 - Knowledge Base Using IAM User.mp4
    06:57
  • 46 - Understanding Agents.mp4
    03:54
  • 47 - Agents Walkthrough.mp4
    03:56
  • 48 - Creating Agents using Assistant.mp4
    08:43
  • 49 - Defining Agents Manually.mp4
    07:38
  • 50 - Adding Action Groups Guardrails in Agents.mp4
    05:22
  • 51 - Understanding Prompt Flow.mp4
    05:50
  • 52 - Prompt Flow with KB.mp4
    05:01
  • 53 - PromptFlow with Prompt Management.mp4
    03:19
  • 54 - PromptFlow with Prompt Creation KB.mp4
    07:42
  • 55 - PromptFlow with Condition.mp4
    05:02
  • 56 - PromptFlow to check eligibility to vote.mp4
    06:26
  • 57 - Understanding Bedrock Studio.mp4
    07:21
  • 58 - IAM Organisation.mp4
    05:19
  • 59 - IAM Identity Center.mp4
    04:10
  • 60 - Adding User in Identity Center.mp4
    06:29
  • 61 - Enabling User in Identity Center.mp4
    01:57
  • 62 - Roles Permissions required for Studio.mp4
    08:55
  • 63 - Studio Workspace Creation.mp4
    03:58
  • 64 - Assign Users to Workspace.mp4
    00:44
  • 65 - Bedrock Studio Workspace UI.mp4
    05:01
  • 66 - Initial Chat App.mp4
    05:21
  • 67 - Guardrails with Chat App.mp4
    04:18
  • 68 - Editing Guardrails in Chat App.mp4
    02:24
  • 69 - Using Knowledge Base in Chat App.mp4
    02:26
  • 70 - Solution of Size Error in Chat App.mp4
    02:35
  • 71 - Project Isolation.mp4
    01:13
  • 72 - Basic Prompt Flow App.mp4
    02:13
  • 73 - Flow App with KB prompts.mp4
    04:54
  • 74 - Prompt Flow with Conditions.mp4
    07:05
  • 75 - Why right FM is necessity.mp4
    03:03
  • 76 - Criteria for choosing right FM.mp4
    05:38
  • 77 - Model Evaluation.mp4
    04:35
  • 78 - Different Models Functionality.mp4
    03:22
  • More details


    Course Overview

    Discover how to implement powerful generative AI solutions without coding using Amazon Bedrock's drag-and-drop interface and leading AI models.

    What You'll Learn

    • Build AI chatbots and content generators with Claude, Llama, and Titan models
    • Master prompt engineering and inference parameters for optimal AI outputs
    • Implement responsible AI with guardrails and watermark detection

    Who This Is For

    • Business professionals implementing AI without coding
    • Entrepreneurs and marketers leveraging AI content creation
    • Non-technical users exploring AWS generative AI

    Key Benefits

    • 100% no-code approach with PartyRock and Bedrock Studio
    • Hands-on projects with real-world applications
    • Comprehensive guide to model selection and optimization

    Curriculum Highlights

    1. Amazon Bedrock Fundamentals & Playground
    2. Prompt Engineering & Model Configuration
    3. Building No-Code AI Solutions
    Focused display
    • language english
    • Training sessions 77
    • duration 5:58:10
    • Release Date 2025/05/10

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