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Ultimate AWS AI Practitioner Pro: Master GenAI & ML 2024

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3:11:42

  • 1 -Introduction.mp4
    03:41
  • 2 -Course Content.mp4
    04:58
  • 1 -Introduction.mp4
    00:48
  • 2 -AI-Terminology.mp4
    04:13
  • 3 -ML Fundamentals.mp4
    03:02
  • 4 -Inferencing.mp4
    00:50
  • 5 -Deep Learning, Gen-AI Fundamentals.mp4
    02:51
  • 6 -Amazon AI Services.mp4
    04:38
  • 1 -Introduction.mp4
    00:56
  • 2 -AI Use Cases.mp4
    03:16
  • 3 -ML Use Cases.mp4
    02:00
  • 4 -Gen AI - Capabilities and Limitations.mp4
    01:54
  • 1 -Introduction.mp4
    01:36
  • 2 -ML Lifecycle.mp4
    02:54
  • 3 -Amazon SageMaker.mp4
    03:39
  • 4 -SageMaker Models.mp4
    01:22
  • 5 -Model Performance Evaluation.mp4
    02:59
  • 6 -MLOps.mp4
    01:58
  • 7 -Gen-AI Solution.mp4
    04:02
  • 8 -Gen-AI Evaluation and Deployment.mp4
    02:58
  • 1 -Amazon Bedrock.mp4
    03:43
  • 2 -Amazon-Bedrock-Demo.mp4
    06:55
  • 3 -Bedrock-Guardrails.mp4
    04:26
  • 4 -Bedrock-Evaluation.mp4
    04:51
  • 1 -Introduction.mp4
    01:05
  • 2 -What is Prompt.mp4
    01:00
  • 3 -Prompt building blocks.mp4
    01:57
  • 4 -Negative Prompting.mp4
    02:39
  • 5 -Prompt best practices and risk.mp4
    02:41
  • 6 -Prompt Engineering Techniques.mp4
    04:10
  • 1 -Introduction.mp4
    01:21
  • 2 -What is Responsible AI.mp4
    03:45
  • 3 -Gen-AI Challenges.mp4
    01:54
  • 4 -Dimensions of AI.mp4
    02:14
  • 5 -Benefits of Responsible AI.mp4
    02:25
  • 6 -Amazon Services for Responsible AI.mp4
    01:39
  • 7 -Safeguards-Bias.mp4
    01:38
  • 8 -Transparency and Governance.mp4
    04:01
  • 1 -Introduction.mp4
    01:17
  • 2 -Vector Embeddings.mp4
    03:10
  • 3 -Gen-AI Agents.mp4
    01:30
  • 4 -Evaluate Gen-AI Results.mp4
    01:38
  • 5 -Fine Tuning.mp4
    03:15
  • 6 -Model Evaluation.mp4
    01:42
  • 1 -Introduction.mp4
    02:07
  • 2 -AWS Services.mp4
    02:46
  • 3 -Governance.mp4
    02:42
  • 4 -Data and Model Lineage.mp4
    01:21
  • 1 -Amazon Q.mp4
    03:48
  • 2 -Amazon Q - Demo.mp4
    03:49
  • 1 -Amazon Textract.mp4
    02:23
  • 2 -Amazon Textract - Demo.mp4
    05:02
  • 3 -Amazon Translate.mp4
    02:09
  • 4 -Amazon-Translate-Demo.mp4
    06:59
  • 5 -Amazon Augmented AI.mp4
    01:52
  • 6 -Amazon Augmented AI - Demo.mp4
    04:45
  • 7 -Amazon Comprehend.mp4
    03:14
  • 8 -Amazon Comprehend - Demo.mp4
    04:52
  • 9 -Amazon Comprehend Medical.mp4
    00:56
  • 10 -Amazon Comprehend Medical - Demo.mp4
    02:39
  • 11 -Amazon Transcribe.mp4
    01:16
  • 12 -Amazon Transcribe - Demo.mp4
    05:15
  • 13 -Amazon Transcribe Medical - Demo.mp4
    00:44
  • 14 -AWS Services Recap.mp4
    04:40
  • 15 -AWS Services Recap (cont..).mp4
    02:13
  • 16 -AWS Services Recap (cont..).mp4
    03:09
  • 17 -AWS Services Recap (cont..).mp4
    03:30
  • More details


    Course Overview

    Master artificial intelligence on AWS with this comprehensive certification prep course covering AI/ML fundamentals, Generative AI, Amazon Bedrock, SageMaker, prompt engineering, and responsible AI practices - no prior AWS or AI experience required.

    What You'll Learn

    • AI/ML fundamentals including deep learning and inferencing
    • Hands-on experience with Amazon Bedrock, Q, and SageMaker
    • Prompt engineering techniques and responsible AI implementation

    Who This Is For

    • Aspiring AWS AI Practitioners seeking certification
    • Professionals starting their AI/ML journey on AWS
    • Developers wanting to implement GenAI solutions

    Key Benefits

    • Includes practice exam for AIF-C01 certification
    • Demos of key AWS AI services like Textract and Comprehend
    • Covers MLOps, model evaluation, and fine-tuning

    Curriculum Highlights

    1. AI & ML Fundamentals with AWS Services
    2. Developing ML & Gen-AI Solutions
    3. Amazon Bedrock and Prompt Engineering
    Focused display
    • language english
    • Training sessions 67
    • duration 3:11:42
    • Release Date 2025/06/08