Course curriculum

    1. Segment 00: Reading - Welcome to the Course: Course Overview

    2. Segment 01: Introduction and Welcome

    3. Segment 02: Understanding GenAI and Why Azure

    4. Segment 03: Reading - Introducing to Responsible AI on Azure

    5. Segment 04: Exploring Azure OpenAI Services

    6. Segment 05: Understanding Model Selection and Use Cases

    7. Segment 06: Hands On Learning - Creating Your First Prompt Towards a Model with Azure OpenAI

    1. Segment 07: Configuring Azure OpenAI for Code Usage

    2. Segment 08: Integrating Azure OpenAI into the DevOps Workflow

    3. Segment 09: Utilizing Azure OpenAI’s GenAI for Log Analysis

    4. Segment 10: Hands On Learning - Integrating Azure OpenAI into a Simple Azure Pipeline

    5. Segment 11: Reading - Exploring Logging Architectures in Working with Azure OpenAI

    1. Segment 11: Optimizing Resources and Managing Costs for AI Workloads

    2. Segment 12: Finding Optimization Opportunities with Microsoft Copilot in Azure

    3. Segment 13: Implementing GenAI Optimization Opportunities for AI Workloads in Azure

    4. Segment 14: Measuring Impact Before and After AI Optimization

    5. Segment 15: Hands On Learning - Exploring Copilot Recommendations for Resource Optimization

    6. Segment 16: Ensuring Long-Term Success with GenAI

    7. Segment 17: Reading - Azure OpenAI Governance Recommendations

    8. Segment 18: “Congratulations and Continuous Learning Journey”

    9. Segment 19: Project - Azure GenAI Optimization Blueprint

    10. Segment 20: Quiz - GenAI for Azure AI-Powered Cloud Optimization Strategies

About this course

  • Free
  • 22 lessons
  • 1 hour of video content

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