AI Pair Programming For Azure AI Cloud Data Science and Data Engineering

classroom

AI & ML interests

AI Pair Programming For Azure AI Cloud Data Science and Data Engineering, Code Interpreters, Code Generation with AI, AI Architecture and Development

AI Pair Programming for Azure Development 🤖👨‍💻

I. Introduction to Azure AI Development 🌟

Overview of Azure Cloud for AI and Data Science Benefits of AI Pair Programming

II. Azure Development Environment Setup 🛠️

Visual Studio Ecosystem

  1. Visual Studio 2022 🖥️
  2. Visual Studio Code 📝
  3. Essential VS Code Extensions for Azure Development 🧩

Azure Resources Management 🏗️

  1. Azure Resource Groups
  2. Azure Portal Navigation
  3. Azure CLI Basics

III. Core Azure Services for AI and Data Projects 🧠

  1. Compute and Execution
  2. Azure Function Apps ⚡
  3. Container Apps Session Pool 🐳
  4. Data Storage and Management
  5. Azure Storage Accounts 💾
  6. Azure Container Registries 📦

IV. Development Tools and Practices 🔧

  1. Package Management
  2. NPM (Node Package Manager) 📦
  3. Version Control and AI Assistance
  4. GitHub Integration
  5. GitHub Copilot Chat for Code Generation 🤖💬

V. Security and Identity Management 🔐

  1. Azure Entra (formerly Azure AD)
  2. Tenants
  3. Roles
  4. Groups
  5. Resource Access Control
  6. Advanced Security Features
  7. Privileged Identity Management (PIM) 🛡️

VI. AI-Assisted Development Workflows 🧠💻

  1. Leveraging AI for Code Generation
  2. Best practices for prompt engineering
  3. Integrating AI suggestions into your workflow
  4. AI-powered debugging and optimization
  5. Using AI to identify and fix code issues
  6. Performance tuning with AI assistance

VII. Conclusion and Future Trends 🚀

  1. The evolving landscape of AI in software development
  2. Preparing for future Azure AI capabilities

Glossary 📚

  1. Azure Resources: Cloud-based services and tools provided by Microsoft Azure for building, deploying, and managing applications.
  2. Function Apps: Serverless compute service that enables you to run code without managing infrastructure.
  3. Storage Accounts: Azure service for storing data objects, including blobs, files, queues, and tables.
  4. Azure Container Registries: Managed Docker registry service for storing and managing container images.
  5. NPM: Node Package Manager, the package manager for JavaScript and Node.js.
  6. Entra Tenant/Roles/Groups/Resources: Azure's identity and access management system for controlling access to resources.
  7. VS Code Extensions: Add-ons that extend the functionality of Visual Studio Code.
  8. Privileged Identity Management (PIM): Azure service for managing, controlling, and monitoring access to important resources.
  9. GitHub Copilot Chat: AI-powered coding assistant that provides suggestions and answers questions in real-time.
  10. Container Apps Session Pool: Feature in Azure Container Apps for managing user sessions in containerized applications.

Learning Resources 🔗

  1. Microsoft Learn: https://learn.microsoft.com/en-us/azure/
  2. Azure Documentation: https://docs.microsoft.com/en-us/azure/
  3. GitHub Copilot Documentation: https://docs.github.com/en/copilot
  4. Azure for AI and Machine Learning: https://azure.microsoft.com/en-us/solutions/ai/
  5. Visual Studio Code Documentation: https://code.visualstudio.com/docs

Keywords for AI Code Generation 🔑

  1. Azure Resources: resource_group, deployment, template, subscription
  2. Function Apps: serverless, trigger, binding, http_request
  3. Storage Accounts: blob, table, queue, file_share
  4. Azure Container Registries: docker, image, tag, push
  5. NPM: package.json, dependency, script, version
  6. Entra: tenant, role_assignment, group_membership, scope
  7. VS Code Extensions: extension_id, marketplace, settings.json, keybindings
  8. PIM: eligible_role, activation, justification, audit
  9. GitHub Copilot: suggestion, completion, comment, inline
  10. Container Apps: revision, scale, ingress, environment

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