What You Need to Know Before
You Start

Starts 3 July 2025 13:32

Ends 3 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

Azure AI Studio - Complete Guide to Azure AI Studio Copilot

Azure AI Studio Masterclass | Build Gen AI apps and copilots | Automate tasks with Gen AI | RAG | Prompt Flow Copilot
via Udemy

4123 Courses


6 hours 58 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

You've likely heard about ChatGPT and Microsoft 365 Copilot. But did you know that you can create your own sophisticated AI solutions through Azure AI Studio?

With Azure AI Studio, you can build your own AI-powered applications, copilots, workflows, and more. These apps can be trained on your knowledge base and perform complex tasks on your behalf.

Syllabus

  • Introduction to Azure AI Studio
  • Overview of Azure AI Studio and its capabilities
    Key concepts and terminology
  • Setting Up Your Azure AI Studio Environment
  • Creating an Azure account and accessing Azure AI Studio
    Navigating the Azure AI Studio interface
  • Building AI-powered Applications
  • Understanding the different types of AI applications
    Designing your first AI application
    Configuring data inputs and outputs
  • Developing AI Copilots
  • Introduction to copilots and their use cases
    Steps to create and configure your own copilot
    Integrating copilots with existing applications
  • Training Models with Custom Data
  • Preparing and structuring your knowledge base
    Training AI models with your data
    Evaluating and refining model performance
  • Automating Workflows with AI
  • Understanding AI-driven workflows
    Designing and deploying workflows within Azure AI Studio
    Monitoring and optimizing workflow efficiency
  • Advanced Features and Customization
  • Utilizing advanced AI algorithms and tools
    Customizing AI solutions for specific tasks
    Managing scalability and performance in AI applications
  • Best Practices for Azure AI Studio
  • Ensuring data security and privacy
    Troubleshooting common issues
    Keeping up with updates and new features
  • Case Studies and Real-World Applications
  • Review of successful AI implementations
    Sector-specific applications and innovations
  • Capstone Project
  • Developing and deploying a comprehensive AI solution
    Presentation and feedback
  • Resources and Further Learning
  • Access to additional Azure AI resources
    Recommendations for further study and enhancement

Taught by

Henry Habib and The Intelligent Worker


Subjects

Programming