Overview
Azure AI Studio Masterclass | Build Gen AI apps and copilots | Automate tasks with Gen AI | RAG | Prompt Flow Copilot
Syllabus
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- 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
Tags
On-Demand
