Build Your Own CoPilot Using Azure OpenAI and Semantic Kernel

Overview

Discover how to create custom AI CoPilots using Azure OpenAI and Semantic Kernel, from understanding model training fundamentals to implementing personalized solutions for internal applications.

Syllabus

• Introduction to AI CoPilots
Overview of AI CoPilots and their applications
Introduction to Azure OpenAI
Understanding Semantic Kernel
• Fundamentals of Model Training
Basic concepts of AI model training
Data preparation and preprocessing
Model selection and training techniques
• Introduction to Azure OpenAI
Setting up an Azure account
Overview of Azure AI services
Creating and managing resources in Azure
• Understanding Semantic Kernel
Concepts and structure of Semantic Kernel
Integrating Semantic Kernel with AI solutions
Use cases of Semantic Kernel in personalization
• Building Your First AI CoPilot
Setting up development environment
Accessing Azure OpenAI API
Implementing basic CoPilot functionalities
• Customizing AI CoPilots with Semantic Kernel
Adding semantic understanding to CoPilots
Enhancing AI interaction with customization
Personalization techniques using Semantic Kernel
• Advanced Implementation Techniques
Optimizing AI CoPilot performance
Scaling solutions for enterprise-level applications
Ensuring security and compliance in AI deployments
• Practical Applications and Use Cases
Case studies of AI CoPilots in industry
Interactive workshop: Building a CoPilot for a real-world scenario
• Troubleshooting and Support
Common issues and their solutions
Accessing support and resources
Maintaining and updating AI CoPilots
• Conclusion and Next Steps
Recap of key principles and techniques
Future trends in AI CoPilot development
Resources for further learning and development

Subjects

Programming