Semantic Kernel - AI Orchestration for Intelligent Apps

Overview

Explore AI orchestration for intelligent apps using Semantic Kernel. Learn to build smarter applications with this powerful framework.

Syllabus

• Introduction to Semantic Kernel
Overview of AI Orchestration
Benefits of Semantic Kernel for Intelligent Applications
• Understanding the Semantic Kernel Framework
Core Concepts and Architecture
Key Components and Their Roles
• Setting Up the Development Environment
Installation and Configuration
Tools and Resources
• Designing Intelligent Applications with Semantic Kernel
Identifying Use Cases for AI Orchestration
Planning Your Application Architecture
• Data Processing and Semantics
Handling Data Inputs and Outputs
Semantic Analysis and Transformation
• Integration with AI Models
Selecting Appropriate AI Models
Encoding and Decoding Data for AI Models
• Building an Intelligent App with Semantic Kernel
Step-by-Step Application Development
Incorporating AI Features and Functionalities
• Testing and Debugging Semantic Kernel Applications
Techniques for Effective Testing
Identifying and Resolving Common Issues
• Optimizing Performance and Scalability
Performance Tuning Strategies
Scaling to Handle Increased Load
• Real-world Applications and Case Studies
Examples of Successful Intelligent Apps
Lessons Learned and Best Practices
• Future Trends in AI Orchestration
Innovations in Semantic Kernels
Anticipating Future Needs and Challenges
• Conclusion
Recap of Key Takeaways
Continuing Learning and Development Paths

Subjects

Conference Talks