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Starts 6 July 2025 14:37

Ends 6 July 2025

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Semantic Kernel - AI Orchestration for Intelligent Apps

Explore the transformative world of AI orchestration with Semantic Kernel. This engaging content helps you delve into the creation of smarter applications by leveraging Semantic Kernel's robust framework. Enhance your understanding of AI in app development and equip yourself with the knowledge to build advanced, intelligent applications. Whet.
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Overview

Explore the transformative world of AI orchestration with Semantic Kernel. This engaging content helps you delve into the creation of smarter applications by leveraging Semantic Kernel's robust framework.

Enhance your understanding of AI in app development and equip yourself with the knowledge to build advanced, intelligent applications. Whether you're interested in artificial intelligence courses or seeking insights from conference talks, this event offers valuable information for developers and tech enthusiasts alike.

Hosted on YouTube, you can conveniently access this learning opportunity to elevate your AI skills.

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

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