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Mastering Semantic Kernel by Creating Projects
Score 4,5 van de 5(74 scores)
1.737 studenten
Gemaakt doorHéctor Uriel Pérez
Laatst bijgewerkt: 7-2025
Engels

Wat je leert

  • Fundamentals of Semantic Kernel
  • Kernel Creation
  • Generating Images, Text, Audio, and Transcriptions Using AI
  • Using Chat Histories
  • Using and Creating Native Plugins
  • Prompting Techniques
  • Using Vector Stores
  • Textual Search

Cursusinhoud

10 secties • 75 colleges • Totale lengte van 8u 28m

  • What is Semantic Kernel?5:21
  • Semantic Kernel Components1:15
  • Benefits and Use Cases2:51
  • Setting Up a VS 2022 Project with Semantic Kernel4:35

Vereisten

  • Basic programming knowledge (ideally in C# or .NET)
  • Willingness to learn and experiment with Semantic Kernel and AI plugins
  • OpenAI account or access to Azure OpenAI services

Beschrijving

Do you want to integrate artificial intelligence into your applications efficiently and effectively? This course is your gateway to the world of Semantic Kernel, a powerful Microsoft tool that enables you to enhance your developments with language models (LLMs) like OpenAI and Azure OpenAI.

What will you learn in this course?

  • VectorStores and Semantic Search: Learn how to use embeddings to store and retrieve information efficiently, reducing token consumption and optimizing queries.

  • Integration with OpenAI and Azure OpenAI Models: Generate embeddings, process text, and perform vector searches using technologies like TextEmbeddingADA002.

  • Retrieval-Augmented Generation (RAG): Improve AI model accuracy by combining web searches and vector databases with Semantic Kernel.

  • Process Automation with Plugins: Implement custom plugins in C# to connect external APIs and perform specialized tasks.

  • Application Development with Semantic Kernel: Build everything from interactive chatbots to automated content generators for WordPress and podcasts.

  • Integration with FFmpeg: Extract audio from videos, transcribe content with Whisper, and generate clips for social media automatically.

  • Advanced Prompt Engineering and Templates: Learn how to structure effective prompts using YAML, Handlebars, and Liquid to optimize AI interactions.

Who is this course for?

  • Developers looking to implement AI in their applications using .NET and C#

  • Data scientists and NLP specialists who want to enhance their models with vector searches

  • Content creators and automation enthusiasts interested in generating text, audio, and images with AI

  • Professionals seeking to master advanced Semantic Kernel techniques and its integration with OpenAI and Azure

Why take this course?

100% hands-on: Real-world projects from installation to final implementation
Cutting-edge technology: Learn to leverage Semantic Kernel, a key SDK for developing AI copilots and intelligent assistants
Practical use cases: From intelligent chatbots to automated WordPress posts and AI-generated podcasts
Support and community: Access an active community and updated materials featuring the latest AI tools

If you want to take AI to the next level and integrate it into real-world projects, this course is for you.

Enroll now and become an expert in Semantic Kernel and applied AI!

Voor wie is deze cursus bedoeld:

  • Students and professionals who want to expand their toolkit for building intelligent applications with natural language processing.
  • Entrepreneurs and AI solution creators interested in leveraging AI service capabilities.
  • Developers who want to integrate AI into their applications.
  • Anyone interested in building applications with advanced AI capabilities.

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