Top 6 Udemy Courses to Learn Semantic Kernel and Build LLM Apps with .NET in 2026
Top 6 Udemy Courses to Learn Semantic Kernel and Build LLM Apps with .NET in 2026
My favorite Udemy courses to learn Semantic Kernel for building LLM Apps with .NET

Hello guys, Semantic Kernel has quickly become one of the most important frameworks for developers building AI powered and agentic applications with .NET.
As companies adopt LLMs, vector search, RAG, and tool-driven agents, developers who understand Semantic Kernel gain a strong advantage in both architecture and implementation.
If you want to learn Semantic Kernel from scratch or take your AI engineering skills to the next level, Udemy now offers several practical, project-driven courses that focus on real-world agentic workflows, Azure AI Foundry, OpenAI integrations, vector databases, and modern .NET based AI development.
The best part is that Udemy frequently runs major sales, meaning you can often get these courses for around USD 10, making it one of the most affordable ways to skill up in 2026.
Below are the top 6 Udemy Semantic Kernel courses worth considering.
6 Best Udemy Courses to learn Semantic Kernel in 2026
Without any further ado, here are the top Udemy courses you can join in 2026 to learn Semantic Kernel and build LLM Apps and Agentic AI apps using .NET. I have include project based, video and hands-on courses for both beginners and experienced developers.
1. Develop Agentic .NET Applications Using Semantic Kernel
Master AI-Powered App Development with Custom Tool Calls, RAG, MCP Integration and Single-Agent Orchestration
This course is ideal for developers who already understand .NET and want to build practical, production-focused agentic systems.
You learn how to:
- Build AI powered agents using Semantic Kernel
- Implement tool calling and plugin workflows
- Integrate RAG and retrieval patterns
- Work with Model Context Protocol (MCP)
- Structure a full agent orchestration pipeline in .NET
It is one of the most up-to-date Semantic Kernel courses on Udemy and focuses on building applications capable of interacting, reasoning and executing tasks autonomously.
Here is the link to join this course — Develop Agentic .NET Applications Using Semantic Kernel

2. GenAI for .NET: Build LLM Apps with OpenAI and Ollama
Build Chat Apps, Vector Search, VectorDB, RAG and EShop AI Apps
While not exclusively about Semantic Kernel, this course is extremely relevant because:
- It teaches modern .NET AI development patterns
- You build RAG pipelines, vector search, and Ollama powered apps
- It integrates Microsoft Extensions AI (MEAI)
- You learn patterns that complement SK apps
If your goal is to build full-stack AI solutions with .NET, this course is a strong addition.
Here is the link to join this course — GenAI for .NET: Build LLM Apps with OpenAI and Ollama

3. Understanding Semantic Kernel SDK
Empowering Business Applications with AI-Driven Plugins Using the Semantic Kernel SDK
This course is great if you need clarity around the Semantic Kernel SDK itself.
It covers:
- SK architecture and design
- How the kernel, plugins, memories and planners work
- Using the SDK to extend business applications
- Integrating the SDK into existing .NET systems
If you want to build maintainable enterprise-grade solutions, this course gives you the theoretical grounding and API knowledge you need.
Here is the link to join this course — Understanding Semantic Kernel SDK

4. Mastering Semantic Kernel by Creating Projects
Learn to harness the potential of Semantic Kernel using OpenAI and Azure OpenAI
A project-based course that walks you through:
- Creating multiple SK-driven applications
- Using embeddings, prompts, and memory stores
- Building production-like AI workflows
- Integrating Azure OpenAI with .NET
You get hands-on experience building real apps, making this a strong course for developers who prefer learning by doing.
Here is the link to join this Udemy course — Mastering Semantic Kernel by Creating Projects

5. AI Agents: Beginner to Pro — Azure AI Foundry Agent Service
Agent Service, Function Calling, Code Interpreter, Bing Search, AI Search, OpenAPI, Logic Apps, Semantic Kernel
This is a broader AI agent course, but it includes a dedicated section on Semantic Kernel and how it fits into Azure’s AI ecosystem.
You will learn:
- Azure AI Foundry’s Agent Service
- Multi-tool and multi-modal agent design
- Using Bing Search, AI Search and external tools
- Integrating Semantic Kernel with Azure Functions and Logic Apps
This is a good course for developers focused on Azure-powered AI solutions.
Here is the link to join this course — AI Agents: Beginner to Pro — Azure AI Foundry Agent Service

5. Agentic AI Development with Azure and Semantic Kernel
Build AI agents using Azure, Semantic Kernel and Foundry
This course dives deeper into:
- Multi-agent orchestration
- Tool selection and prioritization
- Memory, vectors and embeddings
- Planning, role-based agents and autonomous flows
It is helpful if you want to understand how Semantic Kernel is used in more advanced autonomous systems.
Here is the link to join this Udemy course — Agentic AI Development with Azure and Semantic Kernel

Why Learn Semantic Kernel in 2026?
Semantic Kernel is quickly becoming a standard tool for developers who want to:
- Build reliable agentic workflows
- Integrate LLMs into .NET apps
- Add vector memory, tool calling and plugins
- Implement OpenAI, Azure OpenAI or Ollama-based features
- Modernize enterprise software with AI assistance
Its abstractions reduce complexity while giving developers control over orchestration, prompting, memory and planning.
Mastering SK now places you ahead of the curve as AI adoption accelerates.
Udemy’s Year-Round Sales: Get These Courses for About USD 10
One of the best thing about Udmey is that they run multiple seasonal sales through the year, including:
- Year End Sale
- New Year sale
- Mid-year sale
- Back-to-school sale
- Black Friday and Cyber Monday discounts
During these events, most premium courses drop to around USD 10, making it one of the most cost-effective ways to learn Semantic Kernel.
If you plan to take multiple courses, the sale period is the best time to enroll.
Here is the link to get discount — Udemy courses with 50% discount

Final Thoughts
Semantic Kernel is shaping the future of .NET based AI applications, from agentic systems to enterprise integrations. The courses listed above offer a combination of:
- Hands-on projects
- Real-world use cases
- Production ready design patterns
- Azure and OpenAI integration strategies
If you want to build LLM and agentic applications professionally in 2026, mastering Semantic Kernel is one of the highest-impact skills you can add to your toolkit.
By the way, if you want to join multiple courses on Udemy then you can also checkout Udemy’s Personal Plan, where you get access to best of Udemy’s 15000+ courses for a monthly fee of $30.
If you want to join multiple courses then Udemy Personal Plan is actually a better deal. You can also try for free for 7 days to get a feel of it.

So, what are you waiting for? Pick a course, start learning, and join the AI revolution!
Happy Learning!
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Thanks for reading this article so far. If you find these Udemy Courses for learning Semantic Kernel and building LLM Apps with .NET useful then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — If you are a complete beginner on Agentic AI then I also recommend you to first go through a comprehensive course like The Complete Agentic AI Engineering (2025) Course, I highly recommend that to anyone who want to start with Agentic AI.
6 Best Udemy Courses to Learn Agentic AI in 2025
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