AI Agents for Beginners vs Semantic Kernel
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A free course of 18 lessons teaching beginners how to build AI agents, with Python code samples.
Open source · MIT
Open-source SDK for building AI agents and multi-agent apps in Python, .NET and Java.
The short answer
Choose AI Agents for Beginners if you need…
- Developers new to AI agents who want guided lessons with code
- Students learning how agentic AI systems are structured
- People who already know basic generative AI and want to move to agents
- Readers who prefer working through example code in Jupyter-style notebooks
Choose Semantic Kernel if you need…
- Developers already using Azure OpenAI or OpenAI who want a structured SDK for agents
- Teams working in .NET, Python or Java who want one framework across languages
- Projects that need plugins built from native code, prompt templates, OpenAPI specs or MCP
- Existing Semantic Kernel users maintaining or migrating older code
Side-by-side
| AI Agents for Beginners | Semantic Kernel | |
|---|---|---|
| Type | Learning resource | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 78.7k | 28.7k |
| Setup difficulty | Beginner | Intermediate |
| How you get it | Clone and build from source | Install with a package manager |
| Main language | Jupyter Notebook | C# |
| Last code update | 4 days ago | 4 days ago |
What each one is
AI Agents for Beginners
This is a course, not a software product, that teaches the basics of building AI agents. Each lesson has a written guide, a short video, and Python code samples built on Microsoft Agent Framework and Microsoft Foundry Agent Service. You can start with any lesson, since each covers its own topic.
Semantic Kernel
Semantic Kernel is a model-agnostic SDK from Microsoft that lets developers connect large language models (such as OpenAI or Azure OpenAI models) to their own apps, add tools and plugins, and orchestrate one or more AI agents. The README says it is now succeeded by Microsoft Agent Framework, so new projects should check that project first.
Best for
AI Agents for Beginners
- Developers new to AI agents who want guided lessons with code
- Students learning how agentic AI systems are structured
- People who already know basic generative AI and want to move to agents
- Readers who prefer working through example code in Jupyter-style notebooks
Semantic Kernel
- Developers already using Azure OpenAI or OpenAI who want a structured SDK for agents
- Teams working in .NET, Python or Java who want one framework across languages
- Projects that need plugins built from native code, prompt templates, OpenAPI specs or MCP
- Existing Semantic Kernel users maintaining or migrating older code
Strengths
AI Agents for Beginners
- Free, MIT-licensed, and organised as 18 lessons with text, video, and code
- Lessons can be read in any order, so you can jump to the topic you need
- Includes translations into many languages, according to the README
Semantic Kernel
- Supports several models and providers, including OpenAI, Azure OpenAI, Hugging Face and NVidia, per the README
- Offers examples in Python and C# with matching quickstarts
- Permissive MIT license and a large public project with about 28,700 stars
Not ideal for
AI Agents for Beginners
- People who want a ready-made agent product to use without coding, since this teaches building agents
- Those without an Azure account, because the README says the main path requires Microsoft Foundry (Azure Account Required)
- Readers looking for a framework-neutral comparison, since the examples centre on Microsoft tools
Semantic Kernel
- Non-programmers: it is a developer SDK and needs code to use, so no-code users should look elsewhere
- Teams starting fresh who want the newest path: the README directs users to Microsoft Agent Framework as the successor
- Simple scripts that only need one direct API call, where an SDK adds more structure than needed
Trade-offs
AI Agents for Beginners
- The examples depend on Microsoft Foundry and an Azure account, which may cost money
- The README does not describe a fixed schedule or prerequisites beyond the setup course, so the time commitment is unclear
- Some lessons may depend on specific Microsoft framework versions that change over time
Semantic Kernel
- The README states the project is succeeded by Microsoft Agent Framework, so long-term direction may point elsewhere
- Quickstarts assume Azure or OpenAI credentials and a configured environment, so setup needs some engineering work
- Java support is pointed to a separate build guide rather than documented here
Getting started
AI Agents for Beginners
Clone the repository with sparse checkout (skips translations, faster download)
git clone --filter=blob:none --sparse https://github.com/microsoft/ai-agents-for-beginners.gitEnter the project folder and set sparse checkout (Bash / macOS / Linux)
cd ai-agents-for-beginners && git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'Semantic Kernel
Set Azure OpenAI API key
export AZURE_OPENAI_API_KEY=AAA....Set OpenAI API key (alternative)
export OPENAI_API_KEY=sk-...Frequently asked questions
What is the difference between AI Agents for Beginners and Semantic Kernel?
AI Agents for Beginners: A free course of 18 lessons teaching beginners how to build AI agents, with Python code samples. Semantic Kernel: Open-source SDK for building AI agents and multi-agent apps in Python, .NET and Java. AI Agents for Beginners suits developers new to ai agents who want guided lessons with code, while Semantic Kernel suits developers already using azure openai or openai who want a structured sdk for agents.
Are AI Agents for Beginners and Semantic Kernel free?
AI Agents for Beginners: Free and open source. Semantic Kernel: Free and open source.
Which is easier to set up, AI Agents for Beginners or Semantic Kernel?
AI Agents for Beginners is easier to get started with (rated beginner); Semantic Kernel is rated intermediate and usually needs more setup.
Is AI Agents for Beginners or Semantic Kernel more popular?
AI Agents for Beginners has more GitHub stars (78.7k) than Semantic Kernel (28.7k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to AI Agents for Beginners and Semantic Kernel?
Other options people compare them with include Generative AI for Beginners, LangChain, LlamaIndex, Microsoft Agent Framework, OpenAI Agents SDK.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.