Learn Generative AI, LLM, Agent, Workflow.
Web Site is https://wrijugh.github.io/agentic-ai/
The GitHub repo is https://github.com/wrijugh/agentic-ai.
Agentic AI Series YouTube videos, please subscribe.
37 videos and counting… Please let me know what you want next.
Play with Foundry > Build Simple LLM app > Build Agent and Workflow
| Title | YouTube Video |
|---|---|
| Overview via Whiteboard | Watch the video |
| Select, Deploy and Test your Large Language Model | Watch the video |
| Image Generation | Watch the video |
| Agent Service (no-code) | Watch the video |
| Calling Agent from Application | Watch the video |
| Multimodal | Watch the video |
| Model Leader Board, Benchmark, Comparison, Cost | Watch the video |
| Content-Understanding | Watch the video |
| Model Fine-tuning | Watch the video |
| Agent with MCP | Watch the video |
| Agent with PII Guardrail | Watch the video |
| Foundry Build an Agent (no code) | Watch the video |
| Title | YouTube Video | Code |
|---|---|---|
| Simple Agent | https://youtu.be/kJP8vhXcszM | 01-agent-simple.py |
| Agent and Tools | https://youtu.be/NqE4ODHLOp8 | 02-agent-tool.py |
| Session Management | https://youtu.be/fVcDr3AKiLg | 03-agent-session.py |
| Memory and Context | https://youtu.be/ie07WykknI8 | 04-agent-memories.py |
| Agent | ComingSoon | [SampleCode] |
| Title | YouTube Video | Code |
|---|---|---|
| Simple Workflow | https://youtu.be/DykZUwOwvEk | 10-workflow-simple.py |
| Parallel Workflow (Fan Out/In) | https://youtu.be/Z_KpZ1MiFSc | 11-workflow-agent.py |
| Workflow | ComingSoon | [SampleCode] |
Using GitHub Models and OpenAI SDK
| Title | YouTube Video |
|---|---|
| GitHub Free AI Models for Learning and Development | Watch the video |
| Setting Dev Environment | Watch the video |
| LLM Simple Chat Application | Watch the video |
| Embedding | Watch the video |
| Simple RAG with CSV | Watch the video |
| RAG with Chroma CSV using Langchain | Watch the video |
Build and host a container based LLM application series.
| Title | YouTube Video |
|---|---|
| Setting up the Development Environment | https://youtu.be/9bbNbukPT2Y |
| Creating Azure Resources | https://youtu.be/6Xs-KfHX6t8 |
| Environment variables and Jupyter notebook | https://youtu.be/jyemcT4EX5g |
| Orchestration using LangChain and Prompt Template | https://youtu.be/XzVFfw_YLy8 |
| Quick website using streamlit | https://youtu.be/a3oLuQL_nT0 |
| Build and test the streamlit Webapp | https://youtu.be/mW95mzbPJRc |
| Containerize the streamlit Webapp | https://youtu.be/2_yGZU5BPso |
| Host the Containerized app to Azure | https://youtu.be/RNLDGHrniPU |
| Making changes to the App | https://youtu.be/FRK_PZFKTpU |
| Title | YouTube Video |
|---|---|
| Python Programming Basics #AIAppDev | https://youtu.be/IODt0XBzasg |
| Vector Embedding Explained (Maths) | https://youtu.be/39_Cytthp1w |
| Retrieval Augmented Generation (RAG) - Whiteboard | https://youtu.be/ca6zNpdVK28 |
| Build AI Application using DeepSeek-R1 | https://youtu.be/nrWCj_-iq-8 |
| ComingSoon |
The whole intent of this series to tell you all that it is easy to build an Agentic AI application. There are many ways to achieve this via different LLM models and SDKs. We need to select which works the best for us.
Here I am going to use: