This course is designed for developers who want to become AI builders, not just prompt writers. You’ll learn how to develop, configure, and deploy real-world AI systems using Python, JupyterLab, and modern SDKs like Ollama, OpenAI, Gemini, LangChain, and LangGraph. Throughout all practical videos, you’ll gain hands-on experience creating, debugging, and connecting multiple AI frameworks.
From installing Ollama locally to integrating Gemini’s APIs, from building dynamic LangChain graphs to developing your own AI Agent, everything is covered step-by-step with live coding in Python.
By the end of this course, you will be able to:
- Set up and run local LLMs using Ollama
- Connect and interact with ChatGPT (OpenAI) and Gemini (Google) APIs
- Create intelligent workflows with LangChain and LangGraph
- Design conditional logic, multi-node agents, and autonomous AI systems
- Use Python and JupyterLab for clean, efficient, and modular AI development
- 100% practical approach — less theory, more coding
- Includes real projects with LangChain and LangGraph
- Step-by-step configuration guides for SDKs and APIs
Whether you’re an experienced Python developer or a beginner looking to transition into AI, this course gives you everything you need to start building production-ready AI systems today.
- Python developers eager to build real-world AI workflows and intelligent agents
- Educators and content creators looking to teach or demo LLMs using reproducible, modular code
- AI enthusiasts and students curious about LangChain, Gemini, OpenAI, and LangGraph
- Tech professionals seeking to automate tasks, integrate APIs, and explore frontier models hands-on
