Source: https://www.udemy.com/course/full-stack-ai-with-python/What you’ll learn
- Write Python programs from scratch, using Git for version control and Docker for deployment.
- Use Pydantic to handle structured data and validation in Python applications.
- Understand how Large Language Models (LLMs) work: tokenization, embeddings, attention, and transformers.
- Call and integrate APIs from OpenAI and Gemini with Python.
- Design effective prompts: zero-shot, one-shot, few-shot, chain-of-thought, persona-based, and structured prompting.
- Run and deploy models locally using Ollama, Hugging Face, and Docker.
- Implement Retrieval-Augmented Generation (RAG) pipelines with LangChain and vector databases.
- Use LangGraph to design stateful AI systems with nodes, edges, and checkpointing.
- Understand Model Context Protocol (MCP) and build MCP servers with Python.
Requirements
- No prior AI knowledge is required — we start from the basics.
- A computer (Windows, macOS, or Linux) with internet access.
- Basic programming knowledge is helpful but not mandatory (the course covers Python from scratch).
Download Links
Password: cms.ddpanda.org
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