Master New Skills for Your Future: Python, Generative AI, LangChain, LangGraph, RAG, Prompt Engineering, OpenAI + Gemini
InstructorAndrei Dumitrescu
Free
FreeThe curriculum covers advanced agentic frameworks including LangChain, LangGraph, and the Model Context Protocol (MCP) alongside RAG implementations.
Instruction includes helpful practical details such as keyboard shortcuts for navigating Google Colab and PyCharm environments.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
A JupyterLab notebook interface displaying a lesson preview for a master project involving LangGraph, GPT-4o, and ArXiv data extraction.
A JupyterLab notebook interface displaying Python code for a LangChain reflection task, including package installation and library imports.
A dark-themed code editor window displaying Python source code that defines and demonstrates built-in data types such as numbers, booleans, and lists.
The learning path consists of many small, focused examples rather than a single, evolving practical project that connects all concepts. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
One signal suggests the instructor's accent may require the use of closed captions for easier comprehension. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The curriculum aligns with the target audience's need for Python and AI skills, though one signal from before the displayed update noted a lack of macOS-specific setup guidance; the update label does not prove this was corrected.