Jupyeter Notebooks that demo Generative AI concepts

Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI

A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.

Exploring the SDK with documentation. Archive of follow-along notebooks, with additional trials.

This repository contains the Jupyter Notebook (TreasureHuntGame.ipynb) for the Pirate Intelligent Agent project. The notebook demonstrates how I applied reinforcement learning and neural networks to solve a pathfinding problem, training a pirate NPC to find treasure before a human player can.

This repository contains a collection of Python notebooks and experiments demonstrating how to build simple yet robust agentic architectures using CrewAI

Comprehensive collection of Jupyter notebooks, code scripts & documentation for learning LangChain, LangGraph, and AI application development. Companion resources for Aparsoft YouTube tutorials.

This repo is my LangChain learning journey, exploring prompts, structured outputs, retrievers, tools, and agents. It demonstrates building LLM-powered apps with practical notebooks and real-world workflows.

A hands-on AutoGen Frameworks suite featuring practical notebooks and agent projects: explore single/multi-agent chat, async workflows, human-in-the-loop, data analysis (Analyzer GPT), DSA solving, travel planning, and advanced agent orchestration all in one place.

Hands-on projects from Andrew Ng's Agentic AI course (DeepLearning.AI). Built from scratch using reflection, tool use, planning, and multi-agent collaboration patterns. Includes the full Research Agent web app (FastAPI + Tavily + Docker), Jupyter notebooks, and mini-projects. Perfect for learning AI agent workflows.

A Python notebook showcasing various usecases of Langchain with LLMs such as OpenAI.

A collection of notebooks exploring Agentic Workflows and how they interact with Large Language Models

A personal collection of papers, podcasts, books, and messy notebooks on AI. Not a newsletter, not a course, not a sales funnel.

This repository contains practical Jupyter notebook examples showcasing how to build and use AI agents for tasks like research automation, customer support, outreach campaigns, and data analysis with LLM function calling. Perfect for learning or prototyping AI agent workflows.

The GitHub repository OpenAI-Agents-SDK by Rishi-Kora offers a foundational toolkit for building and experimenting with OpenAI-powered agents. Centered around a Jupyter Notebook named OpenAI_Agents_SDK.ipynb, the project demonstrates how to integrate OpenAI's language models into agent workflows.

Jupyter notebooks for the short course "Building Agentic RAG with Llamaindex"

Notebooks of the Agentic Auditing Tutorial of 63rd World Continuous Auditing and Reporting Symposium (WCARS).

These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

Marimo versions of HuggingFace's Agents course notebooks.

Notebooks for the Built Multi-Agent Applications with AutoGen Course