AI_Agent_Workshop and ai-agents-the-definitive-guide

These are complements: the workshop provides hands-on implementation guidance while the definitive guide offers comprehensive conceptual foundations, making them useful together for learning AI agents from theory to practice.

Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 24/25
Maintenance 10/25
Adoption 10/25
Maturity 7/25
Community 19/25
Stars: 19
Forks: 120
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 127
Forks: 23
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License No Package No Dependents

About AI_Agent_Workshop

marscod/AI_Agent_Workshop

This repository provides a basic guide on building and deploying an AI agent.

This workshop guides developers through the process of building and deploying an AI agent. It provides a structured approach, starting with environment setup and moving to the core development and deployment of an agent. Developers will input API keys and run scripts, resulting in a functional, deployable AI agent.

AI-development agent-deployment LLM-integration developer-tooling API-integration

About ai-agents-the-definitive-guide

Nicolepcx/ai-agents-the-definitive-guide

Repo for AI Agents The Definitive Guide

This project provides practical code examples for building AI agents, helping you understand how Large Language Models (LLMs) can be combined with other tools to automate complex tasks. You'll work with real code to go from basic agent concepts to advanced architectures and deployment strategies. This is for AI developers, researchers, and engineers who want to build and deploy intelligent agent systems.

AI-development LLM-engineering agent-systems machine-learning-engineering AI-deployment

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