AI General Links

Claude Platform Docs platform.claude.com/docs

Anthropic's official documentation for the Claude API, models, and SDKs.

OpenAI API Documentation developers.openai.com/api/docs/concepts

OpenAI's official API reference and developer guides.

Gemini API Documentation ai.google.dev/gemini-api/docs

Google's official docs for building with the Gemini API and related AI Studio tools.

Hugging Face Documentation huggingface.co/docs

Official docs for the Hugging Face Hub, Transformers, and the wider open-model ecosystem.

Ollama ollama.com/download

Free, open-source tool to download and run open LLMs locally on your own machine — no cloud required.

LM Studio lmstudio.ai/download

Free desktop app for discovering, downloading, and chatting with local LLMs through a GUI.

Elements of AI elementsofai.com

Free, self-paced introduction to AI from the University of Helsinki and MinnaLearn — six modules, no coding or math background required.

Practical Deep Learning for Coders course.fast.ai

Free, hands-on deep learning course for people who already know some code, taught by Jeremy Howard and the fast.ai team.

Generative AI (Harvard Kennedy School) generative-ai-course.hks.harvard.edu/spring-2024

Openly licensed (CC BY 4.0) video course covering how generative AI works, how to use it, and its societal implications.

Hands On AI Building Agents with the Google Agent Development Toolkit ADK linkedin.com/learning/hands-on-ai-building-agents-with-the-google-agent-development-toolkit-adk

Building a first text-based agent with Google's Agent Development Kit (ADK).

GPT Foundations Building AI Powered Apps linkedin.com/learning/gpt-foundations-building-ai-powered-apps

Foundational course on large language models and building GPT-powered applications.

Claude Code 101: From Prompt to Product linkedin.com/learning/claude-code-101-from-prompt-to-product

Getting started building real things with the Claude Code CLI.

Introduction to Artificial Intelligence linkedin.com/learning/introduction-to-artificial-intelligence

An overview of predictive vs. generative AI, machine learning algorithms, and foundation models, aimed at non-specialists.

Artificial Intelligence Foundations: Thinking Machines linkedin.com/learning/artificial-intelligence-foundations-thinking-machines

Key AI concepts including "strong" vs. "weak" AI, machine learning, and deep learning.

Learning Path: Getting Started with AI and Machine Learning linkedin.com/learning/paths/getting-started-with-ai-and-machine-learning

A multi-course learning path for building foundational AI/ML knowledge from the ground up.

📖 Documentation