Your comprehensive guide to learning artificial intelligence and accessing the world's most powerful language models
Choose your path and start your AI journey
2-3 months
Andrew Ng's AI for Everyone, Python for Everybody
4-6 months
Stanford ML Course, Deep Learning Specialization
6+ months
Attention Is All You Need, Hugging Face Course
Explore and access the world's most powerful language models
Curated resources for every skill level
University Courses
University-quality courses from top institutions
Specialized Platform
AI-focused education by Andrew Ng
Practical Learning
Micro-courses with hands-on practice
Practical Courses
Top-down practical approach to deep learning
Stanford University
Comprehensive introduction to machine learning and statistical pattern recognition
MIT OpenCourseWare
Introduction to representation, problem solving, and learning methods of AI
Stanford University
Visual recognition course covering deep learning for computer vision
Research Paper
The foundational paper that introduced the Transformer architecture
Book by Ian Goodfellow
Comprehensive textbook on deep learning methods and applications
Book by Christopher Bishop
Mathematical foundations of machine learning and pattern recognition
Get started with LLM APIs quickly and easily
from openai import OpenAI
client = OpenAI(api_key='your-key')
response = client.chat.completions.create(...)import anthropic
client = anthropic.Anthropic(api_key='your-key')
message = client.messages.create(...)import google.generativeai as genai
genai.configure(api_key='your-key')
model = genai.GenerativeModel('gemini-pro')