AI Engineering
The best AI & ML engineers on the internet, and everything you need to become one
AI Engineers
- Arda Putra Ryandika-Lead of AI at Invenio Potential🇮🇩
- Aurelius Ivan Wijaya-Lead AI Scientist at Simple🇮🇩
- Andrej Karpathy-Ex-Director of AI at Tesla, Ex-Founding Member of OpenAI🇺🇸
- Andrew Ng-Co-Founder of Coursera, Founder of DeepLearning.AI🇺🇸
- Boris Cherny-Head of Claude Code at Anthropic🇺🇸
- Andrew Zhai-ML Engineer🇺🇸
Resources
Learn AI engineering from the best resources
- 12 Factor Agent-Principles for building robust AI agents
- AI Engineering-O'Reilly's comprehensive AI engineering guide
- AI Engineering Hub-Curated AI engineering resources and best practices
- AI Engineering Toolkit-Comprehensive toolkit for AI engineering
- Anthropic Course-Official Anthropic courses on building with Claude and AI engineering
- Associate AI Engineer for Data Scientists-DataCamp track covering AI engineering fundamentals for data scientists
- Attention Is All You Need-The seminal paper that introduced the Transformer architecture
- BERT: Pre-training of Deep Bidirectional Transformers-BERT paper on bidirectional transformer pre-training
- Building GPT from Scratch-Step-by-step guide to building GPT
- Building LLMs for Production-Practical guide to production LLMs
- Denoising Diffusion Probabilistic Models-Foundation paper for diffusion models
- Designing Machine Learning Systems-Comprehensive guide to ML system design
- Don't Build Agents, Build Skills Instead-Barry Zhang & Mahesh Murag from Anthropic on skill-based AI architecture
- Fine-Tune an Open Source LLM with Claude Code/Codex-Guide to fine-tuning LLMs using Claude
- Generative AI for Everyone-DeepLearning.AI course introducing generative AI concepts for all levels
- Generative AI with Large Language Models-Coursera course by DeepLearning.AI & AWS on generative AI and LLMs
- Hugging Face Agents Course-Learn to build AI agents that can reason and act using tools
- Hugging Face LLM Course-Comprehensive course on Large Language Models and NLP
- Kaggle Learn-Free micro-courses on Python, data science, ML, and AI
- LangChain Academy-Official courses on building LLM applications with LangChain
- LLM Engineer's Handbook-Guide to mastering Large Language Models from concept to deployment
- LLMs from Scratch-Interactive deep learning: building LLMs from scratch
- MLOps Zoomcamp-Free MLOps course by DataTalks.club covering the full ML lifecycle
- Neural Scaling Laws for Large Language Models-Research on scaling laws for LLMs
- Python Essentials for AI Agents-Python fundamentals for building AI agents
- Sebastian Raschka's Magazine-Latest developments and research trends in ML and AI
- System Prompts and Models of AI Tools-Collection of system prompts and AI tool models
- Towards Data Science-AI, ML & data-science insights
