Career Tracker

One-stop repo for GenAI — 90+ free courses, monthly research paper summaries, 10-week LLM mastery curriculum, interview Q&A banks, RAG & fine-tuning notebooks. MIT licensed.

Practical Chinese-first AI guide covering vibe coding, DeepSeek / GPT / Claude / Gemini, prompt engineering, Agents, RAG, MCP, and monetisation strategies for AI products.

Beginner-friendly 7-stage structured roadmap: Python → Math → ML Theory → Projects → Specialisations → MLOps → Research Papers. Curates Coursera, MIT, Stanford, and AWS content.

Web version of the ai-guide knowledge library — browsable AI learning paths, tool tutorials, Cursor/Claude Code guides, and a growing community knowledge base.

Interactive visual roadmap with an AI tutor that personalises your learning path. Covers foundations through production deployment. Also see: ai-data-scientist roadmap.

Google's free intensive: 11 notebooks across 5 days covering agents, MCP, memory systems, evaluation, and production deployment with Google ADK + Gemini.

Jeremy Howard's legendary top-down course. Best way to build real intuition for deep learning without getting buried in theory. Free, notebook-driven, production-focused.

Gold standard structured curriculum: ML Specialization, Deep Learning, MLOps, LLM Engineering. Industry-recognised certificates. Best starting point for structured learners.

Free NLP Course, Deep RL, Diffusion Models, Audio ML, and Agents courses — all notebook-based and tied directly to the open-source HF ecosystem.

Free micro-courses on Python, ML, Deep Learning, Feature Engineering, SQL, NLP, and AI. Each takes 4–6 hours with a certificate. Best quick up-skilling tool.

Official Google AI documentation, quickstarts for Gemini API and ADK, codelabs, and production guides. Essential if you're building on Google's AI stack.

Official Claude engineering patterns: tool use, multi-agent, RAG, context management, streaming. Practical notebooks for building production Claude applications.

ML papers + code implementations linked together. Track every SOTA benchmark, find implementations instantly. Best tool for turning research into practice.

Where all major AI research appears first — preprints, hours after writing. Follow cs.AI (Artificial Intelligence) and cs.LG (Machine Learning) daily.

Claude scaling laws, Constitutional AI, interpretability, and alignment research. Essential reading for anyone building serious Claude-based systems.

Gemini, Gemma, AlphaCode, and frontier research. Cutting-edge work on agents, reasoning, multimodal models, and scientific AI.

Largest open ML community online. Active #beginners, #NLP, #diffusion, and #agents channels. Maintainers answer questions. Best place to find collaborators.

1M+ members. Research paper discussions, AMAs from top researchers (Karpathy, LeCun, Bengio), industry news. High signal-to-noise ratio.

Community for running LLMs locally — quantisation, hardware benchmarks, model comparisons, Ollama setups. Very practical, fast-moving.

Deep technical interviews with AI researchers and engineers. Episodes cover RAG, evals, agents, LLM internals, and AI infrastructure. Discord has active community.

Industry-recognised cert covering ML on GCP, Vertex AI, MLOps, and feature engineering. Strong signal for employers using Google Cloud stack. Recommended after 1yr experience.

Covers ML pipeline design, feature engineering, model evaluation, and deployment on SageMaker. Valuable if your target employer is AWS-heavy.

Andrew Ng's specialisations in LLM Engineering, MLOps, and GenAI for Everyone. Affordable, widely recognised, and directly linked to job postings.

Community-recognised certificates in Transformers, Agents, and Audio ML. All free to earn. Strong open-source signal, especially for research-leaning roles.