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How to keep learning: what’s next

Time: 11:40 AM to 12:15 PM
This week gave you a foundation. Here is how to keep building on it.

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Free courses

  • fast.ai - Practical deep learning, no math prerequisites
  • Hugging Face NLP course - Transformers from scratch
  • DeepLearning.AI short courses - Focused topics including tool use, RAG, and fine-tuning

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Hands-on practice

  • Kaggle notebooks - Free compute, community datasets, competitions
  • Hugging Face Spaces - Free GPU inference for running models
  • Google Colab - Free GPU for training small models

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Stay current

  • Andrej Karpathy on YouTube - builds GPT from scratch in 2 hours
  • Simon Willison’s blog - practical LLM updates and analysis
  • The Batch newsletter by Andrew Ng - weekly AI news digest

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Open-source ecosystem

  • Hugging Face model hub - thousands of free, downloadable models
  • LangChain and LlamaIndex - frameworks for building LLM applications
  • Ollama - the local model runner you used today

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Robotics resources

  • SunFounder documentation - guides for your robot hardware
  • Raspberry Pi Foundation tutorials - projects and learning paths
  • ROS 2 (Robot Operating System) - the industry standard for advanced robotics

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Career paths

These fields all use what you learned this week:

AI and ML engineering

Build and deploy machine learning models and AI systems.

Robotics engineering

Design and program robots for manufacturing, healthcare, and exploration.

AI safety research

Study how to make AI systems safe, aligned, and trustworthy.

Defense and intelligence technology

Build secure AI systems for national security applications.

Accessibility technology

Create technology that makes the world more accessible for people with disabilities.
All of these are growing fields with strong demand.