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Research & Advanced AI
Understand Cutting-Edge AI — No PhD Required
A friendly, visual tour of how modern AI research works and the big ideas behind it — reading papers, transformers, LLMs, generative models, reinforcement learning, safety, interpretability, and running your own experiments. Advanced topics made genuinely simple to understand.
Intermediate18 modules12-16 weeksCurious learners and developers exploring modern AI research
Curriculum Modules
18 modules covering everything from fundamentals to advanced topics.
01
Module 1: What Is AI Research?
5 min887 words
02
Module 2: How to Read a Research Paper
5 min867 words
03
Module 3: Finding & Mapping the Literature
5 min944 words
04
Module 4: Reproducing a Paper — From Math to Code
5 min875 words
05
Module 5: Designing Good Experiments
5 min855 words
06
Module 6: Transformers & Attention, Explained Simply
5 min866 words
07
Module 7: Large Language & Foundation Models
5 min870 words
08
Module 8: Generative Models — GANs, VAEs & Diffusion
5 min930 words
09
Module 9: Reinforcement Learning
5 min864 words
10
Module 10: RLHF — Aligning Models with Human Feedback
5 min945 words
11
Module 11: Graph Neural Networks
5 min929 words
12
Module 12: Multimodal AI
5 min862 words
13
Module 13: Scaling Laws & Emergent Abilities
5 min818 words
14
Module 14: AI Safety & Alignment
5 min834 words
15
Module 15: Interpretability — Looking Inside Models
5 min821 words
16
Module 16: Evaluating Models & Benchmarks
5 min903 words
17
Module 17: Your Research Project (Capstone)
5 min838 words
18
Module 18: Your Roadmap & Next Steps
4 min727 words
Capstone Project
Put everything together in a comprehensive final project that demonstrates your mastery. Includes real-world problem solving, documentation, and portfolio-ready deliverables.
View Capstone Details