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Interactive AI & Machine Learning Courses. Hands-on tutorials, benchmarks, and production engineering guides.
Trading Algorithms & Quantitative Strategies
Systematic Alpha, Market Efficiency & Quantitative Trading Strategies
Master quantitative trading strategies, financial statement analysis, academic research deconstruction, Piotroski F-Score, and PEAD execution models.
Context Engineering Course
Long-Context & Code Agent Infrastructure
Learn context window optimization, needle-in-a-haystack benchmarking, prompt compression, and memory systems for autonomous code agents.
Robotics Evaluation Course
Physical AI & Embodied Intelligence
Learn to evaluate and benchmark embodied AI models, visual-language-action (VLA) models, and control policies with LeRobot.
a smol course
Post-Training & Fine-Tuning SLMs
The smallest, punchiest course on post-training small language models, SFT, DPO, and quantization for local edge deployment.
Agents Course
Multi-Agent Orchestration & Tool Use
Learn to build, evaluate, and deploy production AI agents using smolagents, LangGraph, and tool-calling validation suites.
Deep RL Course
Reinforcement Learning from Human Feedback
Learn deep reinforcement learning, PPO, GRPO, and RLHF alignment techniques using modern AI open-source libraries.