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Browse real generated courses, open lesson decks and readings, run supported labs, and ask questions with the current course and slide supplied as context.
Real AI-generated decks and courses from SciMigo. Browse the showcase to see the lecture engine in production, or use it for self-paced learning with the AI tutor.
This is demanding material—and that's why it works. Master the fundamental ideas of computation that shaped generations of programmers.
Master the language of AI: vectors, matrices, transformations, and eigenvalues -- with Python code to ground every concept. From NumPy basics to LoRA fine-tuning and mechanistic interpretability.
What Meta actually tests, how it evaluates, and how to think at Staff level. 27 episodes covering distributed systems fundamentals, 13 real Meta-style design problems, and capstone mock interviews.
Build statistical intuition through simulation and visualization. Understand distributions, hypothesis testing, and Bayesian reasoning—grounded in real data.
14 episodes covering ML infrastructure, AI-era systems, and Staff-level architectural thinking — feature stores, model serving, training platforms, vector search, LLM serving, RAG, and AI gateway design.
Browse real generated courses, open lesson decks and readings, run supported labs, and ask questions with the current course and slide supplied as context.
Import a private question bank, practice one problem at a time, review attempt patterns, resume a study path, and receive an evidence-backed next step.
Yes. The course showcase contains real generated STEM lessons with decks, readings, labs where available, and a course-grounded AI tutor. Course availability varies by module.
SciMigo includes course-aware AI help for STEM lessons. Its broader learning MVP is being designed to connect tutoring with one-question-at-a-time practice, validated feedback, study history, and a recommended next step.
That workflow is in active development. The planned MVP will let learners paste or upload source material, review extracted questions, and practice them one at a time. It is not yet generally available.
The tutor receives the current course, module, lesson, and slide context so answers can stay tied to the material being studied. Persistent mastery and misconception tracking are separate MVP capabilities still under development.