Strategic sequencer synthesizing University foundational math with 8-stage Agentic AI self-study for Year 2 internship readiness.
Sets & Logic + Intro to Computing → Python/CS & DSA
Discrete structures validate recursion, complexity, and algorithmic proofs.
Calculus I & II + Statistics → Classical ML & Optimization
Gradients, loss landscapes, and eigenvalues dictate model convergence.
Multivariable Calc + Linear Algebra → Deep Learning & PyTorch
Matrix multiplications, backpropagation autograd, and tensor broadcasting.
Linux/Git + SQL → RAG, FastAPI, Docker & Agents
Working knowledge suffices to package intelligent agent workflows for internship portfolios.
Download your customized milestone schedule, depth classifications, and study calendar in JSON or Markdown format.