Live mentorship tracks
Every track is live 1:1—project feedback, doubt-solving, and a plan for your syllabus, job upskilling, or portfolio. Every session is live 1:1 with personal guidance.
Python (Basic to Advanced)
Build syntax fluency, problem-solving habits, and small projects—ideal for school boards, first-year CS, or switching into tech. OOP, files, APIs, and patterns you will reuse in data and AI work.
Learn More →NumPy & Pandas
Arrays, vectorized ops, and tabular data workflows for assignments, analytics, and ML feature prep. Strong fit for “data handling” units and portfolio notebooks.
Learn More →Machine Learning
Supervised and unsupervised methods, evaluation, and practical modeling—with room to connect to deep learning basics and deployment concepts when it matches your goals.
Learn More →Advanced AI (RAG, Generative AI, AI Agents)
Applied LLM topics: retrieval and grounding, prompt/tool patterns, agents, and safe evaluation—paced to your background, with projects you can explain end-to-end.
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