GenAI & Data Science

What you'll master

• Python for data + statistics + linear algebra refreshers
• Machine Learning: regression, trees, boosting, unsupervised
• Deep Learning: PyTorch, transformers, fine-tuning
• GenAI: RAG pipelines, prompt engineering, LangChain, vector DBs
• Capstone: build & deploy an LLM copilot for a real use-case

Land your first serious role — with a portfolio recruiters actually read.

• →Job-ready portfolio with 4 real projects recruiters actually read.
• →Interview drills across MAANG-style DSA + ML system-design rounds.
• →Referral-first placements — we forward strong candidates to hiring partners.

Reposition your career — pay bump, promotion, or a role switch that sticks.

• →Transition into AI/ML from any engineering / analyst role in 3–6 months.
• →Learn RAG + fine-tuning patterns companies are hiring for RIGHT NOW.
• →Executive-level portfolio piece to negotiate a 40–80 % pay bump.