Courses & Programs

Pick a track based on your current level and target role. Every program is project-first and includes mentor feedback.

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Beginner

AI Foundations

Build strong fundamentals and a starter portfolio.

Python essentials for data work
Pandas, Numpy, visualization
Statistics & probability basics
Supervised learning (regression, classification)
Mini projects + capstone

Enquire → 8–10 weeks

Intermediate

ML Engineer Track

Learn production thinking: evaluation, APIs, deployment basics.

Model metrics & error analysis
Feature engineering patterns
Experiment tracking (concepts)
Serve models via simple APIs
Capstone with review cycles

Enquire → 10–12 weeks

Fast-growing

GenAI & RAG

Build assistants that use your documents, tools, and workflows.

Prompting, guardrails, evaluation basics
Embeddings + vector search concepts
RAG: chunking, retrieval, citations
Agentic workflows (when appropriate)
Portfolio-ready GenAI apps

Enquire → 6–8 weeks

What you get

Designed to help you learn, build, and present your work clearly.

Projects with milestone-based guidance
Mentor feedback on code and approach
Portfolio storytelling (problem → approach → results)
Interview prep focused on fundamentals + case studies

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