Our coaching programs are designed for fresh graduates, working professionals, and enterprise teams. Learn AI fundamentals, MLOps, GenAI integration, and full-stack deployment from real industry experts.
Every track is hands-on, project-based, and taught by practitioners who ship production AI systems for a living. Pick the path that fits where you are today.
Hands-on, fast-paced training tailored for enterprise teams to upskill in real-world AI applications. Cohorts run on-site or virtually and are customized to your stack, data, and industry context.
Master the latest in Generative AI and LLMs with structured, project-based learning paths. Built for developers, data scientists, and product engineers who want to ship LLM features in production — not just demo notebooks.
Personalized mentorship from industry experts to guide learning, projects, and career growth. Built for final-year students, fresh graduates, and early-career engineers breaking into AI.
We've stripped away the academic fluff. Every module ends with a working artifact — a notebook, a pipeline, a deployed service — not a multiple-choice quiz.
Linear algebra refresher, supervised & unsupervised learning, model evaluation, and the engineering mindset behind modern AI systems.
Prompting, function calling, structured outputs, fine-tuning, and building evaluation harnesses you'd actually trust in production.
Embeddings, chunking strategies, hybrid retrieval, re-ranking, and evaluating answer quality on your own enterprise corpus.
Tool use, planning, memory, and the failure modes nobody talks about in agent demos. Build something that survives day-2 in production.
CI/CD for models, experiment tracking, monitoring drift, regression testing prompts, and managing cost & latency at scale.
YOLO & modern detectors, segmentation, OCR, video analytics, and edge deployment on Jetson and other constrained hardware.
API design, containerization, GPU scheduling, and shipping an AI feature end-to-end on AWS, GCP, or Azure.
Bias audits, prompt-injection defenses, data privacy, and the policy & compliance lens that regulated industries demand.
Final-year students and recent graduates from CS, ECE, math, and adjacent fields who want a fast, structured on-ramp into modern AI engineering — with portfolio projects and career support.
Software engineers, data scientists, product managers, and tech leads adding GenAI/LLM capability to their existing skillset — without quitting their day job.
Innovation, engineering, and data leaders who need their entire team aligned on AI capability — fast — and want training tied to a real internal use case, not generic slides.
Training that sticks doesn't come from slides. It comes from solving a real problem, with a mentor watching every step.
Skill-gap survey, current-state interview, and goal alignment for individuals or teams.
Curriculum tuned to your stack, data, industry, and the outcomes you need to hit.
Live labs, paired programming, and code reviews — not passive lectures.
A capstone project on a real use case, shipped to a working environment.
Skills assessment, public certificate, and an executive readout for sponsors.
Every instructor ships production AI for a living. They bring the scars — and the playbooks — of having done this for real clients.
10+ years building production ML
Deployed RAG & agents at scale
Real-time vision in 5+ industries
Built CI/CD for ML on AWS, GCP, Azure
Tell us who you are and what you're trying to learn — we'll match you to the right program, or design one with you.