Capability Building Programs
At Qubits Tensors, our primary work is helping Big Tech units, deep‑tech startups, and system integrators navigate defence and civil–military technology opportunities in India. To support these engagements, we run specialised capability‑building programs that give teams and early‑career engineers the skills needed to actually implement what we design—whether that is operationalising India’s Digital Personal Data Protection (DPDP) Act inside SaaS products, or building real applications with Generative AI and modern ML pipelines. These courses are tightly aligned with our advisory practice, so participants learn not just tools and theory, but the patterns and constraints that matter in defence, dual‑use, and enterprise environments.
Drone Forensics Course
It is designed for learners who need a fast, practical path into UAV systems, evidence handling, and investigative workflows without committing to a longer course. The format combines essential online theory with a targeted hands-on session so participants can build confidence quickly and apply what they learn immediately. What makes it unique is the balance of speed and depth: every day is intentionally compressed, but each topic still connects directly to real drone forensics use cases.
The DPDP Playbook: SaaS‑Focused Compliance for Modern Teams
This course is a practical, India-first deep dive into the Digital Personal Data Protection (DPDP) Act designed for anyone involved in building, managing, or studying digital products—founders, product managers, engineers, project leads, compliance teams, and students alike. Instead of dense legalese, we break DPDP down into clear concepts, real-world examples, and simple frameworks that show how it affects data collection, storage, sharing, retention, and security in everyday apps and SaaS platforms. You’ll learn the key roles and responsibilities under the Act, how consent and notices should work, what “privacy by design” looks like in practice, and how organizations can reduce risk while still innovating quickly. By the end of the course, you’ll have a solid understanding of DPDP and a set of actionable steps you can apply in your own context—whether you’re shipping features, managing projects, advising clients, or preparing for a career in tech.
Generative AI / ML
This course is designed for fresher computer engineers who want to break into software development roles by actually building with Generative AI and modern ML, not just learning buzzwords. Across the program, we move from core theory to real-world implementation: selecting and using popular GenAI platforms and tools, designing and optimizing ML and RAG-style pipelines, and applying solid data engineering practices to make models usable in products. Learners will work on mini projects that simulate actual startup and enterprise use cases, gaining hands-on experience in prompt and model design, integration with backend systems, and evaluation. By the end, participants will have a portfolio of GenAI-driven projects and the interview readiness—concepts, vocabulary, and problem-solving patterns—required to stand out in software development hiring.
