Polaris School of Technology
CSE Specialization Selector
CSE Specialization Selector
Find the specialization built for you.
9 questions · 3 specializations · one Polaris B.Tech CSE degree.
Specialization 01
Product Management & Engineering
Engineering + product thinking. Build what users love. Path to founder, PM, growth engineer.
Amazon Web Services
Specialization 02
Cloud & Big Data Engineering
Distributed systems, data pipelines, cloud scale. Google Cloud certs in-degree.
Google Cloud · Certs Embedded
Specialization 03
Applied Artificial Intelligence
Models, LLMs, agents. Research-heavy and mathematically rigorous.
4-year B.Tech CSE
5,000 hrs live coding
Year 4 Industry Immersion
Whitefield, Bengaluru
Analysing your answers…
Compare All Three Specializations
Same 4-year B.Tech CSE degree. Common foundation in Years 1–2. Specialization deepens in Year 3. Year 4 is full industry immersion for all.
| Dimension | Product Management & EngineeringIn Collab with Amazon Web Services | Cloud & Big Data EngineeringIn Collab with Google Cloud | Applied Artificial IntelligenceIn Collab with Frontier AI Companies |
|---|---|---|---|
| Core question | How do I build products people use — and businesses value? | How do I build and run systems at scale? | How do I build intelligent systems from the ground up? |
| Best fit for | Product-minded engineers with founder energy and user instincts. | Systems thinkers who love backend, architecture, and scale. | Mathematically inclined students drawn to models, agents, and AI research. |
| Year 3 focus | Problem Discovery · Product Architecture · Experimentation & Analytics · Growth Engineering · Monetization · VC Studio. | Distributed Systems · Data Modeling · Stream & Batch Processing · Cloud Architecture · Observability · Large-Scale Systems Studio. | Deep Learning · LLM & Generative Systems · AI Infrastructure & MLOps · Responsible AI · Gen AI Studio. |
| Year 4 capstone | VC Studio — build a real venture, pitch it, and aim for first 1,000 users. | Large-Scale Systems Design Studio — real infrastructure, real incidents, real consequences. | Gen AI Studio — production-grade AI model, agent, or system. |
| Industry partnership | AWS infrastructure access · AI credits · TechCombinator pipeline. | Google Cloud certifications · ₹10K GCP credits · Buildathon with Google. | Curriculum co-shaped with frontier AI companies · advanced ML labs. |
| First-role zone | Product Engineer · Associate Product Manager · Growth Engineer · Founder · Full-Stack Engineer. | Cloud Engineer · Data Engineer · Site Reliability Engineer · Backend Platform Engineer. | AI/ML Engineer · Applied AI Researcher · Generative AI Engineer · ML Platform Engineer. |
| Common confusion | “Is this just an MBA after 12th?” — No. It keeps the engineering core; it adds product and business judgment on top. | “Is this the same as data science?” — No. This is infrastructure and platforms, not analytics or modelling. | “Will I build the next ChatGPT?” — Not from scratch, but you'll build production AI apps, agents, and ML systems on top of modern stacks. |
4-year B.Tech CSE
Common foundation Years 1–2
Specialization deepens in Year 3
Year 4 Industry Immersion
Project-first portfolio