M.Tech in Applied AI Engineering
International-Grade. India-Ready.
2 Years • 2 Tracks • 1 Research Operating System
The Pragna Core:
The "AI Systems Spine"
We don't just build models; we architect intelligence.
Prior to specialization, every student masters the foundational systems required for production-grade AI. This rigorous core ensures you can not only design algorithms but deploy them at scale.
MLOps & LLMOps
Deployment pipelines, model monitoring, and cost governance at enterprise scale.
Responsible AI
Compliance engineering, audit protocols, and governance frameworks for ethical AI.
Global Standards
Curriculum mapped to International-Grade benchmarks while solving India-Ready challenges.
Choose Your Mastery
Year 1: The Systems Engineer
"Mastering the AI Systems Spine."
S1Theoretical Foundations
- MATH 501Optimization for ML & DL
- CS 501Advanced Data Structures in C++
- ML 501Advanced Statistical Learning
- SYS 501Distributed Computing Systems
- LAB 1The Scalable Systems Sprint
S2Engineered Intelligence
- DL 502Computer Vision & Visual Systems
- NLP 502Sequence Models & Attention
- OPS 502MLOps: CI/CD for Models
- SEC 502Responsible AI & Ethics
- LAB 2The "Deployment" Sprint: End-to-End API
Year 2: The AI Architect
"Leading the Deployment of Scale."
S3Domain Specialization
- DOM 601Applied AI in Finance/Healthcare
- SYS 601High-Performance Computing (CUDA)
- MGMT 601Technical Product Management
- LLM 601GenAI Architectures & RAG
- LAB 3Venture Studio: AI Startup Prototype
S4The ROS Capstone
- CAP 601Live Pilot: Deployment to 100k+ Users
- CAP 602The Deployment Dossier (Technical Portfolio)
- ROS 601Government/Industry Squad Lead
The Execution Loop
Phase 1: Intake
Large-scale problems from Govt & Industry are mapped to student squads via ROS.
Phase 2: Execution
Mode A squads harden the pilot; Mode B scientists invent the underlying novel logic.
Phase 3: Graduation
Final outcome: A live production system or a peer-reviewed publication.
The ROS Engine
Research Operating System: Real Problems. Real Stakeholders.
Pragna M.Tech students don't work on hypothetical toy projects. Through the Research Operating System (ROS), students tackle "Wicked Problems" provided by our government and industry partners. You assume the role of a Squad Lead, managing resources and timelines to deliver solutions that impact thousands of lives.
State-Level Intake
High-impact challenges curated from Telangana State & industry leaders.
Squad Leadership
Every M.Tech student leads a technical squad to solve specific problem tickets.
Elite Trajectories
Where Pragna AI Engineers go next.
Applied AI Engineer
GenAI Architect
AI Product Lead
MLOps Engineer
Research Scientist
Architect the Future of Intelligence
Join the cohort of elite engineers solving the world's most complex challenges. This is not just a degree; it's a launchpad for your career in the AI era.