Govt. Polytechnic, Bhubaneswar × MyOoumph Networks Pvt. Ltd. | CoE Programme
Governed under a formal CoE framework with institutional and industry oversight
Become an AI-Ready Engineer Before You Graduate
Hands-on Applied AI training built for polytechnic students. Real industry projects. Real tools. Real deployment. Open to all engineering branches.
Engineering is Changing. Are You?
- ✖AI is already in use in construction sites, power plants, factories, and traffic systems.
- ✖Most diploma graduates arrive at work without a single practical AI skill.
- ✖Standard AI courses are built for software engineers, not for Civil, Mechanical, or Electrical diploma students.
- ✖Companies are starting to explicitly ask for “AI familiarity” even in core engineering roles.
- ✔A programme written for diploma engineers from the ground up, rather than adapted from an IT course.
- ✔AI taught through the lens of YOUR branch, YOUR tools, YOUR problems.
- ✔50% lab time every session: you build before you go home.
- ✔You learn to validate, workflow, and deploy AI, which is a step past simply using it.
Ready to make the shift?
Understand the Programme in Detail
Explore the CoE through three structured documents:
Brochure
Overview, outcomes, and career pathways.
Prospectus
Programme structure, pedagogy, and delivery model.
Curriculum
Detailed modules, tools, and deployment systems.
Choose what you want to explore:
Government Polytechnic, Bhubaneswar
Government Polytechnic, Bhubaneswar (GPB) is one of Odisha’s established diploma engineering institutions. Governed by the Directorate of Technical Education and Training (DTET) and affiliated with SCTE&VT, it serves as a hub of excellence for aspiring engineers.
By partnering with MyOoumph Networks Pvt. Ltd. (Ooumph) to establish the Applied AI Centre of Excellence, GPB is pioneering the integration of advanced, industry-grade artificial intelligence training directly into its diploma curriculum, empowering students from all branches to become deployment-ready AI practitioners.
Govt. Polytechnic, Bhubaneswar
Chandrasekharpur, Bhubaneswar, Odisha
A Complete Applied AI Education Built for Your Career
AI Fluency (All Students)
- How AI works without intimidating math
- Prompt engineering: professional-level structured interaction
- AI output validation: spot hallucinations, errors, bias
- AI workflow design
- Responsible AI: DPDP Act 2023
- Domain AI applications
Technical AI Skills (Core & Adv)
- Python for Data and AI
- Machine Learning: build, train, evaluate, deploy
- Deep Learning: CNNs, LSTMs, transfer learning
- NLP and LLMs
- RAG Systems
- AI Agents with LangGraph and CrewAI
- FastAPI, Streamlit, Docker, Cloud, GitHub
Deployment & Career Skills
- Real project portfolio on GitHub
- Cloud deployment (Hugging Face, GCP)
- MLflow experiment tracking
- Technical documentation and model cards
- Interview preparation and mock rounds
- Industry problem-solving exposure
The Bifurcated Deployment Track: The CoE Differentiator
Most AI courses teach only cloud deployment. This CoE trains two deployment pathways based on what your career actually needs:
Cloud Track
CS/IT & Data Roles
Deploy models as APIs on Google Cloud Run and Hugging Face Spaces. Build Streamlit and Gradio applications. Use Docker for portability.
Hardware/Edge Track
Core Engineering Students
Deploy AI on physical devices. TinyML on Arduino. Computer vision on Raspberry Pi. IoT sensor AI. Real-time inference on the machine floor.
You choose your track based on your branch and career goal. Both tracks are covered in the programme.
This programme is governed under a structured CoE framework with academic and industry oversight. Curriculum design and execution are led by the Program Director & Academic Head – CoE, which keeps it aligned with real-world engineering deployment standards.
One Pathway, Three Levels
Foundation
Open To
All branches, all semesters
What You Do
Schedule: 1.5–2 hrs/day | 5 days/week Total: ~90 hours
You Become
AI-Fluent: ahead of 90% of your peers in the job market.
Practitioner
Open To
Foundation grads OR basic computer skills
What You Do
Schedule: 2 hrs/day | 5 days/week Total: ~300 hours
You Become
Applied AI Practitioner.
Specialist
Open To
Practitioner graduates
What You Do
Schedule: 2 hrs/day | 5 days/week Total: ~360 hours
You Become
AI Systems Developer.
Full Programme (All 3 Levels): ₹59,999
(Structured pathway from AI fluency to AI systems development)
Designed for diploma students: ~10 hours/week alongside regular academics.
Note on fees: Government scholarship schemes (TFW, SC/ST, OBC) and institutional fee waiver policies apply. Contact our counseling team, we will help you identify all applicable concessions before you pay anything.
Projects, Deployed and Documented on GitHub
Plant Disease Detector
Deploy an image classifier for crop disease using smartphone photos.
Smart Energy Forecaster
Predict next-day energy demand based on historical usage data.
AI Attendance System
Face recognition-based logging for classrooms and offices.
Construction Defect Detector
Real-time safety violation and structural defect detection.
RAG Study Assistant
Ask conversational questions directly from your own syllabus PDFs.
Smart Grid Fault Classifier
Classify electrical fault types from simulated grid data.
Vehicle Health Monitor
Analyze OBD-II sensor data for predictive maintenance.
AI Multi-Agent Researcher
Autonomous research, synthesis, and reporting using agents.
Every project is deployed, documented, and on GitHub. This is your portfolio.
You Learn AI Inside Your Engineering World
AI is applied across engineering, not limited to IT.
Civil Engineering
Crack detection, Site safety, GIS + AI, Structural health, BIM + AI.
Mechanical Engineering
Predictive maintenance (vibration), Visual inspection, Generative CAD, Digital twins.
Electrical Engineering
Load forecasting, Fault classification, Solar/Wind output prediction, Smart meter analytics.
Electronics & Comm.
TinyML (Arduino Nano), PCB defect detection, Voice command systems, IoT + AI alerting.
Automobile Engineering
OBD-II analytics, Traffic flow detection, ADAS concept demos, EV battery state estimation.
Architecture & Design
AI-assisted rendering, Generative space layouts, Sustainable energy modeling, BIM clash detection.
Computer Science & IT
Complete ML pipeline, NLP, RAG, Fine-tuning, MLOps, Cloud.
Not Classroom-Only. Industry Built In.
Industry Problem Statements
Capstones from partner companies. Not made-up exercises.
Real Datasets
Actual operational data (with protocols), not curated textbooks.
Internship Referral
Top Level 2/3 performers referred for 4–8 week technical internships.
Monthly AI Spotlight
90-minute session by a practicing AI professional. Real career trajectories.
Joint Evaluation Panels
Final presentations include industry evaluators.
Portfolio Review Before Placement
CoE team reviews GitHub portfolios before internship referrals.
Who Governs the CoE
The CoE operates under a structured governance model:
- ✔Strategic oversight by institutional and industry leadership
- ✔Programme execution led by the Program Director & Academic Head – CoE
- ✔Continuous evaluation through industry-led project reviews
Every outcome is verifiable, accountable, and aligned with real-world deployment standards.
Four progressive certifications. Real role outcomes.
AI Foundations
AI-Aware Technician
AI Practitioner
Junior ML Practitioner, IoT+AI Tech
Systems Developer
ML Engineer, AI Developer
Innovation Fellow
Senior Tech Roles, Startup Track
The CoE programme is curriculum-aligned with external certification pathways from NVIDIA DLI, Google AI, IBM SkillsBuild, and Microsoft Learn. Students are guided to pursue these alongside CoE training — at no additional cost for audit access.
Trained by Practitioners. Supported at Every Step.
Industry Trainers
(MyOoumph)AI engineers with hands-on deployment experience leading the core modules.
Certified Faculty
(Institutional)Govt Polytechnic faculty who completed the rigorous 5-phase ToT programme.
The 'Build It Together' Method
(Pedagogy)Faculty co-debug live. When code breaks, they diagnose it with you on screen.
Peer Learning
(Community)Advanced students mentor foundation students. Teaching is the deepest form of learning.
Seats in the Current Batch
Programme runs in a structured weekly model:
- • 5 days/week
- • 1.5–2 hours/day
- • ~10 hours/week guided learning
- • Additional 3–4 hours/week self-practice
Flexible during exams (reduced load / revision weeks)
| Programme | Dates | Days | Time | Available Seats |
|---|---|---|---|---|
| Foundation (Tier 1) | 18 May 2026 - 30 Jul 2026 | Mon/Wed/Fri | 11:00 AM - 12:30 PM | 23 of 40 |
| Core Program (Tier 2) | 01 Jun 2026 - 04 Dec 2026 | Tue/Thu | 11:00 AM - 12:30 PM | 9 of 30 |
| Weekend Batch (Foundation) | 06 Jun 2026 - 23 Aug 2026 | Sat/Sun | 10:00 AM - 01:00 PM | 13 of 40 |
* Seats filled on a first-come, first-served basis after eligibility screening. Application does not guarantee enrollment.
Transparent Pricing. Maximum Support.
Foundation
Practitioner
Specialist
Full Programme
Includes: Industry projects, cloud credits, deployment tools, GitHub portfolio, and mentorship support.
Important Note on Fees
Government scholarship schemes including TFW, SC/ST, OBC concessions, and institution-specific fee waivers are applicable. We will help you identify every concession you are eligible for before you pay. Book a free counseling call first.
Book Free Counseling: We'll Walk You Through FeesBy proceeding, you agree to our Terms & Conditions and acknowledge our Privacy Policy and Cancellation & Refund Policy.
Who Can Join?
Foundation
- ✔ Any enrolled GPB student
- ✔ Any branch, any year
- ✔ No coding required
- ✔ 75% attendance commitment
Core Program
- ✔ Foundation Certificate OR
- ✔ Demonstrated Python/data basics (30-min screening)
- ✔ All engineering branches welcome
Advanced
- ✔ Core Certificate holder
- ✔ GitHub portfolio with 3+ deployed projects
- ✔ Technical screening interview
Apply Now: Batch Filling Fast
No payment is required at this stage. Submit your details for eligibility screening.
Questions We Get Asked Most
Start with clarity. Then commit.
Every engineering role is changing. The CoE gives you the skills, the portfolio, and the network to be on the right side of that change. Limited to 40 seats per batch. Applications reviewed on a rolling basis.