AI Practitioner Bootcamp India 2026

AI Practitioner Bootcamp India 2026

Build. Deploy. Scale.

AI Practitioner Bootcamp India 2026 is a 3-month, national-level, project-driven Artificial Intelligence certification program by Presear Softwares Pvt. Ltd. in collaboration with AI2SCHOOL. Designed as a structured AI engineering pipeline, the bootcamp transforms learners at any stage of their academic or professional journey into deployment-ready AI practitioners.

This is not a year-restricted program. It is a capability-based program.

Who Can Apply

✔ 1st Year Engineering Students

✔ 2nd & 3rd Year Students

✔ Final Year Students

✔ M.Tech / MCA / MSc Students

✔ Working Professionals

✔ Startup Founders

✔ Career Switchers with Programming Background

Eligibility is based on aptitude and commitment — not academic year.

Program Structure (12 Weeks)

Phase 1 – AI & Machine Learning Foundations

1. Python for AI
2. Data Handling & Preprocessing
3. Statistics & Probability
4. Supervised & Unsupervised Learning
5. Model Evaluation & Validation
6. Mini Project Submission
7. Outcome: Participants build and evaluate a structured ML pipeline.

Phase 2 – Deep Learning & System Engineering

1. Neural Networks
2. Computer Vision & NLP
3. Transformer Architectures
4. Generative AI Systems
5. RAG & Vector Databases
6. API Development (FastAPI)
7. Docker & Deployment Basics
8. Outcome: Participants deploy an AI application with backend + interface.

Phase 3 – Industry Specialization & Live Project

1. Participants choose one specialization:
2. Enterprise AI Systems
3. Computer Vision Applications
4. Generative AI & AI Agents
5. Final Deliverable: Deploy a production-grade AI solution and present it at Demo Day.

Career Pathways

In partnership with Jobskul:

• Apprenticeship (during program for selected participants)

• Internship opportunities

• Live project deployment

• Industry recommendations

Students in early academic years build strong portfolios.

Senior students gain deployment experience.

Professionals gain upskilling + industry alignment.

Evaluation Model

1. Weekly lab reviews
2. Model benchmarking
3. Code audits
4. Deployment validation
5. Industry panel evaluation
6. Certification is merit-based and performance-driven.

Program Outcome

By the end of 3 months, participants will:

✔ Build ML & Deep Learning models

✔ Design AI system architecture

✔ Deploy AI applications

✔ Understand scalable infrastructure

✔ Present to industry experts

AI Practitioner Bootcamp India 2026 is structured to create AI engineers — not just certificate holders — regardless of academic year.