Authorized Claude Training Partner
BUILD
Learn AI-Native Software Product Building, Hands-on
Build, deploy, and scale AI-native products. Hands-on platform with expert mentoring and real projects.
Learn AI-Native Software Product Building, Hands-on
Build, deploy, and scale AI-native products. Hands-on platform with expert mentoring and real projects.
Training focused on how Claude is used to design, code, and build agents
Ship working AI products with mentor reviews
Hands-on practice with Claude Code, agents, and MCP
Finish with a certificate and a portfolio to show employers
BUILD teaches young developers to create AI-native products end-to-end. Through structured cohorts, hands-on projects, and expert tutoring, participants learn to design, build, deploy, and scale real applications.
Whether you're building your first AI chatbot or a full-stack ML product, BUILD provides the framework, community, and mentorship to succeed.
Master the tools and paradigms shaping AI-native software today.
Autonomous agents that reason, plan, and act
Model Context Protocol: connect LLMs to tools
Cursor, v0, Bolt: AI-powered coding
Retrieval-augmented generation
Embeddings, similarity search, semantic memory
Workflows, pipelines, tool chains
A three-pillar, hands-on certification program that takes you from AI-native product design to shipping production-grade multi-agent systems, using Claude as your co-pilot at every stage.
Certificate issued by Immersive Computing Labs
Turn ideas into production-ready AI products. Use Claude to research users, draft PRDs, generate wireframes, and shape system architecture before a single line of code is written.
Ship real applications faster with Claude Code as your agentic pair programmer. Write, refactor, test, and deploy production code across full-stack, backend, and ML workloads.
Graduate from single prompts to full multi-agent systems. Design, deploy, and govern teams of Claude agents that plan, collaborate, and execute complex workflows end-to-end.
Industry-oriented, 100% online internships across 5 major domains and 20 specialized project tracks. Build portfolio-ready AI products with mentor guidance, on your schedule.
Fully online · Industry-oriented · 1–3 months
Build predictive models and data pipelines used in real business decisions, from churn analysis to recommendation engines.
5 Project Tracks
Regression & classification with Scikit-learn on real datasets
Sales, demand & stock prediction using ARIMA & Prophet
End-to-end ML pipeline for telecom & SaaS retention
Collaborative & content-based filtering for e-commerce
Detect sensor faults & outliers in industrial IoT streams
Train CNNs and vision transformers to solve real-world image and video problems, from retail to healthcare.
4 Project Tracks
Custom CNN & transfer learning on domain-specific images
Real-time detection for retail, traffic & safety use cases
Face detection, embedding & verification pipeline
X-ray & scan classification with explainable AI
Work with text, embeddings, and LLMs to build intelligent language applications used in support, search, and content.
4 Project Tracks
Social media & review sentiment with BERT fine-tuning
Domain-specific Q&A over company documents & wikis
Abstractive & extractive summarization for legal & news
Custom NER for finance, healthcare & legal entities
Go beyond prompts: build generative apps and autonomous agent workflows that mirror what startups ship today.
4 Project Tracks
Blog, ad copy & image generation with guardrails
Planner-executor-critic agents for business tasks
LoRA/QLoRA fine-tuning on domain-specific corpora
Context-aware coding helper with repo indexing
Learn to take models from notebook to production: CI/CD, monitoring, and scalable inference on cloud infrastructure.
3 Project Tracks
Data ingestion, training, registry & deployment on AWS/GCP
Containerized serving with auto-scaling & health checks
Low-latency REST/gRPC endpoints with monitoring & A/B testing
Flexible plans: same project, scale up as you go deeper
1 Month
₹499
Foundation build & mentor reviews
2 Months
₹699
Full project + portfolio & certificate
3 Months
₹999
Advanced features + industry demo day
20 project tracks · 5 domains · Rolling admissions
Equip your faculty to teach, assess, and research with AI. A common core for every faculty member, followed by hands-on, industry-relevant tracks for each department.
Institutional batches · Department-specific labs · 1 day to 12 months
2 days for all faculty, across departments
ML, deep learning, generative AI, and agents: what each can and can't do
Structured prompts, checking outputs, and spotting hallucinations
Lesson plans, lab manuals, simulations, and case studies
Question banks mapped to Bloom's levels and CO-PO outcomes, rubrics, and feedback
Literature review, data analysis, and proposal drafting with proper disclosure
AI-resilient assignments, student AI-use policies, and the limits of AI detectors
Bias, privacy, copyright, and India's DPDP Act
Build a course assistant over your own notes
3 days of applied AI for each discipline, plus a 1-day track for college leadership
Software, SaaS, IT services
ML pipelines, LLMs, RAG, vector databases, agents, MCP, MLOps, AI-assisted coding
Lab: Build and deploy a RAG agent
Semiconductors, telecom, IoT
TinyML, edge AI, embedded vision, signal processing with ML, AI in VLSI and wireless
Lab: Run a model on a microcontroller or Jetson board
Power utilities, EVs, renewables
Load and renewable forecasting, fault detection, battery health estimation, smart grids
Lab: Predict battery state of health
Manufacturing, automotive, aerospace
Predictive maintenance, visual inspection, digital twins, generative design, robotics
Lab: Predict remaining useful life from sensor data
Construction, infrastructure, smart cities
Crack detection, BIM with AI, remote sensing, traffic modelling, project risk prediction
Lab: Detect structural cracks with computer vision
Pharma, process plants, life sciences
Process optimisation, soft sensors, molecular property prediction, AI in drug discovery
Lab: Predict molecular properties with RDKit
BFSI, retail, consulting
Demand forecasting, marketing and HR analytics, AI strategy, AI in operations
Lab: Build a forecasting dashboard
Principals, deans, HoDs
AI strategy and policy, curriculum updates, AI labs and budgets, NAAC and NBA documentation, industry partnerships
Outcome: An AI adoption plan for your institution
Start with a single workshop or build a year-long partnership
Awareness Workshop
1 day
Introduce AI to all staff
Core FDP
5 days
Common core plus one department track
From ₹1,50,000
per batch of up to 30 faculty
Advanced FDP
2 weeks
Deeper labs and a capstone
Train-the-Trainer
4–6 weeks, hybrid
Create in-house AI champions
Annual Partnership
12 months
Cohorts, mentoring, and lab setup
Prices exclude GST. Your final quote depends on batch size, location, and department tracks.
Define product & users
Architecture & UX
Code & integrate AI
Cloud & DevOps
Optimize & grow
AI Engineers will be in demand. Traditional software engineers who don't upskill risk being left behind.
7M
AI-fluent roles in 2025, up from 1M in 2023
59.9%
YoY growth in AI/ML Engineer job openings (Q3 2025)
−13%
Entry-level tech roles dropped; AI roles surged
2×
AI/ML Architect openings doubled in one year
Routine coding is being commoditized by AI assistants. The jobs of tomorrow belong to developers who can design AI-native systems, orchestrate agents, and ship products that leverage LLMs, RAG, and MCP, not those who only write traditional code.
The window to upskill is open. Don't miss it.