AI · IoT · Robotics · Center of Excellence

Build the Future of AI. Together.

VedaAI is a next-generation AI education and innovation platform embedded inside partner colleges and universities across India — creating job-ready AI engineers, architects & entrepreneurs.

3–6 Months to Job-Ready 5 Core AI Tracks 10,000+ Target Students/Year ₹8–30 LPA Graduate Salary No-Code AI Platform
Explore Programs Partner Your College
5
Specialist AI Tracks from Foundations to Architect level
₹1.2L
Maximum programme fee — vs ₹3L+ for equivalent bootcamps
10K+
Target students trained annually across partner colleges
₹30L
Top graduate salary range for GenAI developers
Course Catalogue

5 AI Programs for Every Level

Product-first, GenAI-first, Deployment-first. Every programme ends with a live deployed AI product — not just a certificate.

Program 01 / 05
AI Foundations & GenAI Mastery
Duration3 Months
LevelBeginner to Intermediate
Core SkillsPython · ML · Deep Learning · LLMs · Prompt Engineering · RAG · GenAI App Deployment
Tools & PlatformsTensorFlow · Keras · OpenAI API · ChromaDB · FAISS · No-Code Platform
Who is this for?College students, CS graduates, and developers who want a complete journey from Python basics to building and deploying GenAI-powered products.
Capstone Outcome: Design, build, and deploy a complete GenAI-powered SaaS web application using our No-Code platform — live on cloud, production-grade, and portfolio-ready for job applications.
Curriculum — Module by Module
M1
Python & ML Foundations
Python for AI: OOP, NumPy, Pandas, Matplotlib. ML fundamentals: supervised/unsupervised learning, decision trees, regression, model evaluation, cross-validation, feature engineering. Build a real-world prediction model (house prices / student performance).
M2
Neural Networks & Deep Learning
Perceptrons, activation functions, backpropagation, gradient descent. CNNs for image classification. TensorFlow/Keras fundamentals. Train, evaluate, and save models. Build an image classifier for real-world product recognition.
M3
Large Language Models & Transformers
Transformer architecture, self-attention, positional encoding. GPT, BERT, LLaMA — architecture comparisons. Pre-training vs fine-tuning vs in-context learning. Tokenization, embeddings, vector representations. LLM limitations: hallucinations, bias, context windows.
M4
Prompt Engineering & RAG
Zero-shot, few-shot, chain-of-thought, and tree-of-thought prompting. Prompt templates and structured outputs. OpenAI, Anthropic, Gemini API integration. RAG pipeline: vector databases (ChromaDB, FAISS), document ingestion, chunking, embedding, retrieval. Build a document Q&A chatbot over real data.
M5
AI API Integration & Application Architecture
Connecting LLM APIs to web applications. Building chatbots, summarisers, and content generators. Understanding AI application architecture: frontend, backend, vector DB, and LLM layers. Error handling, rate limiting, and cost management for AI APIs.
M6
GenAI App Capstone — No-Code Platform Deployment
Full GenAI product lifecycle: idea → architecture → build → deploy. Integrating LLMs into a complete web application using our No-Code platform. Cloud deployment walkthrough on AWS/GCP. Final capstone: a live, deployed GenAI-powered SaaS product presented to an industry panel.
Program 02 / 05
AI Agent Development
Duration4 Months
LevelIntermediate to Advanced
Core SkillsAI Agents · LangChain · LangGraph · AutoGen · CrewAI · Multi-Agent Systems · Production Deployment
Tools & PlatformsLangChain · LangGraph · AutoGen · Docker · AWS/GCP/Azure · Langfuse · LangSmith
Who is this for?Working professionals and developers who want to build autonomous AI agents and multi-agent enterprise automation systems.
Capstone Outcome: Design, build, and deploy a multi-agent business automation system on cloud — with real enterprise workflow integration, monitoring, and security guardrails in place.
Curriculum — Module by Module
M1
Foundations of AI Agents
Agent vs chatbot vs assistant — architectural differences. ReAct (Reasoning + Acting) framework. Tool use and function calling in LLMs. Agent memory types: short-term, long-term, episodic, semantic. Task planning and decomposition with LLM reasoning. Build a simple ReAct agent that searches, reasons, and responds autonomously.
M2
LangChain & LangGraph
LangChain agents: MRKL, OpenAI Functions, structured tools. LangGraph for stateful workflows: nodes, edges, state management. Custom tool creation: web search, database query, API call agents. Human-in-the-loop agent design. Build a research agent that retrieves, analyses, and reports on any topic.
M3
Multi-Agent Systems
Multi-agent architectures: supervisor, collaborative, and debate models. AutoGen and CrewAI frameworks in depth. Agent communication protocols and message passing. Specialised agents: coding agent, data analyst, retrieval specialist. Failure handling, retry strategies, and fallback planning.
M4
Agent Tools & Enterprise Integrations
REST and GraphQL API integration with agents. Browser automation using Playwright + AI. Database agents: SQL generation and schema understanding. Code execution agents. IoT data processing and action agents. Integration with CRM, ERP, and enterprise systems.
M5
Agent Security, Guardrails & Observability
Prompt injection prevention and adversarial input handling. Output validation and content filtering. Agent tracing and debugging with Langfuse and LangSmith. Cost tracking and token budget management. GDPR and enterprise data compliance for agentic systems.
M6
Production Deployment Capstone
Containerising agents with Docker. Cloud deployment on AWS/GCP/Azure. CI/CD pipelines for agent systems. Production monitoring: latency, accuracy, hallucination rates. Final capstone: a deployed multi-agent enterprise automation system with live demo.
Program 03 / 05
Full Stack AI Engineer
Duration5 Months
LevelIntermediate to Advanced
Core SkillsPyTorch · GenAI · FastAPI · React.js · MLOps · Docker · CI/CD · Cloud Deployment
Tools & PlatformsPyTorch · FastAPI · React.js · MLflow · AWS SageMaker · GCP Vertex AI · GitHub Actions
Who is this for?Job seekers and career switchers who want to become complete AI engineers with full-stack and MLOps deployment skills.
Capstone Outcome: A fully deployed AI SaaS product — complete with React.js frontend, Python/Java backend, LLM integration, and CI/CD pipeline — presented to an industry panel. Placement drive begins immediately after demo day.
Curriculum — Module by Module
M1
AI & ML Engineering
PyTorch: CNNs, RNNs, Transformers. Computer vision with YOLO. NLP: text classification, NER, sentiment. Time series forecasting with deep learning.
M2
GenAI & LLM Engineering
Full LLM stack: prompt engineering, RAG, fine-tuning with LoRA/QLoRA. Multimodal AI. Speech AI: ASR, TTS, voice-enabled applications.
M3
Backend Engineering for AI
Python FastAPI for AI APIs. RESTful design, authentication, rate limiting. PostgreSQL, MongoDB, Redis. Async processing with Celery.
M4
Frontend for AI Applications
React.js for AI app UIs. Conversational interfaces and AI dashboards. Streaming LLM responses. Full-stack integration using our No-Code platform to accelerate delivery.
M5
MLOps & Production Deployment
MLflow, Weights & Biases. Docker, CI/CD with GitHub Actions. AWS SageMaker, GCP Vertex AI. Model monitoring: data drift, degradation detection.
M6
Capstone — Production AI Product
Idea → architecture → development → deployment → monitoring. Build a live SaaS AI product accelerated by our No-Code platform. Pitch to industry panel. Resume, LinkedIn, GitHub, mock interviews — placement drive begins.
Program 04 / 05
No-Code AI Development
Duration2 Months
LevelNo coding required
Core SkillsAI Business Strategy · No-Code App Building · AI Chatbot Integration · OCR · Cloud Deployment · Go-to-Market
Tools & PlatformsNo-Code Platform · GPT APIs · OCR Tools · AWS / Azure · Zapier / Make for AI Workflows
Who is this for?Non-technical founders, business managers, product managers and domain experts who want to build and launch AI products without coding.
Capstone Outcome: Launch a complete, live business AI application — built entirely on our No-Code platform, from idea to deployed product — with no coding required. Includes a product pitch to simulated investors.
Curriculum — Module by Module
M1
AI for Business Leaders
Understanding AI without math — practical concepts for business decision-makers. What GenAI, LLMs, and AI Agents can and cannot do. AI use cases by industry: BFSI, healthcare, retail, government, logistics. AI project planning: ROI frameworks, feasibility assessment, data requirements, vendor evaluation.
M2
Building Apps on No-Code Platform
Platform walkthrough: interface, modules, and capabilities. Visual database schema design — no SQL required. Drag-and-drop UI designer for multi-screen web applications. Mobile app generation for Android and iOS. Third-party API integration: payments, SMS, email, maps, and notifications.
M3
Adding AI Intelligence to Your App
AI chatbot integration into your application. OCR and document intelligence: extract data from PDFs, images, and forms. Multilingual support for regional and global audiences. IVR and voice interface integration. IoT data display and automated alert systems. AI-powered search and recommendation engines.
M4
AI Workflows & Process Automation
Designing AI-first business workflows. Connecting apps, data, and AI using no-code automation tools. Automated reporting, notifications, and approval workflows. Integrating with existing business tools: CRM, ERP, HRMS. Building AI-powered customer service and lead generation pipelines.
M5
Launch, Go-to-Market & Capstone
One-click cloud deployment: AWS, Azure, on-premises. User management, roles, and access control. How to pitch your AI product to investors and customers. Product pricing, subscription models, and go-to-market basics. Final capstone: launch a complete, live business AI application and present to a simulated investor panel.
Program 05 / 05
AI Architect (Premium)
Duration6 Months
LevelSenior / Executive
Core SkillsAI Strategy · Enterprise LLM Systems · Multi-Agent Architecture · Data Engineering · MLOps at Scale · AI Transformation
Tools & PlatformsKubeflow · MLflow · Kafka · Delta Lake · Feast · Seldon · Private LLM Deployments
Who is this for?Senior IT professionals, technology leaders, architects, and CXOs who want to lead enterprise-scale AI transformation and design production AI systems.
Capstone Outcome: Design and present a complete enterprise AI transformation roadmap — including architecture diagrams, vendor recommendations, cost-benefit analysis, and a live product demo — to a simulated C-suite and industry panel.
Curriculum — Module by Module
M1
Enterprise AI Strategy
AI strategy frameworks: build vs. buy vs. integrate. AI governance, ethics, explainability. AI risk management. Designing AI Centers of Excellence.
M2
Advanced LLM Systems
Production LLM systems: latency, throughput, cost optimisation. Private LLM deployments (on-premises, VPC). Enterprise RAG at scale — multi-tenant, multi-domain.
M3
Multi-Agent Enterprise Systems
Agentic AI for enterprise: workflows, approvals, integrations. AI integration with CRM, ERP, HRMS, and finance. Orchestration patterns for complex multi-agent workflows.
M4
Data Engineering for AI
Data pipelines: ETL, ELT, streaming with Kafka. Data lakehouse: Delta Lake, Iceberg. Feature stores. Vector database architecture at scale.
M5
MLOps at Enterprise Scale
ML platforms on Kubernetes: Kubeflow, MLflow. A/B testing and gradual rollouts. LLMOps: monitoring for drift, hallucinations, latency. Cost governance.
M6
Enterprise Transformation Capstone
Rapid enterprise application development using No-Code AI platform. Industry-specific AI blueprints: BFSI, healthcare, government. Case studies: 70–89% development cost savings in real deployments. Final roadmap presentation to simulated board.

All programmes include: Live project builds with real industry data · Industry mentorship · Placement support · Co-branded certification · Cloud deployment experience · Weekly assessments · Hackathons & demo days

About VedaAI COE

A Complete Ecosystem — Not Just Training

VedaAI operates as a permanently embedded innovation hub inside partner colleges, covering the full spectrum from learning AI to building AI to deploying AI businesses.

🎓
AI Training & Certification
Foundation to Advanced AI programmes. GenAI, LLMs, AI Agents, MLOps. Hands-on project-based learning. Industry-certified outcomes recognised by partner colleges.
🔬
AI Product Development Lab
Build real, deployable AI products. From idea → prototype → SaaS app. Student and startup co-builds powered by our No-Code AI platform.
🏢
Enterprise AI Solutions
Custom AI for government and private sector. Loan origination systems, automation, smart dashboards. AI consulting and scalable enterprise deployments.
⚗️
Research & Innovation Hub
LLM fine-tuning and experimentation. GPU compute and dataset access. Industry use-case prototyping. Patents and publication support for student researchers.
🚀
Startup Incubation Centre
AI startup mentorship and support. Go-to-market and investor access. Pitch prep and demo days. Infrastructure, cloud credits, and network access for early-stage AI startups.
🤝
Govt & College Partnerships
Embedded COE inside partner colleges. Skill India and Digital India tie-ups. IIT Ropar and Punjab Govt collaboration. CSR and grant-funded programmes for wider access.
Industry Internship

3-Month AI Product Engineering Internship

A structured, industry-integrated internship for students who need practical experience as part of their academic curriculum. Build and deploy real AI products guided by industry mentors.

3
Months duration
10
Structured modules
3
Certificates issued
100%
Live product deployed
Month 01
Industry Foundations
Python for AI — APIs, Data Structures, Automation
Database & Backend — SQL, CRUD, Authentication
Frontend Development — HTML, CSS, React.js
Introduction to AI — ML Concepts, Use Cases
Month 02
GenAI & Full Stack Engineering
Generative AI — GPT Models, Prompt Engineering, AI APIs
Full Stack Development — React.js, Java/Spring Boot, REST APIs
AI Automation & Agents — Workflows, Enterprise Use Cases
Month 03
Live Project & Deployment
AI SaaS Development — Cloud Deployment, Security, Scalability
Live Industry Project — Team-based real AI product build
Placement Preparation — Resume, LinkedIn, GitHub, Mock Interviews

Eligible streams: CSE · IT · AI · Data Science · ECE · MCA · BCA  |  Mode: Offline / Hybrid / Online  |  Certification: Industry Internship Certificate + AI Product Engineering Certificate + Project Completion Certificate

Career Outcomes

Placement & Salary Outcomes

VedaAI graduates are equipped with real deployed products in their portfolio — the strongest signal for any AI hiring team.

Target Roles & Salary Ranges
RoleExpected Salary
AI Engineer₹8 – 18 LPA
GenAI Developer₹12 – 30 LPA
Full Stack AI Engineer₹10 – 25 LPA
AI Automation Engineer₹8 – 20 LPA
AI Architect / Tech Lead₹25 – 50 LPA
No-Code AI Product Manager₹10 – 22 LPA
What Students Build for Their Portfolio
  • AI-powered SaaS web applications — fully deployed to cloud
  • GenAI chatbots and knowledge assistants with RAG pipelines
  • Multi-agent AI automation systems for enterprise workflows
  • Full stack AI products with React.js frontend + Java/Python backend
  • AI dashboards for analytics, predictions and smart reporting
  • No-Code AI apps built and launched on our No-Code platform — zero coding required
Why VedaAI

How VedaAI Compares

VedaAI is the only Product-First, GenAI-First COE embedded inside colleges — combining depth, affordability, and real deployment outcomes.

Feature Traditional College Online Platform Other Institutes VedaAI COE
AI ExposureYear 3–4After enrolmentYear 2–3Day 1
GenAI / LLMsNoneLimitedLimitedCore Focus
Real Products BuiltNotebooks onlyMini projectsMini projectsDeployed Apps
MLOps / DeploymentNot coveredRarelyRarelyFull Stack
Speed to Job-Ready4-year programmesSelf-pacedSemester-based3–6 months
Live Industry ProjectsNoNoSomeAlways
Startup IncubationNoNoLimitedBuilt-in
Govt AlignmentStrongNoneLimitedActive + Strong
Leadership Team

The People Behind VedaAI

A global team of industry veterans, technologists, academics, and enterprise leaders — united by a shared mission to make AI education transformational.

RR
Richard Renehan
Founder & Industry Leader
Richard brings over three decades of expertise in advanced manufacturing, polymers, cleanroom systems, and healthcare innovation. As CEO of multiple U.S.-based enterprises, he has led scalable industrial growth, strategic partnerships, and technology-driven solutions across manufacturing, medical infrastructure, and emerging AI-integrated healthcare ecosystems.
Advanced ManufacturingHealthcare InnovationAI-Integrated Ecosystems🇺🇸
LinkedIn Profile →
KK
Kurt Keville
Systems Architect & HPC Expert
A veteran systems architect and high-performance computing expert with decades of experience spanning MIT, UMass, semiconductor engineering, and advanced research computing. A graduate of the United States Military Academy at West Point and MIT, Kurt leads within the MIT innovation ecosystem on next-generation AI, semiconductor, and energy-efficient computing initiatives.
MITWest PointHPC & Semiconductors🇺🇸
LinkedIn Profile →
AV
Amanpreet Singh Virk
Strategic Development Leader
A seasoned leader with over 20 years of experience across senior government, education, and strategic development roles. Co-Founder of RHG, Cambridge, Massachusetts, USA, he focuses on advancing AI-driven education, healthcare innovation, global partnerships, and next-generation institutional ecosystems connecting academia, industry, and public sector transformation.
RHG Cambridge, MAAI-Driven EducationPublic Sector🇺🇸 🇮🇳
LinkedIn Profile →
DK
Deepak Kalhan
Founder, AI & ML Expert
An AI & ML expert, fintech architect, and enterprise technology strategist with over 25 years of global experience building scalable technology platforms across financial services, telecom, aerospace, and healthcare. Founder of Apto.ai — an autonomous AI software engineering platform. Has led digital transformation for AT&T, Hewlett Packard Enterprise, Decision Resources Group, and Collins Aerospace. Recognised among India Today's Top 20 Most Inspiring Young Entrepreneurs. Active startup mentor, technology trainer, and guest speaker.
AT&T · HP EnterpriseCollins AerospaceFounder — Apto.ai🇮🇳 🇬🇧
LinkedIn Profile →
Institutional Partners

Backed by World-Class Institutions

VedaAI is built in collaboration with globally respected institutions across industry, research, and innovation — bringing international-grade expertise directly into Indian classrooms.

🏭 Renco Cooperation
Industrial & Healthcare AI Partnership
Renco Cooperation brings decades of expertise in advanced manufacturing, cleanroom systems, polymers, and AI-integrated healthcare infrastructure — providing VedaAI students with real industry contexts, live use-cases, and enterprise-grade project experience across manufacturing, medical, and industrial AI applications.
What This Means for Students
Access to real manufacturing and healthcare AI problems · Industry mentorship from senior enterprise leaders · Live project briefs from U.S.-based enterprises · Exposure to AI applications in regulated industries
🎓 MIT & UMass
Research & Innovation Ecosystem
VedaAI's collaboration with the MIT and UMass innovation ecosystem gives students access to next-generation AI, semiconductor engineering, and energy-efficient computing research. This partnership connects VedaAI's curriculum to the cutting edge of global AI research and high-performance computing.
What This Means for Students
Curriculum informed by MIT & UMass research · Access to advanced computing concepts and architectures · Exposure to the U.S. academic innovation ecosystem · Pathways to research collaboration and international networks

Government Alignment: VedaAI also actively aligns with Central and State Government initiatives including Startup India / SISFS, IndiaAI Mission, YuvAI (AICTE + MeitY), Skill India, and the Punjab Startup Policy — unlocking grant funding, GPU infrastructure access, and institutional partnerships across India.

Get in Touch

Enroll or Partner with VedaAI

Whether you're a student ready to enroll, a college looking to partner, or an enterprise seeking AI training — we'd love to hear from you.

✉️
📞
Phone
+91 6366 088 666
🌐
Website
vedaai.ai
📍
Offices
Mohali

For Colleges: Partner with VedaAI to establish an embedded AI Center of Excellence on your campus. Zero operational burden. Enhanced NAAC/AICTE ratings. Improved placement outcomes.