Don’t Just Learn AI. Build Real, Production-Grade AI Systems
Production-Grade
AI Training Program
Empowering the next generation to build world-class AI Systems on indigenous infrastructure. Your journey to production-grade mastery starts here
Highlights of Training Program
Master the Full-Stack AI Ecosystem
Modern AI ecosystem is built by combining core AI with powerful computing, rich data, robust systems expertise (Linux platform) and scalable deployment technologies. Our program equips you with following full-stack expertise:
Foundation: Linux | Python | OOPS | SQL
Data & Infrastructure: IoT | Big Data (Apache Spark) | Distributed Systems | HPC (High Performance Computing)
Intelligence: Machine Learning | Deep Learning (CNN) | LLMs | AI Agents | AI
Concepts/Frameworks/Tools (Tensorflow, open source LLMs, vLLM, MCP, RAG, LangChain, LoRA ...).
Deployment: Edge & Cloud Computing | Docker | Kubernetes.
Learn AI by Building on Enterprise AI Infrastructure
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Get hands-on access to our dedicated on-premise AI servers powered by Data Center grade NVIDIA GPUs and high-core-count CPUs with HPC capabilities — not limited to rented cloud or local machines.
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Develop, build and optimize AI models and deploy complete AI applications using Docker and Kubernetes in a production-like environment similar to Enterprise AI companies.
Work Experience on Real AI Production Deployments
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Gain elite experience and get certified by working on one of India's largest AI wildlife deployments for Forest Department.
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Project: Wildlife Surveillance System, ~100 live units currently active.
Participants will gain hands-on experience in:
• Training and deploying AI models on edge devices for real-time wildlife detection.
• Improving model accuracy and reducing false detections.
• Analyzing AI system performance and optimizing GPU-based inference pipelines.
• Implementing AI agents to add new intelligent features to the system.
• Designing distributed inference across hybrid infrastructure (Edge + Centralized servers).
Career Opportunities
Our comprehensive curriculum prepares you for the most in-demand roles in the industry:
Data Engineer | Data Scientist | Data Analyst | AI/ML Engineer | AI Solution Engineer
A Journey for Every Learner
Our curriculum is meticulously structured to train AI enthusiasts and learners from any stream— from Engineering to Science, from foundational basics to professional mastery.
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Beginner: Master the essentials of Linux, Python and classical Machine Learning concepts. Build the core logic required to navigate the AI landscape.
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Intermediate: Dive deep into Neural Networks and CNNs. Learn to architect models using industry-standard frameworks like TensorFlow, PyTorch etc.
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Advanced: Master the cutting edge: LLMs, AI Agents, vLLM, RAG, MCP, fine tuning LLMs etc. Learn to deploy at scale using Docker, Kubernetes and Distributed Systems.
AI Across Every Domain
AIForALL
We break the myth that AI is only for Computer Science. We empower you to apply AI to your specific field of study:
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Computer Science → Smart Surveillance Systems
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Electrical → Electrical Transformer Failure Prediction
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Mechanical → Machinery Predictive Maintenance
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Chemical → Nuclear Reactor Anomaly Detection
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Biomedical → Medical Imaging & Diagnostics
Learn from Industry Veterans
Learn from industry veterans with 30+ years of combined experience at global technology leaders:
Symantec | Veritas Technologies | Cohesity | Wipro (US)
Expertise:
Linux | IoT | Big Data | Cybersecurity | Edge/Cloud | AI Infrastructure
Our Vision
Empowering the next generation to build world-class, production-grade and responsible AI ecosystems on indigenous infrastructure for the benefit of humanity.
For more details on our AI initiatives, visit our LinkedIn profile Vivek Salwaru
Why Us ?