Available Now · Self-PacedFundamentals → Advanced

Build a Production Edge AI Pipeline

EdgeAI from fundamentals to advanced, in one build. Start with raw sensor data on an ESP32 or STM32 — leave having trained, quantized, and deployed a model to a Raspberry Pi or Jetson, with live predictions running on a real dashboard.

Edge AIESP32STM32TensorFlow LiteRaspberry Pi / Jetson
Sensor data pipeline on real embedded hardware
Trained, quantized model sized for edge deployment
Live on-device inference, not cloud-dependent
Working dashboard with real-time predictions
Coming SoonIntermediate → Advanced

Build a Production RAG from Scratch

Go from raw documents to a deployed retrieval-augmented generation system — chunking, embeddings, hybrid search, and evaluation, built the way production teams actually do it.

GenAI / LLMRAGEmbeddingsHybrid SearchEvaluation
Document ingestion and chunking pipeline
Hybrid retrieval — keyword + vector search
Evaluation metrics built in, not an afterthought
Deployed API you can query end to end
Coming SoonIntermediate → Advanced

AI Agents and Agentic AI in Production

Build, deploy, and orchestrate production-grade AI agents — tool use, memory, multi-agent workflows, and guardrails, built the way real teams ship agentic systems.

GenAI / LLMAI AgentsAgentic AITool Use
Multi-step agent workflows with tool calling
Long and short-term memory patterns
Guardrails for reliable production behavior
Multi-agent orchestration, not a single prompt loop
Training a team instead?

Live corporate training, not a fixed slide deck.

Delivered to engineering teams at ISRO and Broadridge — scoped to your hardware and stack.

Explore Corporate Training