From AI Awareness to Advanced Engineering.
Three modular programs tailored to different audiences—from non-technical teams building literacy to engineering divisions building production-grade systems.
(a) AI Awareness & Foundations Program
Who is it for?
Non-technical audiences (managers, educators, decision-makers) seeking conceptual clarity on Predictive AI, GenAI, and LLMs without coding.
Curriculum Highlights
- Lecture 1: Basics of Predictive AI – AI Snake Oil
- Lecture 2: Evolution of Generative AI
- Lecture 3: Basics of LLMs – Journey of a token through LLM Architecture
(b) Enterprise Agentic AI Deployment
Who is it for?
Individuals familiar with AI basics who want to design, implement, and deploy AI Agents in real-world workflows.
Curriculum Overview
- What are AI Agents & ReAct Framework
- Inside the brain of AI Agents (LLMs)
- Agentic Frameworks: Code vs No-code
- Smolagents library
- Building multi-agent frameworks
- Agentic RAG using LlamaIndex
- LangGraph in 100 minutes
- Building agents using CrewAI
- n8n and Agentic automations
(c) Advanced AI Engineering Division Program
Who is it for?
Specialized AI/ML teams. Ideal for engineers and data scientists aiming for deep, hands-on expertise in research-level and production-grade solutions.
4-Phase Curriculum
Phase 1
Build SLM from Scratch
- Live coding SLM from scratch
- Attention mechanisms deep dive
- Capstone: Domain-specific SLM (e.g., ADAS, Finance)
Phase 2
Production RAG Systems
- Semantic search & dense retrieval
- Re-ranking & Evaluation metrics
- Capstone: Production-ready RAG on company data
Phase 3
AI Agents
- ReAct framework & Smolagents
- Multi-agent systems (CrewAI)
- n8n automations & Agentic RAG
Phase 4
Specialized Topics
- DeepSeek internals & RoPE
- Quantization strategies
- RL for reasoning (GRPO)