Ai Training

AI Intro

AI Intro, a primer on AI, is geared for the executive/ senior management team. It enables business leaders and decision makers to explore and grow functional understanding of artificial intelligence.

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AI Delivery

AI delivery is designed to demystify the delivery process and is designed for the Middle Management, who are responsible for the Data and AI/ ML delivery.

This session entails introduction to various tools and tricks including AI Canvas and Data to Insights Engagement framework.

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AI Ultimate

AI Ultimate is the hands-on AI/ ML training that has been designed for the single contributors like Business and Data Analysts, Engineers, Citizen Data Scientists & Software Developers.

It gives them a deeper understanding of AI solutions.

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Features	AI Intro	AI Delivery	AI Ultimate
Primary Goal	Define the Vision. Unlock potential, align strategy, and define ROI/Value.	Build the Solution. Hands-on coding of models, agents, and RAG apps from data to deployment.	Build the Solution. Hands-on coding of models, agents, and RAG apps from data to deployment.
Target Audience	C-Suite & Leaders (CEOs, MDs, COOs, CMOs, HR Leaders).	Middle Management (Product Owners, Project Managers, Data/Analytics Managers).	Builders & Practitioners (Developers, Data Analysts, ML Engineers, Data Engineers).
Duration	4 Hours (Half-Day).	1 Day (Two half-day sessions)	2 Days (16 Hours).
Prerequisites	None. Business context only	Understanding of projects/business processes.	Laptop with Python, VS Code, and basic analytical skills.
Key Frameworks	4-Step Strategy Framework Three-Horizon Roadmap Responsible AI Governance	AI Canvas Data-to-Insights Framework Risk & Scoping Checklists	End-to-End ML Lifecycle RAG Pipelines & Embeddings Agentic Workflows
Technical Depth	Non-Technical. Focus on business value, costs, and high-level tool awareness.	Process-Technical. Focus on lifecycles, architecture requirements, and feasibility.	Deeply Technical. 60% Hands-on labs using Python, OpenAI API, Vector DBs, and LangChain.
Key Outcomes	Strategic Roadmap High-value use case identification Governance principles	Delivery "One-Pager" Filled AI Canvas for real projects Risk mitigation plan	Working Prototypes (Chatbot, ML Model) GitHub Repositories Deployed API/App
Format	Seminar style with strategic breakout sessions.	Interactive workshop with templates and group exercises.	Immersive coding bootcamp with "follow-along" labs.