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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.

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.

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.
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