I  ·  Pillar One

The Analytical Canon.

Proven knowledge. Elite delivery.

Analytical work in complex organisations is not about speed. It is about trust. The Canon teaches professionals to build systems that produce defensible outputs — outputs that pass audit, survive scrutiny, and earn confidence from stakeholders who do not understand the method but must trust the result.

What "Canon" means
Not a syllabus. A point of view.
The Canon is the structured, rigorous foundation every serious analytical professional needs before applying AI to real organisational problems — the WHY and the WHAT. Pillar II is the HOW and BUILD.
In practice
From foundation to leadership — in four tracks.
The Canon is structured as four progressive tracks: the Foundational Track, the Applied Track, the Engineering Track, and the Leadership Track. Foundational and Leadership can each be taken independently; Engineering builds directly on Applied — from AI fluency, to applied systems, to shipping and running them, to leading AI adoption responsibly.
Analytics — what's proven → Applied Intelligence — what's emerging → Authority — what validates either

The Tracks

Four tracks from fluency to leadership.

Foundational and Leadership each stand on their own. Engineering builds directly on Applied. Every track is delivered as live online classes, 90–120 minutes each, with demonstrations, role-based examples, exercises, recordings, and downloadable concept guides.

Start with the track most relevant to your current role and goals. Foundational and Leadership can be taken independently; Applied and Engineering are best taken in sequence.

1
Foundational Track
"Understand and use modern AI confidently in daily work — without a technical background."
AI Fluency for Professionals · 12 live classes
2
Applied Track
"Understand how modern AI systems retrieve knowledge, take actions, and become dependable business workflows."
Applied AI Systems · 18 live classes
3
Engineering Track
"Know what it actually takes to ship, deploy, and run AI systems in production."
AI Infrastructure & Deployment · 11 live classes
4
Leadership Track
"Lead AI adoption responsibly, evaluate opportunities and vendors, and turn AI experimentation into measurable business value."
AI Strategy, Governance & Transformation · 9 live classes
1
Track 1 — Foundational Track

AI Fluency for Professionals

Build the confidence to understand, use, and evaluate modern AI in everyday professional work — without a technical background.

Approx. delivery12 live online classes × 90–120 minutes
ModeLive online via Microsoft Teams
Suggested learner profileWorking professionals, managers, consultants, students, career-transitioning professionals, and business owners.
AvailabilityFounding cohort underway. Next public cohort begins 22 August 2026.
  1. 1.AI, Machine Learning, and Deep Learning
  2. 2.Neural Networks, Supervised Learning, Unsupervised Learning, and Reinforcement Learning
  3. 3.Generative AI, Foundation Models, Transformers & Attention, Model Weights, and Open vs. Proprietary Models
  4. 4.Large Language Models, Small Language Models, and Multimodal AI
  5. 5.Tokens, Tokenization, Context Windows, AI Inference, and AI Reasoning
  6. 6.Context Engineering, Conversation State, Memory, Prompt Engineering, and System Prompts
  7. 7.Temperature, Top-P, Structured Outputs, Function Calling, and Tool Calling
  8. 8.Hallucinations, Grounding, Jailbreaking, Prompt Injection, and AI Guardrails
  9. 9.AI Training, Fine-Tuning, Distillation, Synthetic Data, and Zero-/Few-Shot Learning
  10. 10.AI Benchmarks, Model Cards, and RLHF
  11. 11.Voice AI, Text-to-Speech, Speech-to-Text, AI Image/Video Generation, Diffusion Models, Deepfakes, and Watermarking
  12. 12.Practical AI Workflows and Individual AI Work Plan
Enrol for August Cohort
2
Track 2 — Applied Track

Applied AI Systems

Understand how modern AI systems retrieve knowledge, take actions, connect to tools, and become dependable business workflows.

Approx. delivery18 live online classes × 90–120 minutes
ModeLive online via Microsoft Teams
Suggested learner profileGraduates of the Foundational Track, professionals working with AI projects, business analysts, operations leaders, consultants, and aspiring AI product builders.
AvailabilityNext cohort begins 5 September 2026. Direct entry welcome.
  1. 1.RAG: why AI needs trusted external knowledge, and RAG vs. fine-tuning
  2. 2.Embeddings and semantic search
  3. 3.Chunking, vector databases, vector indexing, hybrid search, and re-ranking
  4. 4.Knowledge bases, enterprise search, structured/unstructured data, and metadata
  5. 5.Knowledge graphs, graph databases, graph neural networks, and GraphRAG
  6. 6.Chatbots vs. AI agents, agentic AI, and autonomous workflows
  7. 7.Agent architecture, single-agent, multi-agent systems, orchestration, and sandboxing
  8. 8.Agent planning, routing, prompt chaining, and ReAct
  9. 9.Agent reflection, self-correction, and evaluation loops
  10. 10.Agent memory, human-in-the-loop, approvals, and safe tool use
  11. 11.Multi-agent collaboration, context caching, test-time compute, and quantization
  12. 12.APIs, REST, GraphQL, OpenAPI, JSON Schema, and MCP vs. API
  13. 13.MCP, A2A, function calling, OAuth, rate limits, and latency
  14. 14.Webhooks, SDKs, and event-driven workflows
  15. 15.Data quality, master data, pipelines, and ETL/ELT
  16. 16.AI framework patterns: LangChain, LangGraph, LlamaIndex, and others
  17. 17.Multi-agent frameworks: CrewAI, AutoGen, and Semantic Kernel
  18. 18.Capstone: design an AI workflow for a real business problem
Enrol for September Cohort
3
Track 3 — Engineering Track

AI Infrastructure & Deployment

Know what it actually takes to ship, deploy, secure, and run AI systems in production — the engineering layer underneath the systems built in the Applied Track.

Approx. delivery11 live online classes × 90–120 minutes
ModeLive online via Microsoft Teams
Suggested learner profileGraduates of the Applied Track, engineers, technical leads, and anyone responsible for deploying, scaling, or operating AI systems in production.
AvailabilityNext cohort begins 3 October 2026. Direct entry requires completion of the Applied Track.
  1. 1.Data lakes, data warehouses, and lakehouses
  2. 2.Cloud computing, GPUs, TPUs, and cloud vs. on-premises AI
  3. 3.SaaS vs. PaaS vs. IaaS, edge AI, and inference endpoints
  4. 4.Microservices, version control, and Git
  5. 5.CI/CD and DevOps for AI systems
  6. 6.Containers, Docker, Kubernetes, serverless, and AI infrastructure
  7. 7.MLOps and LLMOps
  8. 8.Observability, monitoring, and tracing
  9. 9.Workflow automation, orchestration, and business process automation
  10. 10.No-code/low-code platforms and AI pricing models
  11. 11.Capstone: map the deployment path for a real AI workflow
Enrol for October Cohort
4
Track 4 — Leadership Track

AI Strategy, Governance & Transformation

Lead AI adoption responsibly, evaluate opportunities and vendors, and turn AI experimentation into measurable business value.

Approx. delivery9 live online classes × 90–120 minutes
ModeLive online via Microsoft Teams
Suggested learner profileManagers, functional leaders, founders, transformation teams, risk/compliance professionals, and AI project sponsors.
AvailabilityNext cohort begins 7 November 2026. Direct entry welcome.
  1. 1.Responsible AI, governance, safety, and AI risk
  2. 2.AI security, privacy, shadow AI, federated learning, and differential privacy
  3. 3.Explainability, AI bias & fairness, and human oversight
  4. 4.Compliance, audit, regulations, data privacy basics, and copyright & IP
  5. 5.AI strategy, transformation, and AI operating models
  6. 6.AI ROI, build vs. buy, and vendor evaluation
  7. 7.AI product management, AI architecture, and project management
  8. 8.Change management, Agile fundamentals, and project management for AI teams
  9. 9.Capstone: create an AI adoption roadmap for a team or organisation
Enrol for November Cohort

Investment

Enrol in one, or the complete Pillar.

Launch pricing applies for early cohorts. Each track can be taken on its own, in sequence, or as the complete Pillar I bundle.

Foundational Track
AI Fluency for Professionals
₹5,999₹7,999
Launch price · later ₹7,999
Students save 25% — ₹4,499 with valid student ID
Applied Track
Applied AI Systems
₹8,999₹10,999
Launch price · later ₹10,999
Students save 25% — ₹6,749 with valid student ID
Engineering Track
AI Infrastructure & Deployment
₹7,999₹9,999
Launch price · later ₹9,999
Students save 25% — ₹5,999 with valid student ID
Leadership Track
AI Strategy, Governance & Transformation
₹6,499₹8,499
Launch price · later ₹8,499
Pillar I Complete
All four tracks, including future releases within this pillar.
₹21,999₹26,999
Launch price · later ₹26,999
Enrol in Pillar I Complete
Student Path Students Only
Foundational, Applied, and Engineering — the complete path from AI fluency to shipped systems. Valid student ID required.
₹14,999
Save ₹2,248 vs. enrolling in each separately
Enrol in Student Path

How the Canon is taught

Story. Principle. Tool.

Every subtopic in the Canon is delivered through the same three-part structure — because that is the only format that turns experience into transferable knowledge.

I.
A real case from practice
Every theme opens with a real case drawn from lived professional practice. Not hypothetical. Not simplified. Real situations, real failure modes, real decisions under pressure.
II.
One principle statement
The lesson the case teaches, distilled to a single sentence. This is the principle that belongs in the Canon — not the story, not the tool, but the transferable truth underneath them.
III.
One practical tool
A simple diagram, checklist, or framework that makes the principle actionable. Not software. Not a platform. A thinking tool — something you can apply on Monday morning with whatever systems you have today.

The foundation comes first.

Before you multiply your capability with AI, you must master the systems that capability runs on. The Analytical Canon is where that mastery begins.

Enter the Canon