↗
BeginnerStart your Data & AI journey
Build the practical foundations required for modern analyst roles.
Excel & SQLPower BIPython fundamentalsStatistics & storytelling
Explore Beginner TrackCareer-ready Data, Analytics & AI education
Build the skills to work with data, create with AI, and lead change.
Structured programs for beginners, working professionals and senior leaders — from your first SQL query to enterprise AI transformation.
✓ Applied projects✓ Practitioner-led curriculum✓ Career & executive tracks
PERSONAL LEARNING OS
AI & Analytics Readiness
72%
Current pathway
Data Professional → AI-readySQLPythonMLGenAI
✦
AI Learning Advisor
Next best step: Applied Generative AI
Choose your stage
Three journeys. Different outcomes.
Each track is built around what learners at that career stage actually need to achieve.
⚙
ProfessionalAccelerate your analytics career
Build deeper technical and business capability across data science and GenAI.
Machine LearningFeature EngineeringForecasting & experimentationLLMs, RAG & AI agents
Explore Professional Track◆
ExecutiveLead in the age of AI
Make better AI investment, governance and transformation decisions.
AI StrategyBusiness cases & ROIGovernance & riskEnterprise transformation
Explore Executive TrackCapabilities
Learn the skills shaping modern business.
Browse programs by capability, career goal or transformation need.
Featured programs
View all programsPrograms built around outcomes.
Clear objectives, applied projects, practical curricula and a visible next step.
Data Analytics Foundation
Build practical capability across SQL, Power BI, Excel, statistics and business storytelling.
SQL + data queryingPower BI dashboardsBusiness analytics capstone
View Program →Professional Data Scientist
Develop end-to-end predictive modeling capability with Python, machine learning and applied AI.
Python for Data ScienceML + feature engineeringModel evaluation
View Program →AI for Business Leaders
Identify high-value AI opportunities, evaluate economics and lead responsible implementation.
AI strategy & prioritizationGovernance & responsible AITransformation business case
View Program →NEW · 6-Month Flagship Programmes
Compare all flagship programmesDeep transformation for serious career and leadership goals.
Intensive cohort experiences with live learning, mentor reviews, applied studios and enterprise-grade capstones. Proposed fees are approximately ₹5 lakh and remain editable before launch.
₹4.95 LAKH
Professional · Data ScienceData Science & AI Career Accelerator
Six months of advanced data science, machine learning, applied GenAI, MLOps and mentor-led enterprise work.
Advanced ML & experimentationGenAI for data workflowsEnterprise capstone + career lab
Explore Flagship →₹4.95 LAKH
Professional · Generative AIGenerative AI Engineering & Agentic Systems
Build reliable production LLM applications, RAG systems and agentic workflows with strong evaluation and governance.
RAG & enterprise knowledge systemsAgents, tools & orchestrationLLMOps, security & capstone
Explore Flagship →₹5.25 LAKH
Executive · AI StrategyExecutive AI Transformation & Leadership
A six-month executive journey covering AI economics, portfolio governance, operating models, responsible AI and board-level transformation.
AI portfolio & business casesGovernance, risk & operating modelBoard-ready transformation roadmap
Explore Flagship →Applied learning
Learn by solving real business problems.
The strongest learning happens when tools are connected to decisions, outcomes and real operating contexts.
Customer churn predictionCredit risk modelingSales forecastingFraud detectionGenAI knowledge assistantsExecutive AI transformation case
01Concept
02Practice
03Project
04Business impact
1
Frame the business question
Define the decision, metric and context.
2
Analyze the data
Use SQL, Python, visualization or ML.
3
Create the solution
Build a dashboard, model or AI workflow.
4
Communicate impact
Present recommendations, risks and next actions.
Free Learning Library
Trusted resources. Curated for a purpose.
Use official material from Microsoft Learn, Python, pandas, NumPy, Google ML, scikit-learn and OpenAI.
Official documentationBeginner-friendly starting pointsProfessional technical referencesAI and prompt engineering guides
Explore Free Resources →Curated, not cluttered
Free resources should build confidence, not create noise.
Every resource should answer three questions: Is it credible? Is it useful for this learner? Where does it fit in the learning path?
Personalized guidance
Not sure what to learn next?
Answer a few questions and get a recommended program plus a practical skill roadmap.
For organizations
Build Data & AI capability across your team.
Custom academies, AI literacy programs, role-based learning and executive workshops.
Executive AI workshopsRole-based capability academiesCustom industry casesTeam skill assessments
Corporate learning
Tell us what capability you want to build.
We’ll design the right learning journey for your team, seniority level and business context.
Talk to Corporate Learning →