"The causal inference module completely changed how I think about ML. I now build models that explain why, not just what."
Arjun Mehta
ML Engineer · Bangalore
AI Research & EdTech — 100% Online
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10
Oct
Workshop on AI Evals
Sat, 10 Oct · 10:00 AM ISTNext up
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Oct
Workshop on Optimizing Agents
Sat, 17 Oct · 10:00 AM IST
24
Oct
Workshop on ML to LLM Migrations
Sat, 24 Oct · 10:00 AM IST
31
Oct
Workshop on Causal Inference
Sat, 31 Oct · 10:00 AM IST
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Workshop on AI Evals
Sat, 7 Nov · 10:00 AM IST
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LearnCore — Free & Online
A structured, self-paced AI learning platform covering Machine Learning, Causal Inference, and Generative AI. No payment required — ever.
A comprehensive end-to-end curriculum — from ML fundamentals to production Generative AI systems.
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AI Engineer — Foundation
30 Expert Session Credits
Awarded after completing 30 live expert sessions. Demonstrates foundational proficiency in Causal AI, Generative AI, and applied machine learning.
AI Engineer — Professional
60 Expert Session Credits
Awarded after completing 60 live expert sessions. Signals advanced, production-grade AI engineering skills across the full Cogxta curriculum.
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Student testimonials
"The causal inference module completely changed how I think about ML. I now build models that explain why, not just what."
Arjun Mehta
ML Engineer · Bangalore
"Cogxta is the only platform that teaches causal AI with real depth. The expert sessions were invaluable for my research."
Priya Sharma
Data Scientist · Hyderabad
"The depth of content here is unmatched. Cogxta prepared me for research-level work in causal AI."
Rahul Nair
AI Research Engineer · Chennai
"I finally understand the difference between correlation and causation — and how to act on it. Game-changer for product analytics."
Sneha Reddy
Product Data Analyst · Pune
"The Python and ML foundations combined with causal inference made this the most practical AI course I have taken."
Vikram Iyer
Senior Data Engineer · Mumbai
"Cogxta is where theory meets practice. The capstone project pushed me to build something I am genuinely proud of."
Ananya Krishnan
NLP Engineer · Bangalore
"The rigour of the causal inference curriculum is on par with top academic programmes. Highly recommended for anyone in quantitative finance."
Karthik Subramanian
Quantitative Analyst · Mumbai
"As a PM, understanding causal AI made me a much stronger partner to my data science team. This course is a must."
Divya Menon
AI Product Manager · Delhi
"The combination of ML engineering and causal theory is exactly what the industry needs. Cogxta delivers both."
Rohan Gupta
MLOps Engineer · Bangalore
"Cogxta bridges academia and industry beautifully. The expert sessions with practitioners were eye-opening."
Meera Pillai
Research Scientist · Bangalore
"The practical coding exercises and real-world projects made this course stand out from every other AI course I have tried."
Aditya Verma
Full Stack AI Developer · Noida
"I went from building dashboards to building insights. Cogxta taught me to ask why, not just what."
Kavitha Rajan
BI Analyst · Coimbatore
"Cogxta is the only course that gave me both the technical depth and the business context to advise clients on causal AI."
Siddharth Joshi
AI Consultant · Ahmedabad
"I recommend Cogxta to every data scientist on my team. The causal inference curriculum is world-class."
Pooja Agarwal
Data Science Lead · Gurgaon
"The generative AI and causal grounding modules together gave me a completely new perspective on building robust vision systems."
Nikhil Bhat
Computer Vision Engineer · Bangalore
"As an economist, I was already familiar with causal inference. Cogxta showed me how to apply it with modern ML tools — a perfect bridge."
Tanvi Shah
Economist & Data Scientist · Mumbai
"Cogxta is the only platform that takes causal AI seriously enough to teach it properly. Essential for anyone working on AI safety."
Abhishek Pandey
AI Safety Researcher · Bangalore
"I now measure marketing impact the right way — causally. Cogxta gave me the tools and confidence to challenge the status quo."
Ritu Saxena
Marketing Data Scientist · Delhi
"Understanding causal AI made me a much better platform engineer. I now build tools that data scientists actually want to use."
Suresh Kumar
Platform Engineer · Hyderabad
"As a clinician turned data scientist, Cogxta gave me the rigour to build AI tools I can trust with patient lives."
Lakshmi Narayanan
Healthcare AI Specialist · Chennai
"The generative AI module combined with causal grounding is exactly what the industry needs right now. Cogxta is ahead of the curve."
Gaurav Tiwari
Generative AI Engineer · Pune
"Cogxta gave me a completely new lens for operations research. Causal thinking is now central to how I approach every optimisation problem."
Nisha Patel
OR Analyst · Ahmedabad
"The causal AI curriculum is directly applicable to robotics. Cogxta is the bridge between academic theory and real engineering."
Harish Venkatesh
Robotics AI Engineer · Bangalore
"As someone who works in EdTech, I deeply appreciate how Cogxta has designed the learning experience. It practices what it teaches."
Deepa Chandrasekaran
EdTech Data Scientist · Bangalore
"Cogxta helped me build credit models I can defend to regulators. Causal validity is now a requirement in my team."
Rajesh Mohan
Fintech ML Engineer · Bangalore
"Causal AI is transforming climate science. Cogxta gave me the tools to contribute to this exciting frontier."
Swati Kulkarni
Climate Data Scientist · Pune
"Cogxta is the rare course that takes both the technical and ethical dimensions of AI seriously. Exactly what the field needs."
Manish Agrawal
AI Ethics Researcher · Delhi
"Cogxta gave me the technical credibility to raise funding for a causal AI startup. Investors trust founders who understand the fundamentals."
Preethi Sundaram
AI Startup Founder · Chennai
What we do
Structured self-paced learning through LearnCore (free), LearnCore Pro (₹1,999/yr), and live expert sessions — covering Causal AI and Generative AI from first principles.
Production-grade tools — Cogxta DataLens and the Cogxta Inference Engine — built for researchers and data teams working on causal inference and AI systems.
Bespoke Causal AI and Generative AI consulting for organisations building or evaluating AI systems. Engagements scoped to your research questions and timelines.
Research products
Product — DataLens
A research-grade causal discovery and visualisation tool. DataLens lets analysts and researchers map causal structures in observational data — surfacing the why behind patterns, not just correlations.
Product — Inference Engine
A modular causal inference engine designed for production AI pipelines. Plug causal reasoning into your existing ML stack — without rewriting your data infrastructure.
Case studies
A selection of research and applied AI engagements.
34% lift
E-commerce · IndiaThe challenge
A mid-size e-commerce platform needed to understand whether their recommendation engine was causing purchases or merely correlating with them — standard A/B testing was infeasible at their scale.
Our approach
We applied the Cogxta Inference Engine with a double machine learning (DML) estimator on 18 months of observational transaction data, controlling for confounders including seasonality and user cohort effects.
The result
Identified a genuine 34% causal lift from personalised recommendations, enabling the team to confidently scale the feature and reallocate ₹2.4 Cr in marketing spend.
60% faster
Legal tech · BangaloreThe challenge
A legal-tech startup was manually reviewing contracts for non-standard clauses — a process taking 4–6 hours per document and prone to inconsistency across reviewers.
Our approach
We designed a retrieval-augmented generation (RAG) pipeline using a fine-tuned LLM, grounded on the client's clause taxonomy and trained on 3,000 annotated contracts.
The result
Review time dropped from an average of 5 hours to under 2 hours per contract — a 60% reduction — with clause detection accuracy exceeding senior reviewer benchmarks on held-out test documents.
Effect Attribution
Health Care in USThe challenge
A public health research team needed to estimate the causal effect of a community nutrition intervention on Lifestyle health outcomes, controlling for socioeconomic confounders in a non-randomised study.
Our approach
We applied propensity score matching combined with sensitivity analysis using Cogxta DataLens, working directly with the research team to validate the causal DAG against domain knowledge.
The result
The analysis supported a peer-reviewed publication confirming a statistically significant causal effect, with the methodology section citing Cogxta DataLens as the primary analysis tool.
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