Become a Data Scientist in 24 weeks without drowning in dry academics or spending years
Master Machine Learning, Deep Learning, and GenAI through story-driven intuition. Build real-world apps, deploy for free, and become a job-ready Data Science Engineer in 6 months
Key Highlights
Story-Driven Intuition
Master AI via real-world analogies, not dry math formulas.
Expert Guest Workshops
Industry experts show how they build products with their experience, and teach how you can also do it
Full Stack Framework
Connect ML models to professional UIs with FastAPI and Streamlit.
Zero-Cost Deployment
Deploy your AI apps on professional platforms with zero server costs.
Generative AI Mastery
Build custom GPTs and RAG systems to solve real business problems.
Job Assistance
From resume building to Mock interviews, we make sure you are placement-ready.
From Zero to Data Scientist Roadmap
Master the tools, the logic, and the deployment secrets to launch your AI career without the burden of expensive hosting costs or complex math.
The Foundation
Master Python and SQL using our "Story-Driven" intuition. Learn to talk to databases and handle complex data logic like a pro.
Analytical Mind
Master Statistics and EDA. Use our "Biryani Shop" method to turn raw numbers into business-shaping insights and dashboards
Predictive Power
Move from data to Machine Learning. Build models that predict the future without getting lost in dry academic math.
The Full Stack Shift
The Sigma 9R specialty. Wrap your models in APIs and build interactive web apps using API Frameworks
Generative AI & RAG
Enter the world of LLMs and LangChain. Build custom AI agents that interact with real-time data and solve complex problems.
Launching to the Web
Learn to deploy your models to production-grade environments with zero hosting costs.
Meet your Mentors
Krishnashai K V
He brings over 10+ years of experience in Software Development and Data Science Engineering, with a strong track record of building and working on real-world data systems. His approach to teaching is grounded in clarity, structure, and practical application, ensuring students develop a deep understanding rather than surface-level knowledge. By focusing on fundamentals, real-world scenarios, and disciplined problem-solving, he guides learners toward becoming dependable professionals capable of contributing meaningfully in data-driven environments.
Veda Vyas Donkada
He is a Data Scientist specializing in Natural Language Processing and Generative AI, actively working on advanced AI systems. With a strong foundation in both classical machine learning and modern AI, he brings a thoughtful and practical approach to teaching. His focus lies in simplifying complexity, emphasizing real-world application, and helping students build a solid, responsible understanding of AI. Learning from Veda offers exposure to current industry practices and prepares students to contribute effectively in evolving data and AI domains.
Check out what our stu say
“Strong focus on fundamentals and real-world problem solving helped me build confidence. Concepts were clear and practical, and the structured approach prepared me well for a professional environment.”
Uday
Capgemini
“Complex concepts were simplified with practical application. The structured learning helped me build a solid foundation and problem-solving mindset, which has been valuable in my current role.”
Yoshitha
AdventHealth
The course structure was well-organized and aligned with real-world needs. The tutors provided constant support throughout, ensuring clarity and consistency, which helped me build a strong foundation and confidence. ”
Sai Varma
NHS
A 6-Month Commitment is a Big Decision.
We know that choosing a mentor is about more than just a syllabus—it’s about trust, teaching style, and results. You shouldn't have to invest thousands of Rupees just to see if a program is right for you.
Instead of asking you to commit to 6 months today, we want you to spend 2 hours with us first in the workshop
You can download the full syllabus, but workshop will be a great place to understand everything
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