8th Aug 2026 (Sat)
7:00 PM-8:30 PM
Based on what companies are actually hiring for, not a generic syllabus.
Leave with a roadmap that stays valuable long after the session ends.
Complex concepts explained simply. No jargon. No coding experience needed.
























Commerce, Arts, Engineering, or Science. You do not need a coding background to start in Data Science and AI.
You sense that your current role won't age well against AI, and you want a practical way out.
You have scattered knowledge but no structured path, no certification, and no proof of skill.
You're comparing institutes and certificates and want clarity before spending your money.

Discover the roles companies are actively hiring for, including Data Analyst, Data Scientist, ML Engineer, AI Engineer, and Business Intelligence Analyst.

Understand how Python, SQL, Power BI, Machine Learning, Deep Learning, NLP, and Generative AI fit into today's hiring landscape.

Learn why internationally recognized certifications, hands-on projects, and industry exposure matter more than simply completing another course.

See what a hire-ready portfolio looks like, why capstone projects matter, and how resumes are shortlisted during technical hiring.

Learn how resume reviews, mock interviews, one-on-one interview preparation, placement assistance, and hiring partnerships help learners transition into Data Science & AI careers.

Whether you're a student, working professional, or career switcher, you'll leave with a clear roadmap for your next move.
-Priya Reddy
- Rajan Kapoor
- Aryan Sharma
- Nisha Patel
-Anika Singh