Our AI Camp is designed as the first point of contact for students to understand and experience the world of AI.
While with us, students learn of the fundamental AI concepts and get hands-on practice by building a mentor-led, socially impactful, AI projects of their own.
Want to meet the team who created this program? (click here)
You need no prior programming or CS background.
We do appreciate if you come with a curiosity about AI.
Students with any prior programming experience may also join the batch.Apply Now
Students’ Own AI Widgets : A part of this camp is learning by doing. Students will be guided to tackle the making of AI widgets.
Extended Mentor-ship Program : They can also work on their own special program/widget under the mentor-ship of an IIT Trainer after the camp as a part of our Extended Mentor-ship Program of 3 months.
Our applications remain open for only a limited time. We have exclusively planned batches of SUPER30 i.e 30 students per batch only. An institution may request/book a camp to be arranged on their premises and multiple batches may be arranged if necessary.
Price - 16,750/- + GST
Days - 2 days (Sat & Sun)
Time - 09.00 am to 05.00 pm
(Students can avail special discount while applying.)Apply Now
Our program is a completely experiential one designed specially to stimulate a holistic development, encourage curiosity and to boost the creativity of all the students participating.
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Indeed.com, the popular search engine for job listings, ranks Python in the Top 3 profitable programming languages of the world. No wonder more and more programmers are turning to this language.
Pros : Versatile, easy to learn and use, neat, readable, and well-structured.
Topics Covered : Introduction to Python, Data Types & Variables, Arrays, I/O in files, If else statements, Loops, Operators, Programming Constructs, Methods & Functions, Exception Handling.
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Data Science is widely used in the fields of health-care, banking, consultancy services, and e-commerce industries.
Pros : Versatile, highly in demand, least boring.
Topics Covered : Framing the Problem, Collecting Data, Processing for Analysis, Exploring the Data, Performing In-Depth Analysis, Communicating Result .
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