Launchpad to Excellence: The Definitive First Step
Target CBSE Board 2027 + IIT-JEE / NEET Foundation
Batch Starts:
Tuesday, March 17, 2026
Eligibility:
Students moving to Class 10 (CBSE)
Mode:
Offline (Center) OR Online (Live CloudClass)
Why This Course? Build Aptitude Before the Pressure Hits.
Most students struggle in high school because their middle school basics (Commercial Math, Atomic Structure) are weak. We fix that now.
🏆 Olympiad Focus: We teach topics like Profit & Loss, Exponents, and Light with shortcuts and tricks used in competitive exams (IMO, NSO, NSTSE).
👨🏫 Expert Mentorship: Taught by IITians and Doctors. Exposure to high-level thinking at a young age shapes their career path.
💻 Hybrid Freedom: Attend offline or join Live from home via our CloudClass Portal. Perfect for young students to avoid travel fatigue.
🧠 Scientific Temperament: We move beyond "textbook reading" to "concept visualization."
Course Structure & Schedule
Balanced Learning. No Burnout.
We follow a 2-day schedule to ensure students have enough time for school homework and self-study while mastering advanced concepts.
Batch Details:
Batch Strength: Strictly Limited to 15 Students (Offline) / 15 Students (Online).
Schedule: Tuesday & Thursday.
Timing: 5:30 PM – 8:30 PM (Two 1.5-hour sessions per day).
Syllabus End Date: November 30, 2026.
Phase 1: Arithmetic & Science Basics (April 7 – Aug 13)
Phase 2: Algebra & Applied Science (Aug 24 – Nov 30)
Phase 3: Bridge Course (Dec 2026 – Jan 2027)
What you’ll learn on this course
Duration
6 weeks
Time
Thu & Sun: 7pm - 9pm
Course Format
Video, Quiz, Article
Study Method
Online
01
Introduction to AI and Machine Learning
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
02
Network effects and learning effects
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
03
The AI factory
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
04
The AI-first company
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
05
Ethics of AI and data
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
06
Driving organizational transformation
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
Meet The Mentors
Guided by Masters of Their Fields
Mrs. Shalmalie Sharan (B. Tech, IIT Dhanbad) Mathematics
Focus: Vedic Maths tricks & Commercial Math logic.
Dr. Sabita Khila (NEET Qualified)
Biology
Focus: Human body systems & Health.
Dr. Vikas Kashyap (NEET Qualified)
Physics
Focus: Real-world science experiments & concepts.
Dr. Kshitij Sharma (NEET Qualified)
Chemistry
Focus: Building the periodic table foundation.
Fee Structure
Choose Your Learning Mode
Both modes offer the same quality teaching, study materials, and testing platform.
- For: Students who thrive in a disciplined classroom environment.
- Total Fee: ₹45,000 + GST
- Booking Amount: ₹5,000 + GST (Non-refundable)
Installment: Remaining fee payable after batch start.
- For: Students who want premium IITian mentorship from home.
- Total Fee: ₹35,000 + GST (~22% Savings)
- Booking Amount: ₹5,000 + GST
Listen to real people, real results
Hello, I’m Jose Callion
My Story
My story is one fueled by a deep passion for unraveling the mysteries of AI, leading me to contribute to groundbreaking research and advancements in the industry.
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Beyond the classroom, I am a thought leader, continually pushing the boundaries of AI research. My dedication to ethical AI development and a forward-thinking approach sets the stage for you not only to understand the technology but also to contribute to its responsible and innovative growth.
My Experience
Brands I worked with
Now opening
Step 1
Enrollment form
Step 2
Payment
Pay via bank
- Account number: 12348765
- Account name: Jose Callion
- Bank name: HSBC Bank Canada
- Bank address: 789 EML Street Vancouver
- SWIFT: BKKBVNVXHAN
- Email: josecallion@gmail.com
Step 3
Please check our email for enrollment confirmation!
We will send you an enrollment confirmation and an invitation to our No More Class Community.
Join this community and dive into the various discussions, threads, and activities happening in the community.
Join this community and dive into the various discussions, threads, and activities happening in the community.
Secure Your Spot Today
Seats fill up fast for the April batch. We maintain a strict limit of 15 students to ensure 100% personalized attention.
Find the answers to your questions here
Is 2 days a week enough?
Yes, for Class 8, quality matters more than quantity. 6 hours of focused IITian mentorship per week is more effective than daily tuition. It prevents burnout.
Will this help with school exams?
Absolutely. We cover the entire CBSE Class 8 syllabus in depth. The “Deep Dive” topics help them solve school questions faster and more accurately.
What is the "Bridge Course"?
In December and January, after the syllabus is over, we introduce advanced concepts that link Class 8 topics to Class 9, giving students a massive head start for the next year.