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Admission Process
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Admission Process
One clear path, one clear goal: your tech career.
Our admission process is simple and super fast with just 3 steps. You can start learning in the next few minutes.
Start here.
Clear Qualifier Test
You must pass the exam to confirm your seat for the program.
Complete Onboarding
Only shortlisted candidates go through the onboarding process.
Start Learning
Learn from India’s top educators and stand out from the crowd.
Qualifier Test Details
To join this program, you must clear the qualifier test on your allotted date.
Topics Covered
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Basic Mathematics
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Analytical & Logical Thinking
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Aptitude
Registration Process
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Pay ₹99 and choose your slot
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Unlock free mock test and practice before your final exam
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100% refund if you don’t qualify or if you qualify but choose not to enroll after counseling.
Things to remember
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The duration of the test is 60 minutes.
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You can take the test only once on your allotted time & slot.
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The test can only be taken on a desktop/laptop on Google chrome browser
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Fee Structure
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Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Remaining Course Fee
(non-refundable)
₹51,085
₹6,527 x 9
(months)
Total
₹55,085
(Inclusive of GST)
₹62,743
(Inclusive of GST)
(*100% refund of the qualifier test fee if you don’t qualify or if you qualify but choose not to enroll after counseling.)
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What will you learn?
This comprehensive program in Artificial Intelligence and Machine Learning takes students from foundational concepts to advanced applications. Starting with the basics of Python programming and essential mathematics, the curriculum gradually builds expertise in machine learning algorithms, deep learning, natural language processing, computer vision, and emerging AI technologies. Designed to be hands-on and industry-relevant, the program equips learners with the tools to apply AI in real-world scenarios responsibly and effectively.
The Skills You'll Gain
Python Programming
Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA)
Regression and Classification Techniques
Unsupervised Learning (Clustering, Dimensionality Reduction)
Model Evaluation and Validation
Neural Networks and Deep Learning
Natural Language Processing (NLP) and Transformers
Computer Vision and Image Processing
Agentic AI Development
Gen AI Engineering
Course Details
Course duration
9 months 3 modules
Time commitment
10 hours per week (4 hrs lectures, 2 hrs tutorials, 4 hrs practice)
A foundational course designed for beginners with little to no coding background. It introduces Python programming, essential math, and basic AI/ML concepts to build a strong base for future learning.
Example Projects
Customer Segmentation for a Retail Store
Use clustering techniques to segment customers based on purchase behavior.
Iris Species Classifier
Classify flowers into species using ML algorithms.
Meet our fabulous mentors
Dr. Sriparna Saha (Guest Lecturer)
Dept. of Computer Science and Engineering
Associate Professor @ IIT Patna
Experience
9+ yrs
Citations
52
Gaurav Kandel
Data Scientist
@ FinBox
Sriram Desai
Software Engineer
@ ByteDance
Dr. Sriparna Saha (Guest Lecturer)
Dept. of Computer Science and Engineering
Associate Professor @ IIT Patna
Experience
9+ yrs
Citations
52
Gaurav Kandel
Data Scientist
@ FinBox
Sriram Desai
Software Engineer
@ ByteDance
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Who is this course for?
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Who is this course for?
This course is ideal for students and professionals aspiring to build a career in tech, data science, or AI, regardless of their coding background. It's especially suitable for beginners, tech enthusiasts, and those looking to upskill in cutting-edge AI technologies.
College Students from any background
Tech Entrepreneurs
Absolute Beginners
Data Enthusiasts
Working Professionals
Curious Learners
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Why choose this course?
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Why choose this course?
No coding background required – beginner-friendly entry into AI/ML
Taught by IIT faculty – learn from top academic experts
Hands-on projects – apply concepts to real-world problems
Industry-relevant curriculum – covers latest tools, trends, and techniques
Career-focused outcomes – prepares you for high-demand AI/ML roles
