Artificial Intelligence and
Machine Learning by Vishlesan i-Hub, IIT Patna
Artificial Intelligence and
Machine Learning by
Vishlesan i-Hub, IIT Patna
- Get certified by Vishlesan i-Hub, IIT Patna to fast-track your AI ML career
- Unlock placement opportunities with expert-led career support and guidance
- Master 12+ industry tools through 10+ real-world Al projects guided by experts
Qualifier Test Date
20 July, 2025
Course Duration
9 Months
Time Commitment
8-10 Hrs/ week
Available Seats/ Cohort
250
Eligibility
Beginner Friendly
Learning Mode
Online
Qualifier Test Date
20 July, 2025
Course Duration
9 Months
Time Commitment
8-10 Hrs/ week
Available Seats/ Cohort
250
Eligibility
Beginner Friendly
Learning Mode
Online
The future of AI & Machine Learning is here
"AI will be the most transformative technology of the 21st century. It will affect every industry and aspect of our lives."
(CEO at NVIDIA)
"The pace of progress in artificial intelligence is incredibly fast."
(Founder of Amazon)
About IIT Patna Vishlesan iHuB
- National Innovation Hub: Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security.
- Premier Technical Institute: IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.
- Strong Industry & Research Ecosystem: With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling 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
- • Logical reasoning
- • Quantitative Aptitude
- • Basic Maths
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
- • 100% refund of the qualifier test fee, if you don’t qualify or if you qualify but choose not to enroll after counseling.
Things to Remember
- • The duration of the test is 60 minutes
- • You can take the test only once at your allotted time & slot.
- • The test can only be taken on a desktop/laptop on Google Chrome browser
Fee Structure
Qualifier Test Fee*
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Remaining Program Fee
(non-refundable)
₹61,000
₹7,456 x 9 months
Total
₹65,000
(inclusive of GST)
₹71,104
(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.)
Our NBFC Partners
Who is this course for?
Perfect for aspiring entrepreneurs, innovators, and future startup leaders – no prior experience required!
Why choose this Program?
Learn Like an IITian, Excel Like a Global Leader
Prestigious Certification:
Receive a Certificate of Completion with Vishlesan i-Hub, IIT Patna, significantly enhancing your profile’s value.
Real-World Capstone Project:
Work on capstone projects designed to solve practical business challenges.
Expert Faculty & Industry Insights:
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement Assistance:
Get comprehensive placement support from Masai School for students with a 7 CGPA and above.
How is the Artificial Intelligence and Machine Learning With Vishleshan iHUB, IIT Patna Different?
How is the Artificial Intelligence and Machine Learning With Vishleshan iHUB, IIT Patna Different?
This Program
Other Program
Certification
Earn a prestigious certificate from Vishlesan i-HUB IIT Patna, enhancing your career credentials.
Certifications often lack industry recognition and don’t carry the same weight as those from top institutions.
Hands-on Projects
Work on real-world AI models in areas like customer segmentation, image classification, and NLP.
Minimal hands-on work with limited industry-specific applications of AI and machine learning tools.
Job Readiness and Portfolio Building
Build a strong AI portfolio that showcases your skills in solving complex business problems using AI/ML.
Limited portfolio building support with few opportunities for hands-on application.
Industry-Relevant Skills
Master cutting-edge AI/ML techniques, including deep learning, computer vision, and natural language processing.
Curriculum may focus on theoretical knowledge, lacking hands-on exposure to the latest AI/ML tools and techniques.
Networking Opportunities
Connect with industry leaders and mentors who provide valuable insights to help advance your AI career.
Limited access to industry professionals and mentors for networking and career growth.
Placement Assistance
Exclusive placement support for students with CGPA above 7, ensuring you are guided to top AI/ML roles.
Limited placement services, often requiring students to navigate the job market on their own.
Features
This Program
Other Institutes
What Will You Learn?
Begin your AI/ML journey with a beginner-friendly, industry-aligned curriculum from Vishleshan I-Hub, IIT Patna. Covering everything from Python basics to advanced topics like deep learning and generative AI, the program builds real-world skills through hands-on projects and expert-led learning.
Toolkit
Course Details
Duration
9 Months
Course Mode
Online
Certification
From Vishlesan i-Hub IIT Patna
Module-1: AIM101 – Introduction to AI and ML for Beginners
- Fundamentals of Computing and Python Basics : Introduction to programming concepts, setting up a development environment (e.g., Jupyter Notebooks).
- Essential Mathematics for AI/ML : Basic linear algebra, calculus, probability, and statistics.
- Data Representation and Visualization : Using Pandas for data manipulation and Matplotlib for data visualization.
- Core AI Concepts and History : Defining AI, early developments, key breakthroughs in AI and ML.
- Introduction to Machine Learning : Understanding AI vs. ML, supervised vs. unsupervised learning, basic Python examples.
- Data Collection and Cleaning : Techniques for gathering and cleaning data for analysis.
Module-2: AIM201 – Core Machine Learning Techniques and Practices
- Exploratory Data Analysis (EDA) : Summarizing data, identifying patterns, and performing basic statistical tests.
- Basic Regression and Classification : Understanding and implementing linear regression and nearest neighbor classification.
- Evaluation Metrics and Model Validation : Applying train/test split, accuracy, RMSE, and cross-validation.
- Intro to Ethical AI : Addressing bias in data and responsible AI usage.
- Case Studies : Real-world applications of AI in healthcare, finance, and education.
- Recap of Machine Learning Workflow : Data preprocessing, feature engineering, model training, and evaluation.
- Regression Techniques : Multiple linear regression, polynomial regression, and regularization.
- Classification Algorithms : Logistic regression, decision trees, and ensemble methods.
- Advanced Unsupervised Learning : Clustering, dimensionality reduction, and anomaly detection.
- Neural Network Fundamentals : Perceptrons, activation functions, feed-forward networks, and backpropagation.
- Model Evaluation and Metrics : Precision, recall, F1-score, confusion matrix, and AUC-ROC.
- Techniques for Overcoming Overfitting : Regularization, dropout, data augmentation, and early stopping.
- Hyperparameter Tuning : Grid search, random search, and Bayesian optimization.
- Practical ML Pipeline Development : Building end-to-end ML pipelines and MLOps basics.
Module-3:AIM301 – Advanced AI: Deep Learning, NLP, and Emerging Trends
- Deep Learning Architectures : Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and sequence models.
- Advanced Neural Network Topics : Batch normalization, residual networks, and transfer learning techniques.
- Natural Language Processing (NLP) : Text preprocessing, word embeddings, and sequence-to-sequence models.
- Transformers and Language Models : BERT, GPT, attention mechanisms, and fine-tuning for tasks like text classification and summarization.
- Computer Vision Beyond Basics : Object detection, image segmentation, and pretrained models.
- Reinforcement Learning Foundations : Markov Decision Processes (MDPs), Q-learning, and policy gradients.
- Generative Models : GANs, autoencoders, and their applications in AI.
- Large-Scale Data Processing and Deployment : Distributed computing, cloud-based AI platforms, and Docker containerization.
- AutoML and Advanced Hyperparameter Tuning : Automated feature engineering and advanced search strategies.
- Frontiers of AI and Research Directions : Ethical AI, fairness in large models, AI governance, and current AI research trends.
- Capstone Project / Research Work : Integration of multiple advanced AI techniques to develop a robust AI solution.
How will Masai Help you?
Placement Opportunities
Get assured interviews and personalized career support, including resume preparation and mock interviews. Eligibility: 7 CGPA in the program
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
Industry Integration and Projects
Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.
How will Masai Help you?
Placement Opportunities
Get assured interviews and personalized career support, including resume preparation and mock interviews. Eligibility: 7 CGPA in the program
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
Industry Integration and Projects
Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.
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