Batch 4 - Admissions Open
Certification in Artificial Intelligence and Machine Learning
Batch Starts
15 Jul 2026
Course Duration
9 months
Time Commitment
10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
3.4K+ students have already registered
Batch Starts
15 Jul 2026
Course Duration
9 months
Time Commitment
10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
Why Choose This Course?
Learn Like an IITian, Excel Like a Global Leader
Receive a Certificate of Completion with Vishlesan i-Hub, IIT Patna, significantly enhancing your profile's value.
Work on capstone projects designed to solve practical business challenges.
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
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 Opportunities:
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
What Will You Learn?
Begin your AI/ML journey with a beginner-friendly, industry-aligned curriculum from Vishlesan 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
- • Python programming essentials and professional environment setup.
- • Version control with Git and software engineering best practices.
- • Data analysis, cleaning, and wrangling with NumPy and Pandas.
- • Math for AI: Linear algebra, calculus, probability, and statistics.
- • End-to-end machine learning pipelines using Scikit-learn.
- • Practical AI ethics, fairness, and data privacy.
- • Advanced regression and classification techniques.
- • Tree-based algorithms: Random Forests and Gradient Boosting.
- • Unsupervised learning, clustering, and anomaly detection.
- • Neural network foundations and the PyTorch framework.
- • Model interpretability (understanding why models make decisions).
- • Model deployment using Docker and MLOps principles.
- • Computer Vision: Image recognition and object detection (YOLO).
- • Natural Language Processing: Transformers, BERT, and GPT architectures.
- • Large Language Models (LLMs): Fine-tuning (LoRA) and prompt engineering.
- • Modern AI systems: RAG, Vector Databases, and AI Agents.
- • Generative AI: Exploring GANs and Diffusion models.
- • Production patterns: Scaling, monitoring, and agent safety.
Projects
Product-Image Classifier (CNN)
Flipkart’s catalog team wants to auto-categorise product images into Apparel, Electronics, and Home. You train a small CNN on a public Indian e-commerce image dataset using free Colab GPU, push validation accuracy past 85%, and produce a confusion-matrix breakdown that names exactly which category pairs the model still fumbles — and why.
DECISION OUTPUT
Trained classifier with documented confusion patterns the catalog team can route to manual review.
Customer-Churn Predictor & API
Build a churn-prediction model for a D2C customer dataset. Engineer RFM features (recency, frequency, monetary), train a gradient-boosting classifier, deploy as a FastAPI endpoint, and write the model card — including the ethical considerations around retention targeting that any real product team will probe in your interview.
DECISION OUTPUT
A deployable churn predictor with a documented model card you can defend to a hiring panel.
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module". The project deliverables or case studies for your batch may differ, as per the decision of the Institute or Course Faculty
Meet Our Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.