Advanced Certification in AI & ML

Learn from IIT faculty & industry mentors
18+ tools - PyTorch, LangChain, FastAPI, Docker, AWS
Foundations-first: ML, Deep Learning, LLMs & Production

Course Duration

7 months

Time Commitment

10 Hours/Week

Eligibility

12th Pass and Above

Learning Mode

Online

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3.7K+ students have already registered

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Why Choose This Course?

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 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?

Learners will develop end-to-end AI and Machine Learning expertise, progressing from Python programming and data analysis to deep learning, generative AI, and production deployment. The programme emphasises practical implementation through real-world projects, modern AI frameworks, and industry-standard development workflows.

What Will You Learn?

Toolkit

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Course Details

Duration

7 Months

Course Mode

Online

Certification

from Vishlesan i-Hub IIT Patna

Module 1: Data & Python Foundations
  • Write Python the way data professionals do — clean, structured, and reusable
  • Work with real datasets using NumPy and pandas: clean, reshape, filter, and summarise
  • Pull data from APIs and explore it visually to find patterns before modelling
  • Build the mathematical intuition — probability, stats, gradients — that makes ML click
  • Set up a professional dev environment with Git, GitHub, and notebooks discipline
Module 2: Machine Learning
  • Learn the major ML families — regression, classification, clustering, tree-based models
  • Understand model assumptions, when things go wrong, and how to fix them
  • Validate models properly so results hold up on data the model hasn't seen
  • Build end-to-end pipelines from raw data to a trained, evaluated model
  • Interpret what your model is actually doing and why it made a prediction
Module 3: Deep Learning & AI
  • Understand how neural networks learn — forward pass, loss, backpropagation, optimisers
  • Build image models using CNNs and get results faster with transfer learning
  • Work with text: clean it, embed it, and build classification models on top
  • Understand the difference between vision and language tasks and when each applies
  • Move from classical ML to deep learning knowing exactly what you're gaining and trading off
Module 4: Generative AI & LLMs
  • Understand how LLMs work — tokenisation, attention, and why they behave the way they do
  • Write prompts that produce structured, reliable outputs for real applications
  • Build RAG pipelines so models can reason over your own documents and data
  • Know when to fine-tune, when to prompt, and when RAG is the right call
  • Create simple AI agents that can use tools and complete multi-step tasks
Module 5: Production & Deployment
  • Wrap your models in a REST API and serve them as a live, callable service
  • Containerise your app with Docker so it runs the same everywhere
  • Deploy to the cloud and understand what it takes to keep a model running in production
  • Handle GenAI production realities: hallucination, latency, cost, and prompt drift
  • Version-control everything so your projects are reproducible and portfolio-ready

Projects

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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.

Computer vision
TensorFlow / PyTorch
CNN architecture
Colab GPU
Confusion-matrix analysis

DECISION OUTPUT

Trained classifier with documented confusion patterns the catalog team can route to manual review.

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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.

XGBoost
RFM feature engineering
FastAPI deployment
Model card
Ethical framing

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

Indu Joshi

Indu Joshi

Assistant Professor, IIT Mandi

Indu Joshi is an Assistant Professor at IIT Mandi and the lead researcher at the MANAS Lab, specializing in deep learning applications in biometrics, medical imaging, and computational biology. She co...

Aditya Jain

Aditya Jain

AI Expert, Data Scientist , Next Bigg Tech

Aditya Jain is a Product Leader with over 7 years of experience building and scaling user-centric solutions across EdTech, gig economy, and marketplace platforms. He has led five zero-to-one launches ...

Bhavesh Kapil

Bhavesh Kapil

PHD Scholar, Indian Institute of Technology, Mandi

Bhavesh Kapil is a PhD scholar specializing in Computer Vision, Deep Learning, and Biomedical Imaging, with a focus on developing advanced AI systems for medical applications. Their research explores ...

Siddharth Tiwari

Siddharth Tiwari

AI & robotics researcher with an M.Tech from IIT Mandi, working in autonomous navigation, SLAM, and assistive robotics.

*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.

Admission Process

1

Submit Application

Complete application form to showcase your motivation and goal

Submit Application
2

Complete Selection and Enrolment Session

Only shortlisted users can go through this session

Complete Selection and Enrolment Session
3

Start Learning

Learn from India's top educators and stand out from the crowd

Start Learning

Fee structure

Application Fee

Non-refundable.

₹100

Registration Fee

₹4,000

Program Fee

₹46,000

Total Fee

₹50,000

+Gst

Pay your Program Fee, your way

Best Value

Upfront Payment

Pay once, save more.

₹55,000

EMI via NBFC Partners

Spread the cost over 9 months.

₹7,028 /month × 9

*Inclusive of GST,
All payments are non-refundable. This policy ensures the sustained quality and provision of our services

Our NBFC Partners

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Who Is This Course For?

Perfect for aspiring entrepreneurs, innovators, and future startup leaders – no prior experience required!

  • Take your technical expertise to the next level by mastering AI and ML for impactful product development.
  • Build AI-driven products like recommendation systems or predictive models to solve business challenges.
  • Optimize product performance using Generative AI and Deep Learning techniques.

Impact

Evolve into a leader in the AI-first era and spearhead cutting-edge innovations in product development.

The future of AI & Machine Learning is here

75%

Of companies will integrate AI and ML tools to optimize their decision-making processes, improving efficiency and business outcomes.

Source: Accenture
70%

Of enterprises say AI and ML are crucial for gaining competitive advantage in business and staying ahead in the market.

Source: Deloitte Insights

""AI will be the most transformative technology of the 21st century. It will affect every industry and aspect of our lives.""

Jensen Huang
Jensen Huang, CEO at NVIDIA.

About Vishlesan i-Hub IIT Patna

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

How will Masai Help you?

How will Masai help you
1

Placement Opportunities

Get access to interview opportunities and personalized career support. Eligibility: 7+ CGPA and 65% attendance in the program.

2

Real-Time Learning Ecosystem

Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.

3

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.

FAQs

Contact Us

WhatsApp us

For any queries, you can Whatsapp us at +918792974750

Email us

For any queries, you can contact us at iitp.programs@masaischool.com

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