Our IIT AI Courses Duration and Fees

IIT AI certifications typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Professional Certificate Program in Generative AI and Machine Learning

Cohort Starts: 29 Apr, 2025

11 months$2,500
Professional Certificate Course in Data Analytics and Generative AI

Cohort Starts: 5 May, 2025

11 months$2,500
Professional Certificate Course in Generative AI and Machine Learning

Cohort Starts: 7 May, 2025

11 months$2,500

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IIT AI Courses Advisors

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

    Twitter  LinkedIn
  • Ankit Virmani

    Ankit Virmani

    Data & ML Leader at Google

    Ankit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.

    Twitter  LinkedIn
  • Arijit Mitra

    Arijit Mitra

    Director and Head of Machine Learning & AI at Pegasystems

    Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.

    Twitter  LinkedIn
  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

    Twitter  LinkedIn
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IIT AI Program Learner Reviews

  • Angana Chakraborty

    Angana Chakraborty

    Research Student

    The structured course content, engaging tutorials, and expert-led lectures made learning seamless. Self-learning videos simplified complex topics, while capstone projects and assignments provided hands-on experience. Though early to measure, I’m confident this upskilling will have a positive career impact.

  • Aniruddh Gupta

    Aniruddh Gupta

    Quality Engineer Analyst

    The learning experience was truly enriching. The structured course material and hands-on activities made concepts easy to grasp and apply. The course enhanced my problem-solving skills, helping me tackle algorithmic challenges effectively. I now apply ML concepts to daily tasks, improving my workflow and efficiency.

  • Aditya Pradhan

    Aditya Pradhan

    Project Manager

    Enrolling in the course allowed me to deepen my understanding of Python and R, building on my previous knowledge of Java and SQL. The experienced mentors and classes led by IIT faculty made the learning process interactive and insightful, offering real-world industry perspectives. This has boosted my confidence and prepared me for interviews.

  • Aman Kukreti

    Aman Kukreti

    Business Process Analyst

    The generative AI & Machine Learning module was an eye opener for me. The mentor's teaching style in the weekend sessions was spot on. While there's a lot of Gen AI content online, this module stood out for its structured approach and the mentor's interactive guidance. It made learning about AI easy, even for beginners like me.

  • Logesh Venugopal

    Logesh Venugopal

    Business Excel Advisory Specialist

    The Generative AI module in my course was a revelation, covering AI fundamentals and the specifics of generative AI. It highlighted explainable AI for transparency, taught practical techniques like prompt engineering, and explained ChatGPT's mechanisms, features, and limitations, deepening my understanding of its capabilities.

  • Dhanya krishna

    Dhanya krishna

    Thank you for introducing us to Python and Data Science techniques. I appreciate the effort. All instructors were very knowledgeable and patiently answered all questions.

  • Apoorva N R

    Apoorva N R

    It has been a great learning experience so far. The entire program is very informative, and the trainers are incredibly knowledgeable. The course format is comprehensive and helps in a better understanding of the course concepts. Lab support is excellent.

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Industry Projects

  • Project 1

    MLB Digital Platform Enhancement

    Develop a backend for MLB's digital platform to manage player statistics, match schedules, and ticket bookings, and implement a report generation system to enhance performance.

    View Program
  • Project 2

    Sales Strategy Analysis

    Analyze AAL's sales data across different Australian states to identify high-revenue states and develop sales programs for underperforming states.

    View Program
  • Project 3

    Predicting Employee Attrition with Machine Learning

    Build a machine learning model to predict employee attrition by analyzing work habits and factors influencing their desire to stay with the company.

    View Program
  • Project 4

    Home Loan Data Analysis

    Develop a deep learning model to predict the likelihood of loan defaults using historical data, ensuring a secure lending process.

    View Program
  • Project 5

    ChatGPT Based Storytelling

    Design an interactive storytelling adventure using ChatGPT to create unique and engaging narratives without coding collaboratively.

    View Program
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Recommended Resources

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  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.