OnlineFormat
-- monthsDuration Recommended 15 hrs/week
250+Hiring Partners

    Program Overview

    Key Highlights

    Designed for Working Professionals
    Designed for Working Professionals
    25+ Case Studies and Assignments
    25+ Case Studies and Assignments
    25+ Industry Mentorship Sessions
    25+ Industry Mentorship Sessions
    IIIT Bangalore Alumni Status
    IIIT Bangalore Alumni Status
    Job Assistance with Top Firms
    Job Assistance with Top Firms

    upGrad has been instrumental in helping us find candidates with key skill sets in Data Science and Analytics
    - Val S, Director at Animaker

    animaker
    Top Skills You Will Learn
    Model Deployment, NLP, Deep Learning, Reinforcement Learningview more
    Job Opportunities
    Machine Learning Engineer, Data Scientist, AI Architect, Busview more
    Who Is This Program For?
    Engineers, Software and IT Professionals, Data Professionals
    Minimum Eligibility
    Bachelor's degree, with minimum 1 year work experience or a view more

    Programming Languages and Tools

    Post Graduate Diploma from IIIT Bangalore
    Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore.
    Post Graduate Diploma from IIIT Bangalore
    Click to zoom
    • Connect with a global network of accomplished IIIT-B Alumni
    • Widely recognised Post Graduate Diploma in Machine Learning and AI
    • Network with Machine Learning professionals across all industries

    Career Impact

    Our Hiring Partners

    Empowering learners of tomorrow

    Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

    Instructors

    Learn from India's leading Data Science faculty and industry leaders

    Syllabus

    Download Brochure
    450+
    Hours of Content
    25
    1:8 Coaching Sessions with Industry Experts
    20+
    Live Sessions

    Data Science Tool Kit

    4 Weeks
    1 Assignment
    • Introduction to Python
      6hr
    • Python for Data Science
      10hr 10min
    • Data Visualisation in Python
      5hr 5min
    • Maths for Data Science
      10hr
    • Data Analysis Using SQL
      7hr 40min
    • Advanced SQL
      9hr 10min

    Statistics and Exploratory Data Analytics

    5 Weeks
    2 Assignments
    • Analytics Problem Solving
      1hr 55min
    • Investment Case Study
      8hr 30min
    • Inferential Statistics
      12hr
    • Hypothesis Testing
      10hr 10min
    • Exploratory Data Analysis
      8hr 55min
    • EDA Case Study - Lending Club
      5hr 15min

    Machine Learning - I

    6 Weeks
    1 Assignment
    • Linear Regression
      13hr 15min
    • Assignment: Linear Regression
      6hr 15min
    • Logistic Regression
      7hr 50min
    • Naive Bayes
      7hr 15min
    • Model Selection
      4hr 45min

    Machine Learning - II

    7 Weeks
    1 Assignment
    • Advanced Regression
      9hr 50min
    • Support Vector Machine ( Optional )
      8hr
    • Tree Model
      12hr
    • Boosting
      8hr 10min
    • Model Selection - Practical Considerations
      3hr
    • Unsupervised learning: Clustering
      8hr 30min
    • Unsupervised Learning: Principal Component Analysis
      7hr 40min
    • Telecom Churn Case Study
      10hr 40min

    Natural Language Processing

    7 Weeks
    2 Assignments
    • Lexical Processing
      10hr
    • Syntactical Processing
      30hr
    • Semantic Processing
      10hr
    • Building Chatbots with RASA
      20hr

    Deep Learning

    8 Weeks
    2 Assignments
    • Intro to Neural Networks
      30hr
    • Convolutional Neural Networks
      20hr
    • Recurrent Neural Networks
      15hr
    • Neural Network Project - Gesture Recognition
      20hr

    Reinforcement Learning

    6 Weeks
    2 Assignments
    • Classical Reinforcement Learning
      11hr 10min
    • Tic Tac Toe Assignment - Classical Reinforcement Learning
      6hr 39min
    • Deep Reinforcement Learning
      11hr 55min
    • Reinforcement Learning Project
      13hr 50min

    Graphical Model ( Optional )

    4 Weeks
    1 Assignment
    • Introduction to Bayesian Methods
      20hr
    • Graphical Models
      30hr
    • Learning and Inference
      10hr

    Deployment and Capstone Projects

    6 weeks
    2 Assignments
    • Deployment
      30hr
    • 10 Capstone Projects to Choose From
      60hr

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries
    • Collaborative projects with peers
    • In-person learning with expert mentors
    • Personalised feedback to facilitate improvement

    The upGrad Advantage

    Strong hand-holding with dedicated support to help you master Machine Learning.
    benefits

    Regular 1-on-1 interaction with Industry Experts

    Regular 1-on-1 interaction with Industry Experts
    • Discussions on career growth and industry expectations
    • Feedback on project work and assignments
    benefits

    Dedicated Student Success Mentors

    Dedicated Student Success Mentors
    • Help in learning plans ensuring consistent progress
    • Resolve non-academic queries for smooth learning experience
    benefits

    Doubt Resolution on Q&A Forums & WhatsApp Groups

    Doubt Resolution on Q&A Forums & WhatsApp Groups
    • Timely doubt resolution by qualified teachers
    • Regular live Q&A sessions with experts
    benefits

    Networking with Industry Experts & Peers

    Networking with Industry Experts & Peers
    • Live sessions by industry experts on relevant topics
    • Interaction with experts and peers in online and offline events translating into new job opportunities
    benefits

    Job Placement Assistance

    Job Placement Assistance
    • Personalised resume building exercise
    • Mock interviews with our hiring experts
    • Job Interviews with 250+ hiring partners
    Career Transition Handbook
    Learn more about successful career transitions from the PG Diploma in Machine Learning by IIIT Bangalore
    Download Now

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    Frequently Asked Questions

    Program Details

    What type of learning experience should I expect?

    The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or Hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.

    How do I know if this program is right for me?

    This program is meant for you if you are a:
    Data Scientist or Senior Data Analyst: You are comfortable with data wrangling; have implemented statistical or machine learning models in the past; and have at least 2 years of work experience. You should also have some experience with R/Python/Scala.
    Statistician: You received formal education in statistics or mathematics, and have at least 2 years of work experience.
    Data Engineer/Big Data Engineer: You have at least 2 years of professional experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.
    Software Developer: You have worked on creating and deploying software/apps for at least 4 years, are comfortable with object-oriented programming, and know C/C++/Java/Python or a similar language.

    How will this Program benefit me?

    You will benefit from this Program in different ways depending on your previous professional experience.
    Data Scientist or Senior Data Analyst: The program will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.
    Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the program will teach you how to define a structured approach to solve a business problem and will equip you with the right tools so that you can transition to a Machine Learning or Data Science role
    Data Engineer/Big Data Engineer: The program will set up a solid foundation of Statistics, Machine Learning and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.
    Software Developer:The program will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.

    What can I expect out of this program?

    This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.

    Certification

    Is there any certification granted at the end of the Program?

    After you successfully complete the program, you will receive a PG Diploma in Machine Learning and AI from IIIT Bangalore.

    Selection Process

    What is the selection process for the PG Program in Machine Learning and AI?

    upGrad, IIIT-B, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to ensure that learners receive the best possible learning experience. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Machine Learning and AI.
    The applicants will have to take a selection test designed to check their mathematical and programming abilities. The applicants can skip the test if they meet the following criteria:
    Postgraduate degree in Mathematics/Statistics, with 60% marks in graduation and more than 2 years of total work experience.

    Refund Policy/Financials

    Is there any deferral or refund policy for this Program?

    Refund Policy: (Programs with prep-session component)
    • Student must pay an amount of ₹25,000 as caution money for the enrollment of the course. This will be adjustable against the total course fee payable by the student.
    • You can claim a refund for the course at any time before the cohort start date by sending an email request to your Student Mentor and Admissions Counselor with reasons listed. The prep login will be activated immediately post completion of the 'payment of the 1st block amount (caution money)' or on the 'Specified date' as communicated by upGrad. Processing fee of ₹10,000 will be levied in case refund is claimed.
    • Student has to pay the full fee within 15 days of payment of block amount or cohort start date, whichever is earlier, otherwise the admission letter will be rescinded and processing fee of ₹10,000 will be levied.
    • Once the student pays block amount, "any" refund shall be subject to deduction of ₹10,000 processing charges.
    • Any taxes paid by the student shall not be refundable, and the amount to be withheld will be higher of taxes paid or 10,000 processing fees.
    • There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
    • Refund shall be processed to an eligible student within 30 working days from the date of receipt of refund form from him/her in this regard.
    • Refund shall be subject to deduction of ₹10,000 processing charges or the GST paid, whichever is higher as mentioned above.

    Deferral Policy: (Post Program Commencement)
    • If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch.
    • A student can request for deferral only once and from the batch start date of initial batch the student enrolled for.
    • The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential program fees between the two cohorts.
    • The deferral request will be approved once the deferral fee is paid.
    • Till this is completed, the student will be assumed to be continuing in the same cohort.
    • The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the student will continue as part of the current cohort.
    • If the student completes the deferral payment, the student's login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress until that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether or not the student had submitted these grading during the initial stage.
    • The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the "last grace deadline" as communicated by upGrad.

    Deferral Policy: (Pre Program Commencement)
    • If a student, due to unavoidable circumstances is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another batch.
    • However, the student will be required to pay 50% of the total course fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
    • A student can request for deferral only once and from the batch start date of initial batch the student enrolled for.
    • The student has time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. Once the deferral window expires and the student now asks for a refund, the above-mentioned applicable refund policy will apply.
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student as opted to defer to (No additional deferral fee is required to be paid).