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Recommended 10-12 hrs/week7 Months
Application DeadlineNov 30, 2022
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    About the Program

    Industry Relevant Topics

    Industry Relevant Topics

    Predictive Analytics using Python, Advanced SQL, Time Series, Natural Language Processing, Data Visualization, Introduction to Time Series, Hypothesis Testing, Machine Learning, Decision Tree Models, Market Basket Analysis, Framework to AI & Business Strategy,

    Hands-on Capstone Projects

    Hands-on Capstone Projects

    Choose your own sector for the project (Tech, E-commerce, BFSI, Retail, Healthcare to name a few).

    Personalised Industry Mentorship

    Personalised Industry Mentorship

    Get mentored on the career front by an experienced professional and receive personalized feedback.

    Student Support

    Student Support

    Student support available 9 am to 9 pm via the call back option on the platform to get a response within 2 working hours. 24x7 email assistance.

    Program Overview

    Key Highlights

    Offered by a top 20 U.S. public university
    Offered by a top 20 U.S. public university
    Taught by world renowned faculty members of University of Maryland and industry experts
    Taught by world renowned faculty members of University of Maryland and industry experts
    Weekly live sessions by top academicians from University of Maryland's Robert H School of Business
    Weekly live sessions by top academicians from University of Maryland's Robert H School of Business
    Fortnightly small group coaching sessions in a group of 10 students with industry leaders
    Fortnightly small group coaching sessions in a group of 10 students with industry leaders
    Capstone project in the domain of your choice
    Capstone project in the domain of your choice
    Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling and Data-driven story telling
    Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling and Data-driven story telling
    300 hours of hands-on learning and 100+ hours of live sessions. Recommended 10-12 hours per week
    300 hours of hands-on learning and 100+ hours of live sessions. Recommended 10-12 hours per week
    Programming tools and languages such as Python, SQL, Excel and Tableau
    Programming tools and languages such as Python, SQL, Excel and Tableau
    Prior coding/programming experience required (Python preferably)
    Prior coding/programming experience required (Python preferably)

    *The United States Bureau of Labour Statistics has reported that by 2026, the demand for skilled and knowledgeable data scientists will boost leading to a 27.9% rise in employment.

    *At present, there are more than 498,000 Jobs available in Data Science and Analytics domain as per LinkedIn.

    *An experienced Data Scienctist and Machine Learning Professional earns between $ 75000 to $ 145,000.

    Professional Certificate in Machine Learning and Artificial Intelligence
    On successful completion of the program, you receive this certificate from University of Maryland's Robert H. Smith School of Business
    Professional Certificate in Machine Learning and Artificial Intelligence
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    • Showcase your certificate from a Top 20 U.S. Public university
    • Gain demonstrable hands-on skills in Machine Learning and Artificial Intelligence
    Top Skills You Will Learn
    Predictive Analytics using Python, Advanced SQL, Time Seriesview more
    Job Opportunities
    Data Scientist or Senior Data Analysts, Statistician/Mathemaview more
    Who Is This Program For?
    Designed for technical professionals with a Data Analytics bview more
    Minimum Eligibility
    Anyone with high school graduate/associate degree or above view more

    Syllabus

    Best-in-class personalized learning experience by University of Maryland faculty and industry leaders in the form of videos, cases and projects.

    Download Brochure

    Programming Languages and Tools Covered

    Global Lecturers

    Learn from Maryland Smith's leading data science faculty and industry leaders

    Syllabus

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

    Download Brochure
    4+
    Case Studies
    35+
    Live Sessions
    2
    Capstone Project
    300+
    Hours Curriculum Duration

    Machine Learning

    8 Weeks
    • Linear Regression in an Inferential Setting
    • Linear Regression in a Predictive Setting
    • Introduction to Classification: Logistic Regression
    • Classification: Performance Measures
    • Decision Trees
    • Model Selection & Practical Consideration around Modelling + KNN
    • Assignment
    • Unsupervised Learning: Clustering

    Capstone 1

    3 Weeks
    • Capstone 1/ Course Project
    • Capstone Project

    Advanced Machine Learning & Business Strategy

    11 Weeks
    • Ensemble Models: Random Forest and Boosting
    • Association Rules
    • Introduction to Deep Learning
    • Optimization of Neural Networks
    • Convolutional Neural Networks
    • RNN - I
    • RNN - II
    • NN Assignment
    • AI and Business Strategy
    • Ethics and Governance of AI

    Advanced Machine Learning II

    8 Weeks
    • Introduction to Natural Language Processing
    • Modelling on Text data
    • Deep Learning for NLP - I
    • Deep Learning for NLP - II
    • Assignment
    • Deep Learning Applications in Computer Vision
    • Time Series Modeling - I
    • Time Series Modeling - II

    Capstone 2

    3 Weeks
    • Capstone 2

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries
    • Engage in collaborative projects with student-mentor interaction
    • Benefit by learning in-person with expert mentors
    • Personalized subjective feedback on your submissions to facilitate improvement

    The upGrad Advantage

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

    Learning Support

    Learning Support
    Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalized feedbacks on improvement
    Student Support
    • Available all days 9 AM - 9 PM Local Timings. For urgent queries, use the call back option on the platform
    benefits

    Personalized Learning

    Personalized Learning
    Personalized Experience
    • Online live sessions by experts on various industry topics every fortnight
    • Get mentored by top industry experts and receive personalized feedback on your profile and career roadmap
    benefits

    Doubt Resolution

    Doubt Resolution
    Q&A Forum
    • Timely doubt resolution by peers and teaching assistants on the Q&A forum
    • Personalized feedback on assignments and case studies
    Expert Feedback
    • Personalized expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts

    Our Learners Work At

    upGrad Learner Reviews

    Admission Process

    There are 3 simple steps in the admission process which is detailed below:

    Program Fees

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    Frequently Asked Questions

    Course Curriculum

    What is the Professional Certificate in Machine Learning and Artificial Intelligence with upGrad?

    The program is an engaging yet rigorous 7-month online program designed specifically for tech and non-tech working professionals to develop practical knowledge and skills, establish a professional network, and accelerate their careers in the field of machine learning and artificial intelligence. The certification is awarded by the University of Maryland's Robert H. Smith School of Business. 
     

    What should I expect from the Professional Certificate in Machine Learning and Artificial Intelligence?

    Expect to understand formulation of artificial intelligence and machine learning problems, the actual algorithms that are used, and how data is presented to help take important business decisions. The curriculum consists of live sessions, expert coaching sessions and projects making you a skilled artificial science and machine learning professional at par with leading industry standards. 
     

    What should I NOT expect from the Professional Certificate in Machine Learning and Artificial Intelligence?

    Learners will not be able to derive the most out of the program unless they are committed and focused. It will be requiring at least 10-12 hours of time commitment per week, applying new concepts, and executing industry-relevant projects.

    Which topics are going to be covered as part of the program?

    The curriculum will consist of the following courses:

    Course 1: Pre-Program Preparatory Content
    Course 2: Data Science Toolkit
    Course 3: Statistical Analysis & Visualization
    Course 4: Machine Learning

    Course 5: Capstone I

    Course 6: Advanced Machine Learning & Business Strategy

    Course 7: Advanced Machine Learning II

    Course 8:  Capstone II

     

    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.

    Is any certification granted at the end of the program?

    Post successful completion of the program, a certificate of completion for the Professional Certificate in Machine Learning and Artificial Intelligence  would be granted from the University of Maryland's Robert H. Smith School of Business.  
     

    Time Commitment

    What is the time commitment expected for the program?

    At least 10-12 hours per week of time commitment is expected to be able to graduate from the program.

    Career Prospects and Support

    How will my doubts/questions be addressed in an online program?

    Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. Regular Q&A sessions with faculty to get clarification on conceptual doubts.

    What career prospects does this program help me with?

    Data Scientist or Senior Data Analysts: The program will familiarize you with advancements in Machine Learning and Artificial Intelligence. 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 Data Science or Machine Learning role.

     

    Statistician/Mathematician: Apart from familiarizing you with advancements in ML and AI, the program will help you understand how to define a structured approach to solve a business problem, and equip you will the right tools so that you can transition to a Machine Learning or a Data Science role.

     

    Data Engineer/Big Data Engineer: The program will establish a solid foundation of statistics, Deep Learning, 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 Developers: The program will help you create a strong foundation of statistics, deep 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.

    Refund Policy/Financials

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programs with/without prep-session component)
     

    • The student must pay applicable 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 amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor  to help you in applying and withdrawing for a refund by sending them an email with reasons listed. 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 subject to submission of the right documents from him/her in this regard.
    • Refund shall be subject to deduction of $150 processing charges and as per the conversion rate applicable.
       

    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. This deferral will be subjected to a 10% deferral fee of the total course amount + taxes if any along with the differential program fees between the two cohorts.
    • This deferral request shall be granted only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled for.
    • The deferral request will be approved once the deferral fee is paid. Until the process 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 shall be deemed as expired, and the student shall 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 till 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 to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled for.
    • The student shall have time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. In the event the student raises a refund request after the deferral window expires, the above-mentioned applicable refund policy shall apply.
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student has opted to defer to (No additional deferral fee is required to be paid).The student shall be liable to pay the differential program fees between the two cohorts, if any.

    Selection Criteria

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

    If you like finding meaningful insights from data and if you get excited by the prospect of making informed business decisions through analysis and have an analytical bend of mind, then this program is meant for you. 

    My current role does not include exposure to artificial intelligence. Does it make sense for me to opt for this program?

    Absolutely! Machine Learning and Artificial Science are becoming a necessity for all industries and are no more a choice. Hence, there is a critical demand for quality artificial and machine learning professionals and because the supply is constrained, this is one of the most lucrative career options across industries.

    What is the application process for the program and what are the timelines?

    Step 1: Complete your application 

    Step 2: Get shortlisted and receive your offer letter 

    Step 3: Reserve your seat

    Disclaimer

    upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling.