Professional Certificate in Machine Learning and Artificial Intelligence

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. 
 

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. 
 

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.

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

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.

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.  
 

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

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: (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 INR 10,000 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.

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. 

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.

Step 1: Complete your application 

Step 2: Get shortlisted and receive your offer letter 

Step 3: Reserve your seat