- The Professional Diploma in Artificial Intelligence and Machine Learning Ops (PDAIML) is a one year distance learning program designed to gain deep technical training in the areas of core artificial intelligence methods
- Understand and solve complex machine learning problems with structured and unstructured data
- Develop knowledge of business aspects that are important for solving and implementing data science solutions.
- The learning outcomes for the student will be confidence and mastery in the entire AI algorithm development (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling and evaluation)
- Competency in algorithm development and data visualization tools including R, Python and Tableau
- Hands on experience with building and applying learning to simple and complex projects involving structured and unstructured data
Professional Diploma in Artificial Intelligence and Machine Learning Ops (PDAIML)
Professional Diploma in Artificial Intelligence and Machine Learning Ops (PDAIML)
Free
Overview of the Program
Structure of the Program (Duration: 1 year)
| Sr. No. | Subjects |
|---|---|
| 1 | Foundations of Probability and Statistics for Data Science |
| 2 | Digital and Social Media Analytics |
| 3 | Business Communication and Presentation Skills for Data Analytics |
| 4 | Essential Engineering Skills in Data Analytics Using R and Python |
| Sr. No. | Subjects |
|---|---|
| 1 | The Art and Science of Storytelling with Data Visualizations |
| 2 | Statistics and Probability in Decision Modeling – 1 |
| 3 | Statistics and Probability in Decision Modeling – 2 |
| 4 | Hands-on Data Science Project 1 |
| Sr. No. | Subjects |
|---|---|
| 1 | Behavior Science and Analytics |
| 2 | Project Management |
| 3 | Methods and Algorithms in Machine Learning -1 |
| 4 | Design Thinking |
| Sr. No. | Subjects |
|---|---|
| 1 | Methods and Algorithms in Machine Learning – 2 |
| 2 | AI and Decision Science |
| 3 | Hands-on AI & ML Project 2 |
| 4 | Economics for Analysts |
Career Options
Post completion of the course, participants can advance their careers in roles as Applied Scientists, Data Scientists and Machine Learning Engineers with data driven companies like Amazon, LinkedIn, Google among many others
Eligibility of the Program
- Mid-Level experienced professionals with preferably 2 yrs. of work experience
- Engineering (B. Tech degree) or graduation in Maths / Computer Science / Statistics / Information Technology / Economics / M. Sc. Degree with Math components with minimum 50% marks at graduation level
Contact us
Call us at +918080500400 and Press 1 or mail us at nmims@halo.co.in or WhatsApp us at +918080500400
Please Note
The below mentioned Fee structure is subject to change at the discretion of the University. Any payment made via Demand Draft should be made in favour of “SVKM’s NMIMS” payable at Mumbai.
Fee Structure
- Admission Processing Fees (One time, non-refundable): INR 1,200
- Program Fee total INR 3,25,000
- Admission Processing Fees (One time, non-refundable): INR 1,200
- Program Fee per Semester INR 1,75,000
- No. of Semesters – 2
In addition to the Fees, the following Fees are applicable:
- An initial amount of Rs. 5,000/- from the program fee will be collected at the time of registration
- The University offers special incentives to our armed forces with a 20% concession on the program fee
- In addition, Students need to pay an examination fee of Rs 600/- per subject
- Now avail loan facility to pay fees for the Program even without a credit card
- EMI Facility (3, 6, 9, 12 months) available via credit cards of the following banks: HDFC Bank, ICICI Bank, Axis Bank, Citi Bank, Standard Chartered Bank, HSBC Bank, Kotak Mahindra Bank