MPDS-Artificial Intelligence and Deep Learning (Live Online Programme) 
Last date for registration: 07 May, 2021
End Date : 04 Sep, 2021
Overview
Registration Open for Direct Entry - AI & Deep Learning Module of MPDS Programme
The triad of machine learning, big data and artificial intelligence form the pillars of the emerging discipline of data science. Managers who lead data science teams are required to possess a sound understanding of the underlying technologies. More importantly, they must also be able to communicate the strategic benefits of their efforts to stakeholders. The field of information systems provides the appropriate frameworks to build the business case for data science initiatives, and to analyse the shifts brought about by its application.
Organizations that fail to recognize the disruptive power of data science will be rapidly left behind. While there is a threat of job loss in mechanistic settings like BPO operations, there is also a tremendous potential to innovate in environments that are conducive to analytics. For example, insurance firms have begun to offer discounts to policy holders who are willing to share data recorded by their wearable devices. The collection and processing of this unstructured data is fairly complex, and yields tangible returns to business.
The Modular Programme in Data Science (MPDS) from IIM Bangalore will empower managers and other professionals to draw from the frameworks of data science and information systems, and guide their organizations along a forward-looking trajectory. The MPDS series is designed for flexibility. Factoring in fairly tight workplace requirements, a cyclical scheduling of the modules around the year allows participants to take a staged approach towards developing knowledge and skills.
Course Content
AI & Deep Learning (9 weeks)
- The AI Landscape
- Biological origins
- Historical perspective
- Optimisation and search
- Single and multi-layer networks
- The TensorFlow platform
- CNNs and RNNs
- Natural language processing
- Generative Adversarial Networks
- Reinforcement learning
- Genetic algorithms, ant colony optimisation
- Artificial life systems
- The Future of AI
- Cases: Preferred Networks (Insead), Edge Networks (IIMB)
- Industry Talk: Speakers from AIndra, Google and Microsoft
Target Audience
Participants should have a Bachelors degree in engineering/science/commerce/arts, with mathematics as one of the core subjects.
At least 3 years of work experience is preferred. Given that programming is critical to developing a working understanding of data science, we prefer participants with strong coding skills, who are willing to embrace a variety of languages and technology platforms. Participants must dedicate serious time to assignments that will be graded. Periodic assessments shall be made via online exams.
This certificate series in data science exposes the participants to a large set of frameworks and technologies, and prepare them for data-intensive roles in retail, healthcare, marketing, supply chain management, finance, insurance and other industry sectors. The modules in the MDPS series are suitable for managers who wish to develop a programming-oriented appreciation for their individual domains. Projects drawn from their own workplace settings will help them with the assimilation of the topics
Key Benefits
- Develop a business perspective of the dynamic discipline of data science
- Gain a foundational understanding of AI & Deep Learning
- Solve computational problems using a personal laptop as well as a cluster
- Construct a business proposal for a data science initiative
- Identify ways in which organizations can inculcate data-driven decisions
Selection Process
After the completed applications are received by the EEP Office, a shortlist will be drawn up. Subsequently, the program office will reach out to the candidates, to ascertain their readiness as well as fit for the program.
The shortlisted candidates will take up online entrance test scheduled on 15 May 2021 and candidates qualifying the entrance test will be eligible for core modules of MPDS.
Online Entrance Exam Syllabus
A strong knowledge of statistics is considered foundational to data science. Following are brief areas where the candidates has to prepare for the online entrance exam.
- Python tutorial
- Descriptive statistics – variables and their visualisation, probability
- Random variables, binomial, Poisson and normal distributions
- Sampling, confidence intervals and parameter estimation
- Statistics for Business 1 - spreadsheet-driven elaboration of descriptive statistics and probability; decision-making with Bayesian logic
- Statistics for Business 2 - R programming with a business use case, random variables, binomial, Poisson and normal distributions
- Inferential statistics – hypothesis testing framework, ANOVA, chi-squared tests
- Forecasting with time series
- Linear algebra and geometry
Programme Directors
Programme Faculty
Tentative Programme Schedule
Registration opened for Direct Entry for AI & Deep Learning Module - Online Entrance Exam.
Session Timings in IST
Programme Fee
Programme Fee is INR 1,40,000 + GST (applicable rates) per participant for Domestic participants and USD 2000 per participant for International participants. To be paid on or before 21 May 2021
Please add GST at prevailing rates to the programme fee.
All enrollments are subject to review and approval by the programme director. Joining Instructions will be shared with the organization if sponsored or to the participants on selection.
Note :
The programme fee should be received at the Executive Education Office, before the programme commencement date.
In case of withdrawls, the fee will be refunded only if a request is received at least 15 days prior to the start of the programme.
If a nomination is not accepted, the fee will be refunded to the person / organization concerned.
Online Classes
MPDS sessions will be conducted over the Zoom platform. Each “week” will have 2 sessions of 90-minute duration on Friday and 4 sessions on Saturday. To overcome the problems of screen fatigue, there will be a break of 15 minutes after every 45 minutes
Any supporting textbooks will be mailed to the participant in advance. The Institute’s Learning Management System (LMS) shall be hosting cases and any additional material.
The digital mode is well-suited for data science explorations. For instance, it is easier for participants to share their screens with the instructor for further discussion and troubleshooting, as compared to performing the same tasks in the setting of a campus classroom. Recordings of the classes shall be made available to the participants on a limited use basis. On the administrative side, it is more efficient for our program offices to arrange talks and seminars from professionals who are located across the globe.
Technology requirements
Given the online orientation, participants must be equipped with the requisite level of Internet connectivity, on a 3 GB daily plan. You will be required to turn your video on! Computers must be recent and powerful, and capable of processing large volumes of data. We recommend laptop models with 8 GB RAM and at least 50 GB of free storage. From time to time, we will suggest installing software packages, most of which are free and open source. We strongly recommend using personal laptops that meet the specifications, without having to worry about restrictions on office issued laptops.
On successful completion of any of the module (ML or Big Data or AI&DeepLearning) in the programme, the sample certificate image given below -
*Certificate image for reference to potential participants only and may change at the discretion of Executive education programmes
Important Dates
|
Application Deadline for AI & Deep Learning |
14-May-21 |
|
Online Admission Test |
21-May-21 |
|
Result Announcement for Online Admission Test |
22-May-21 |
|
Course Commensement |
27-May-21 |
How to Apply
Please logon to online registration portal http://iimberpsrv.iimb.ernet.in/prod/sfeep.home for registering and applying online
Do feel free to get back to us if you should have any clarification - (M):8951281603 / lathap@iimb.ac.in