Course Review – Executive Certificate Programme in AI & ML for Managers from SPJIMR
The programme is focused on providing a comprehensive learning experience on Machine Learning and Artificial Intelligence. The entire course is covered in 8 modules and includes essential topics like visualization on tableau and business intelligence. One of the features which totally stands out for a seven - month course is the executive alumni status which comes directly from SPJIMR. The programme promises a comprehensive learning experience within multiple upcoming technologies such as Deep learning, Machine learning, AI and Visualization. There are multiple essential tools and libraries which are leveraged throughout the course. These give special insights to students, on rapidly building a solution to back data-based decision making.
Highlights
URL | https://spjimr.eruditus.com/executive-certificate-programme-in-fintech-blockchain/ |
Mode of Learning | Online |
Duration | 7 Months |
Fee | Rs. 85,000 + GST |
Key Features
The Executive Certificate Programme in AI and ML course has an excellent blend of multiple technologies which are supportive in nature and form the landscape of modern digital organizations. The programme focuses on defining a structured approach toward solving organizational problems using AI with respect to usage, cost, and viability for projects. The AI-centric approach takes center stage and grows through the eight modules to support essential skills such as visualization and business decision making. The certificate does not have Eruditus mentioned over it and comes directly from SPJIMR, with eligibility towards their executive alumni status. This adds a lot of value to one's resume and career transitioning path.
Content coverage: The program is covered in 8 modules starting from the fundamentals of AI, DL and ML and moving towards AI strategies and hands-on development. The program offers a good hands-on learning curve towards various skills and covers essential topics taught by industry experts and the faculty of SPJIMR.
Mode of Learning: The programme is taught over an online platform with the help of Eruditus, spanning 8 months and comprising three hours of live sessions once a week.
Target Audience: The program is targeting mid to senior-level professionals with at least three years of experience. Additional background in data and IT would be an add-on.
Learning support: The course supports career transitioning through support on resume building, interview preparation and placement assistance services.
Price Aid: No cost EMI option is offered along with special corporate enrolment. However, the program does not offer any fully paid scholarships.
College pedigree: SPJIMR holds a strong alumni network across India and globally. SPJIMR also has been consistently ranked among the top institutions in India by several ranking agencies.
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What makes the course unique
The eight modules are focused to provide a holistic learning experience within AI including other supporting fields such as DL, ML and visualization. There is a special focus on the application of these technologies so that a candidate gets to actually put his knowledge to use, through solving case studies. The program offers most of its learning through online live webinars of 3hrs on the weekends and is less reliant on recorded sessions which makes it stand out in terms of actual online learning. Alumni status is a big add-on for just a seven month course which includes access to multiple peer networking opportunities during and after the course.
Course Offering
The following points cover the major offerings by the certification.
Focused on the ongoing digital transformation and disruption in the digital landscape using technologies such as AI, DL and ML.
Develop a culture of data-backed business decision-making, by leveraging the cognitive capabilities of AI for precision and reliability.
Discover the benefits of analytics and visualization along with its applications in the industry.
Define a structured methodology towards solving business problems using AI and ML tools with respect to usage, cost and feasibility for products and services.
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Key discussion points
Value Addition: offering of alumni status, special discounted corporate pricing, program totally taught through live sessions, and career support.
Points to debate: Lack of fully funded scholarships and clarity towards the case studies or capstone project covered during the course of the program.
Career Options
AI consultant: An AI consultant must understand the entire AI landscape along with its complementary technologies such as analytics, Deep Learning and Machine Learning. They would need to act as a bridge between the technical and the functional teams to map use cases to multiple problem-solving services that are built on the enterprise platform, leveraging data.
Data Analyst: A Data analyst must analyze patterns and leverage data to solve complex business problems. Their profile is divided into two major responsibilities, the first one focuses on analyzing data and discovering new emerging patterns. The other part of their responsibilities is to use the data available to address multiple use cases and business problems and apply data-backed decision-making at a business level.
Data Scientist: A data scientist must understand, set up and manage the entire data pipeline. They are involved in the discussion to set up the entire data architecture and they are responsible to use multiple algorithms at their disposal to address a business problem. Data engineers who clean and catalog the data are also dependent on a Data scientist to manage the entire data cataloging activity in an effective manner.
AI Developer: AI developer acts as a bridge to solve multiple business problems which can be addressed using AI. Data forms the backbone of AI and hence it is imperative an AI developer must understand data management and analytics as well. Machine Learning and analytics often overlap on multiple accounts while solving business problems and hence a developer in this domain must hold skills across verticals such as AI, ML and Data.
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