Course Review - Advanced Certification in Data Science and AI by IIT Madras
This advanced certification course aims at polishing an individual’s prowess as a data science expert. It includes modules built to impart the knowledge of in-demand tools spanning all sectors of AI and Data Science. The live lectures provided by the IIT Madras faculty and experts along with complex projects, give maximum support to ensure excellence in the field. It also presents a chance to strengthen the soft skills and provide assistance throughout the interview process. The course is designed to refine your career from technical as well as practical aspects.
Highlights
URL | https://intellipaat.com/advanced-certification-data-science-artificial-intelligence-iit-madras/ |
Mode of Learning | Online |
Duration | 7 Months |
Fee | Rs. 85044/- + GST |
Key Features
The Advanced Certification in Data Science and AI forks out major tools which have become a prerequisite concerning jobs in these sectors like NLP, PySpark,MLOps and many others. It is not confined to specific concepts of only Data Science. Whereas it touches upon basic concepts of Machine Learning and Deep Learning also. It provides a strong peer support using a customized online platform to keep the candidates up-to-date with the information of all ranges of career support offered, hackathons and opportunities for collaborative learning. The programme also pledges a guarantee of minimum three interviews and offers possibilities with more than 400+ hiring partners associated with the course.
Content coverage: The content is intended to give a strong structure to the fundamentals of each understudy. It caters to the needs of diverse kinds of people opting for this course by providing projects of three different levels. The preliminary ideas of Python, Data Analysis and AI are put forward which are followed by complex objectives of Data Wrangling, SQL, Story Telling, GIT and Prediction algorithms.
Mode of Learning: The programme is completely online with 400+ hours of applied learning, 50+ live sessions and 50+ projects and case studies.
Target Audience: The programme offers skills for the fledgling to expert level professionals with an aim to become leaders as Data Scientist and Artificial Intelligence Engineers.
Learning support: 218 hours of self-paced learning, one on one with industry mentors and collaborative learning opportunities with peers. It also includes profile building and interview preparation support.
Price Aid: The program offers EMIs starting at Rs. 5500 per month. However, it does not offer scholarships.
College pedigree: The programme is offered by the IIT Madras Digital Skills Academy in association with NASSCOM. IIT Madras has a strong alumni network and a history of excellence in education in placements. The college has retained the top spot in NIRF 2021 ranking, third year in a row and holds a strong resume value in terms of quality education and a pragmatic approach to problem-solving.
What makes the course unique
The curriculum provides an excellent blend of multiple streams within the Data Science and AI domains. The 50+ hands-on learning projects are the highest and most comprehensive across most seven month courses provided across domains and also specific to AI and Data Science. This lays emphasis on applied learning and a better understanding of industry-ready implementations. In today's changing landscape, Industry expects a pragmatic skill set across complementary domains and verticals. This course is the right fit to answer such questions and meet the growing demand for skills that are industry-ready and that spread across multiple domains.
Course Offering
The following points cover the major offerings by the certification.
Chief concepts which are sought-after in the domains of AI and Data Science
24x7 support provided for any challenges faced by a candidate
Cardinal soft skills training
Industry round table and 1:1 sessions with Industry experts
IIT Madras campus immersion opportunity for 2 Days.
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Key discussion points
Value Addition: Strong college pedigree, instrumental tools of Artificial Intelligence, constructive sessions with industry practitioners, soft skills development and valuable profile building possibilities.
Points to debate: No access to the alumni or alumni status offered. However, one must keep in mind that this is just a seven - month course. The programme also lacks any full scholarship offerings but compensates it with easy (EMI) payment options.
Career Options
AI consultant: The entire Artificial Intelligence domain comprises multiple streams and complementary technologies. An AI consultant must have a good understanding of all these streams and the way to implement these technologies. The consultant would begin with designing the entire data strategy to the technology and the algorithm used. This is a wide domain and professionals often specialize in one specific skill such as Deep-Learning, Speech Analytics, ML.
Data Analyst: A Data analyst is responsible for deriving meaningful insights from the given data set. The data analyst must leverage the vast repository of data and algorithms for deriving business insights and pattern discovery. They are also required to manage multiple use cases within a data platform to solve data driven problems and derive solutions to complex industry problems.
Data Engineer: A data engineer must look after the end to end data pipeline and offer solutions such as cleaning, organizing and categorizing data. Data cleansing and categorizing is a whole domain in itself which requires great expertise and experience for setting up the right strategies. A data engineer is also involved in the overall discussion of the data storage and usage architecture. They are responsible to manage data and make it readily available for various domains within the organization to be used for problem solving.
Data Administrator: A Data Administrator is responsible for managing the entire database. This database can be organization specific or domain specific. The data administrator should look after the development, operation, maintenance and scalability of the entire data ecosystem. Essential responsibilities such as data security also falls under the list of responsibilities for a data administrator. They must analyze multiple aspects of a data storage system so that the whole system remains flexible for change management and scaling.
Data Science specialist: As the amount of data grows, so does the need for a specialist who manages and designs the entire data management and implementation strategy. A Data science specialist would advise on the type of algorithms, data storage states, API absorption methodology, and continuous learning mechanisms. The role expects a professional to understand a variety of actions around data management and its use.
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