An exclusive agreement between Adi Shankara Institute of Engineering and Technology
and IBM empowers ASIET to offer six courses:

Business Analytics
This specialization introduces Business Analytics for all business professionals,
including those with no prior analytics experience. Here the student will learn about
the extensive use of statistical analysis, including explanatory and predictive
modelling and fact-based management to drive decision making.
The successful completion of this course will make the student:

Have sufficient knowledge and skills in the areas of Business Analytics, Predictive
Analytics and Social & Web Analytics etc
Obtain required skills on Advance Excel, Tableau, SPSS Modeler and R Programming
To be an IBM digital badge holder for Advanced Certificate in Business Analytics
Become employable gainfully and be productive from day one to the employer
Start the journey towards becoming a Business Analytics Professional
Artificial Intelligence/ Machine Learning
This specialization helps to gain knowledge on how Artificial Intelligence makes it
possible for machines to learn from experience, adjust to new inputs and perform
human like tasks. The audience will learn about the technologies like Machine
Learning, Deep Learning and Natural Language Processing.
The successful completion of this course will make the student:
Have sufficient knowledge and skills in the areas of Artificial Intelligence and

Machine Learning

• An IBM digital badge holder for Advanced Certificate in AI/ML
• Become employable gainfully and be productive from day one to the employer
• Start the journey towards becoming a AI/ML Professional

Blockchain
This specialization provides an overview on the Blockchain, the technologies involved
in Blockchain, the components of Blockchain and its advantages. It helps to gain
knowledge on building the Blockchain application using Hyperledger which includes
composer framework model, composer API's etc.
The successful completion of this course will make the student:

Have sufficient knowledge and skills in the areas of Blockchain, Hyperledger etc
Gain a hands-on capability on various techniques and applications of Blockchain
tools that are relevant to the industry
Obtain required skills on Python programming and Hyperledger Fabric
To be an IBM digital badge holder for Advanced Certificate in Blockchain
Become employable gainfully and be productive from day one to the employer

Cybersecurity
Cybersecurity is the technology and process designed to protect networks, devices,
programs and data from attack, damage, or unauthorized access. Cybersecurity is
also referred as information technology security. It defends the system and servers,
mobile devices, network and data from malevolent attacks.

As per World Economic Forum January 2019 report, in United States there are more
than 200,000 Cybersecurity skills requiring job vacancies. The NASSCOM recently
estimated that India alone will need 1 million Cybersecurity professionals by 2020 to
meet the demands of its rapidly growing economy. The skill gap has now become an
ever-growing mountain for its climbers, the recruiters of the Cybersecurity roles.
Raising Cybersecurity awareness is one of the main strategies of data protection and
reduces the risks of cyber-attacks. Since there is an exponential growth in a cyber-
attack, there is a need for an organization or individuals to equip themselves with
the tools and technologies to prevent these cyber-crimes.
The successful completion of this course will make the student:

• Have sufficient knowledge and skills in the areas of Information Security, Web &
• Mobile Security
• Gain a hands-on capability on various techniques and controls of cryptography and
• operations security areas the tools and applications relevant
• Obtain required skills on IBM Q-Radar, Guardium, Resilient and Maas360 etc
• To be an IBM digital badge holder for Advanced Certification in
• Cybersecurity
• Become employable gainfully and be productive from day one to the employer
• Start the journey towards becoming a CyberSecurity Professional

Data Science
Data Science is an extensive field that refers to the collection, concepts, tools and
technology that enables the evaluation, investigation and extraction of valuable
information from raw data. The main purpose is to extract the precise information
that can be utilized for multiple reasons, including decision making, development of
products, understand the trend and predicting.
The successful completion of this course will make the student: Have sufficient
knowledge and skills in the areas of

• Business Intelligence, Data Mining etc
• Gain a hands-on capability on various techniques and applications of Business
• Intelligence and Data Mining tools that are relevant to the industry
• Obtain required skills on Tableau, SPSS Modeler, R
• Programming and Power Bl and such tools
• To be an IBM digital badge holder for Advanced
• Certificate in Data Science
• Become employable gainfully and be productive from day one to the employer
• Start the journey towards becoming a Data Science Professional

Internet of Things
The Internet of Things refers to the fast-evolving network of physical objects with
internet connectivity and the communication between these objects and other
Internet-enabled devices and systems.
The successful completion of this course will make the student

• Have sufficient knowledge and skills in the areas of loT
• Gain a hands-on capability on various tools and applications of loT that are relevant to the industry
• To be an IBM digital badge holder for Advanced Certificate in loT
• Become employable gainfully and be productive from day one to the employer
• Additional Course Details:
• Each course will be of 150 hours duration and can be spaced according to the
• Delivery Plan prepared by IBM. Expected course duration will be 8 to 9 months.
• Course will contain theory, practical work and project work selected by the IBM
• Curriculum Designers (70% online Real-time delivery and 30% direct contact classes).
• IBM will provide all required software free of cost during the period of course delivery. Access will be given to cloud based systems related to course training and study.