Certification Program


Business Applications of
Artificial Intelligence

Get Certified from


(By preparing for the corresponding exam through career accelerator)


6 Months - 240+ hours of training

+ Campus Immersion

About     Program Highlights     Topics     Certification     Pedagogy     Faculty 

About the program

The Business Application of Artificial Intelligence program from Innosential, in association with Dayananda Sagar University, equips learners with the knowledge and expertise to navigate the impending AI and ML revolution, including AI and ML Engineer certification from Amazon, Google, and Microsoft.

Taught by experts from academia, AI geniuses who have set world-leading AI systems, and practicing data scientists, the course uses Reverse Engineer Pedagogy to give students practical and employment-ready learning along with the opportunity to implement end-to-end MLOps Lifecycle. The program offers deployment-based learning across BFSI, Retail, Healthcare, Manufacturing, Supply Chain, and Automobile industries.

Ready to transform your career?

Program Highlights

AI and ML Solutions

Gain AI and ML knowledge to select optimal models for business needs and solve industry problems.

AI Networking Forum

Learn, interact & collaborate with AI experts working at Fortune 50 companies.

ML Production Pipeline

Build end-to-end machine learning systems, implement the ML lifecycle, and deploy them to production.

Career Accelerator

Join our career accelerator program for job preparation, including mock interviews, resume prep and certification training.

Program Overview


Supervised Machine

MLOps 1

MLOps Deployment on
Amazon AWS


Deep Learning with
applications in NLP &
Vision, Text

MLOps 2 & 3

MLOps Deployment on
Microsoft Azure & Google
Cloud Platform


Unsupervised Machine

MLOps 4

Designing a Machine
Learning & MLOps System
with Kubeflow

*Gain entry to our two months Foundational Course

*For more details refer to the brochure.

Who is this program for?

IT Professionals, Software Engineers, Data and Business analysts who want to unlock new opportunities for career growth and chart a cutting-edge career path.

Recent science, technology, engineering, and mathematics (STEM) graduates and academics who want to enter the private sector and scale the positive impact of evolving technologies.

Program Prerequisites

  • A bachelor’s degree or higher in STEM fields
  • Some experience with Python, SQL, Statistics, and Calculus
  • Minimum of 2 Years of Software Engineering/Data Science Experience

*Eligibility-based exemption for the two months Foundational Course.

Get Certified

Microsoft Certified: Azure AI Engineer Associate

Amazon Certified Machine Learning Engineer

Professional Machine Learning Engineer

The unique

The Innosential Business Applications of AI program goes above and beyond the mere teaching of the AI, ML and MLOps curriculum. The Career Accelerator helps you through your certification exams and helps you get placed with top employers.

Certificate exam preparation

The program gives you free enrolment and preparation for AI and ML Engineer certification exams from Amazon, Google and Microsoft.

Technical CV and portfolio

Receive technical assistance in getting your CV industry-ready according to the accepted best practice format.

Interview preparation

Ace your big interview with the help of professionals who offer expert interview preparation and know what to expect.

The unbeatable Innosential / Dayananda Sagar University combination

The program is conducted by Innosential, in association with Dayananda Sagar University (DSU), a premier institution with a long list of accolades. Learners also gain DSU alumni status on completion of the program.

Dayananda Sagar University (DSU) is a private university recognised by the UGC.The university was established in 2014, Dayananda Sagar Institutions founded in the 60s by one such visionary, late Sri Dayananda Sagar committed to take knowledge to the people, transforms today’s students into responsible citizens and professional leaders of tomorrow. DSU created by an Act of the Karnataka State in 2014, built on this adorable legacy and inspired by its own milestones, meeting the needs of quality higher education in this part of the world.

In 2019, DSU was top-ranked in International Collegiate Programming Contest (ICPC) India Regional Finals at Kolkata.

In 2019, DSU was ranked 4th among the new universities by Karnataka Rating Framework (KSURF).

Dayananda Sagar University (DSU)

  • State Rank 4– IIRF 2022
  • Best Emerging B-Schools All India 2021 and 2022 – The Week
  • Best Emerging University 2021 – Times Business Awards
  • Leading & Most Trusted Management College of the Year 2021 – Educational Excellence Awards

NIRF Overall Data- Click here

School of Commerce & Management Studies (SCMS)

The School of Commerce & Management Studies ( SCMS ) has a large footprint at Dayananda Sagar University, Bengaluru, and worldwide, with its alums spanning the globe. The school offers full-time programs in BBA and B.Com with several specialisations. The full-time MBA program is highly regarded, and the school is consistently ranked as one of the top twenty emerging business schools in India, along with several new-age IIMs.

Innosential is an applied AI enterprise with roots at Carnegie Mellon University and featuring the world’s leading machine learning and deep learning experts in the founding team. With a combined AI experience of 200+ years at the highest level, the team has contributed to some of the most successful, trailblazing AI technologies and projects.

Innosential Technologies LLP is an organization focused on disseminating knowledge to students in a blended online and offline model with industry mentors and industry practitioners providing training in emerging disciplines such as Data Science, AI/ML, Blockchain, etc.

Innosential is on a mission to create a better world through the magic of AI. With a talented team of Indian and US-based entrepreneurs and academics leading the way, we are committed to building world-class AI intellectual capital and transforming the AI landscape for enterprises worldwide.


  • AI Enterprise from Carnegie Mellon University.
  • Founding team features world-leading AI experts.
  • Combined AI experience of 200+ years.
  • Contributed to successful AI technologies and projects.
  • Focused on disseminating knowledge to students through a blended model with industry mentors.

Our Unique Pedagogy

Our unique Reverse Engineer Pedagogy encourages learning by doing and enables practical learning in a production environment. Learners undergo the following steps that teaches them the principles and reinforces them through practical application.

Introduce a problem.

Reverse engineer the learning process of AI and ML by focussing on the application of the problem.

Introduce the nearest available dataset.

Explore the nature of data associated with the problem and explain methods of Exploratory Data Analysis.

Introduce the high-level approach to the solution.

Impart the intuition to solve a problem, design thinking, and various methods to solve an AI problem.

Introduce the algorithm.

Introduce the intuition of the algorithm. Showcase a tool or library that can solve the problem.

Deep dive into the algorithm.

The mathematical formulation and Hyperparameters of the algorithm.

Design and deployment of the solution.

Learn to Operationalize ML and deploy models in production environment on Amazon AWS SageMaker, Kubeflow, Azure ML Studio, and GCP.

Implement. Innovate. Repeat.

The learners then immerse themselves and solve a plethora of problems in the lab session with support from Teaching Assistants and Industry Experts.

Tools and technology covered.

AI, ML, Deep Learning, Natural Language Processing, Computer Vision, MLOps, and ML Pipelines

Learning outcomes of the certification program

The program is focused on deployments, applications & understanding of various techniques of AI across various verticals and horizontals of an enterprise. The student gets to deep dive into building ML systems, pipelines & solutions using various forms of AI methods – Natural Language Processing, Computer Vision, with different kinds of data (labeled, unlabeled, IoT Device data), etc.

Industry experts from Fortune 50 companies

Chirag Ahuja

Sr. Applied Scientist | OCI – Oracle Cloud Infrastructure

Bhaskarjit Sarmah

VP Data Scientist, BlackRock

Subhodeep Dey

Lead Data Scientist, JIO
Ex-Data Scientist, UnitedHealth Group

Shreyans Mehta

Chief Data Scientist, ApnaKlub,
Ex-Data Scientist, BlackRock

Message from the Dean

Professor of Strategy & Dean
SCMS, Dayananda Sagar University, Bengaluru

Dear Learners,

Greetings from Dayananda Sagar University, Bengaluru!
It is imperative for organizations to look at Artificial Intelligence through the lens of business capabilities rather than technologies. Broadly speaking, Artificial Intelligence can support three critical business needs: automating business processes, gaining insight through data analysis, and customer support and employee engagement.

It gives me immense pleasure to announce the launch of a six-month certification program titled Business Applications of Artificial Intelligence in collaboration with our program partner, Innosential. We are delighted to bring this certificate program to you, which is designed to provide you with a comprehensive understanding of the practical applications of Artificial Intelligence ( AI ) in various industries.

We have a great team of distinguished faculty members who bring decades of research, teaching experience and consulting expertise in AI. In addition, we also have faculty members invited by Innosential from Fortune 50 organizations, who will share their knowledge and insights with you, making the program even more enriching.

The program curriculum is specifically conceptualized and crafted for professionals looking to build their careers in the practical and business applications of AI in industries such as BFSI, Retail, Healthcare, Manufacturing, Supply Chain and Automobile. The program pedagogy is structured to provide a practical understanding of AI in business applications and help you gain the necessary skills to apply them in real-world scenarios.

At Dayananda Sagar University, Bengaluru, we have a legacy of providing quality education and have always strived to offer the best to our students. This program will equip you with the knowledge and skills necessary to succeed in the dynamic world of Artificial Intelligence.

We wish you all the best in your learning journey and hope this program will help you achieve your professional aspirations.

A.Nagaraj Subbarao

Message from Program Manager

Prof. Mohan Srinivasan

Professor of Global Business and IT.
Program Manager, Executive Certification SCMS, Dayananda Sagar University, Bengaluru


As the Program Manager for our upcoming certification program, I am excited to announce our partnership with Innosential in launching the Business Applications of Artificial Intelligence program.

This six-month program is designed to provide participants with an in-depth understanding of the practical applications of Artificial Intelligence in business. Our program pedagogy is focused on providing a practical understanding of AI and its real-world applications.

We take pride in offering this program to aspiring learners, at Dayananda Sagar University in Bengaluru, a prestigious institution with a track record of providing top-notch education.

Our goal is to help participants apply AI in real-world situations and achieve their professional goals. We hope this program will be a valuable addition to your learning journey, and we wish you all the best in your future endeavours.

Top Notch DSU Program Faculty

Prof. H.N. Shankar

CEO DDE:ORG, Denmark,
40 years of Data Science Experience

Prof. SaiKumar K Chandrashekar

30 years’ Data Science Experience, Alma Matter,
IIM Bangalore

Prof. Amarnath

30 years of Data Science Experience

Prof. Srinivas Iyengar

Vice President, Happiest Minds

Domain specific projects that you will work on





Supply Chain

Automobile Industries

Program Director

Dr. Sid J Reddy

Senior Staff Scientist at Google,
Ex-Principal Data Scientist at Amazon Alexa Seattle, Ex-Principal Applied Scientist at Microsoft

He Designed, developed, and contributed to dozens of AI systems used in production in a wide array of use cases and industry verticals (Health, Business Intelligence, Life Sciences, Legal Enterprise and E-commerce).

He developed text mining infrastructures from scratch at two technology startups, at the Mayo Clinic, and at Northwestern University, where he led a team of scientists, engineers, and annotators. His research is featured in over 110+ publications and submitted patents in AI (machine learning, deep learning, information retrieval, reinforcement learning, dialog systems, information extraction, summarization, and question answering).

Early bird offer and special discounts are available for Women Applicants, Entrepreneurs and Corporate/Group Enrollments.

*For more details dowload the brochure.

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