Master-ai-ml-dsu- blue

Certification Program

Master

Business Applications of
Artificial Intelligence

Get prepared for

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6 Months - 240+ hours of training

+ Campus Immersion

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About the program

The Business Application of Artificial Intelligence program from Innosential, in association with DSU, 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 Engineering Pedagogy to give students practical and employment-ready learning. The program offers deployment-based learning across BFSI, Retail, Healthcare, Manufacturing, Supply Chain, and Automobile industries.

Ready to transform your career?

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Program Highlights

ML/AI Solutions

Understand key ML/AI concepts & identify the best models to fit a business situation. Build solutions to leading industry problems

ML Production Pipeline

Learn to build end-to-end ML Systems and Pipeline. Master the area of MLOps by implementing the ML life cycle. Implement them in the Production environment

AI Networking Forum

Learn, interact & collaborate with AI experts working at Fortune 500 companies

Career Accelerator

Job Assurance via Career accelerator –
Mock interview, resume preparation, job interviews mock test, and certification preparation

Program Overview

MODULE 1

Supervised Machine
Learning

MLOps 1

MLOps Deployment on
Amazon AWS

MODULE 2

Deep Learning with
applications in NLP &
Vision, Text

MLOps 2 & 3

MLOps Deployment on
Microsoft Azure & Google
Cloud Platform

MODULE 3

Unsupervised Machine
Learning

MLOps 4

Designing a Machine
Learning & MLOps System
with Kubeflow

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

An educational background in STEM fields
Technical work experience
Some experience with Python, R, or SQL
Some experience with statistics and calculus
A bachelor’s degree or higher

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Enroll now

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/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.

Join our hiring network

Innosential works with select hiring partners and aims to place students in new jobs within six months of graduating. There are also internship placements available with select partners.

Interview preparation

Know what to expect when getting ready for that big interview with expert interview preparation from professionals who have been where you are.

The unbeatable Innosential / DSU combination

The program is conducted by Innosential, in association with Dayanand 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), established in 2014, is a private university recognised by the UGC. Dayananda Sagar Institutions was founded in the 1960s by Sri Dayananda Sagar. DSU is committed to taking knowledge to the people, and transforming today’s students into responsible citizens and professional leaders of tomorrow.

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

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

Dayanand Sagar University (DSU)

Ranked A+++
Leading & Most Trusted Management College of the Year 2021 – Educational Excellence Awards
Best Emerging B-Schools All India 2021 – The Week
Best Emerging University 2021 – Times Business Awards
National Rank 10 – IIRRF 2022

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 https://innosential.in/ 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

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 engineering pedagogy encourages learning by doing and enables practical learning in a production environment. Learners undergo the following steps teach them the principles and reinforces them through practical application.

Introduce a problem.

Reverse engineer the learning process of AI/NLP 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(s)

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

Deep dive into the algorithm.

The mathematical formulation. Learning process. Hyperparameters of the algorithm

Design and deployment of the solution.

Learn to operationalize language models and deploy models in a production environment on Amazon AWS Sage Maker, Kubeflow, Azure ML Studio, and GCP.

Implement. Innovate. Repeat.

Lab sessions with support from TAs and Industry experts to solve diverse problems.

Tools and technology covered

AI, ML, Deep Learning, NLP, Vision, MLOps, 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.

Faculty