Business Applications of
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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?
MLOps Deployment on
Deep Learning with
applications in NLP &
MLOps 2 & 3
MLOps Deployment on
Microsoft Azure & Google
Designing a Machine
Learning & MLOps System
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.
- 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
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.
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.
- 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.
Dr. Sid J Reddy
Dr.Sarabjot Singh Anand
University of Warwick, Founder Tatras Data Services, Sabudh Foundation
Prof. Ashish Ghosh
Domain specific projects that you will work on
Program fee structure
- Program Fee – ₹ 1,80,000/-
Early bird/ Corporate discounted price – ₹ 1,50,000/-
- Payment Installment Options
₹ 30,000/- at Registration, ₹ 75,000/- at program start and
₹ 75,000/- after 2 months of program start
- Corporate / Group Pricing
₹ 1,20,000/- early bird/ corporate discounted price (without career services)
- Special DSU student pricing
Student pricing – ₹ 1,35,000/-
- Scholarships & Discounts
Special Women Entrepreneur discount – ₹ 1,35,000/-
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