PG Program in AIML
In collaboration with
Format
Online
Duration
10 months
Hiring partners
1000+
Program fee
₹ 1,15,000 + GST
EMI options
Start at ₹ 11,500/month*
Scholarships
Available*
PG Program in AIML curated and co-created by industry experts from KPMG in India
Industry certification
Placement and internship support
Designed for graduate students and working professionals
One-on-One mentorship
Comprehensive career guidance
Experiential learning through industry projects
Program Curriculum
Reinforcement Learning Models (ANN, & CNN)
Reinforcement Learning Models (RNN & RBM)
NLP (Sequential) & Image Analysis using Deep Learning
Advanced Computer Vision
Audio & Video Analysis using DL
Introduction to Graph Theory & Generative Adversarial Networks
Learn industry-relevant skills and build a rewarding career
Tools and Programming Languages
Sample Certificate
What will you get at the end of the program
Who is this program for?
- Applicant have to clear the entrance test.
- Someone who understands programming and applied mathematics can build a brand-new career in the field of AIML.
- Graduates and professionals who want to step into the AIML domain.
- Graduates must have 50% or higher marks.
- Data Scientists and Data Analysts who want to revamp their data careers.
- Any professional curious enough to know and perceive the domain of AIML.
Capstone Project Examples
We transform classroom learning into real-world application concepts. Our motto is to ensure that all our students graduate from the program with industry-ready skills and hands-on experience. Check out some of our top cases for the capstone project. capstone project.
Domain – Operations
Analyse user behaviour & optimise the user workflow using a machine learning algorithm.
Outline
You will be required to implement an algorithm on user behaviour data on a web page you developed. The primary objective of this project is based on the characteristics. You need to come up with another set of guided navigation, which can lead the user if the user misses steps in a workflow consistently.
Domain – Retails and Sales
Analysis of sales data of retail stores across America using exploratory data analysis and data visualisation.
Outline
You will be analysing the superstore sales data by using technologies such as SQL for exploratory data analysis and Tableau for data visualisation.
Domain – Human Resources
Predict attrition as well as study the underlying factors causing attrition for a global technology company using data visualization and machine learning algorithms.
Outline
We will be looking at the attrition data from a global technology company to predict and analyse the attrition patterns within the firm. You will be using python primarily for data analysis and running different machine learning models for this project to arrive at the cause of attrition as well as a relevant prediction for attrition in the future.
Why choose AIML as a career?
The near future of technological advancements asserts only two names – Artificial Intelligence and Machine Learning (AIML). AIML is impacting our worlds in a way that scientists are claiming it as an achievement of paramount importance in the human world. According to Bloomberg, there was a venture capital investment of over $300 million in AIML startups in 2014 which today has bloomed into a billion dollars of investments all around the world.
The burgeoning adoption of AIML technology across the verticals and horizontals has increased the demand and scope for professionals who are skilled enough with a resolute understanding of AIML. In today’s world, AIML experts stand at the top of the technological race!
To become an AI Engineer –
- Earn an educational qualification in Computer Science, Math, IT, Finance, Statistics or Economics.
- Get your technical skills built up. You will need to have advanced knowledge of Programming languages, Statistical knowledge, Applied Mathematics, Natural Language Processing, Deep Learning and Neural Networks.
- Take up professional certifications courses with a background of Data Science, Machine Learning or Artificial Intelligence.
To become a ML Engineer –
- Earn an educational qualification in Computer Science, Math, IT, Finance, Statistics or Economics.
- Get your technical skills built up. You will need to have advanced knowledge of Programming languages, Natural Language Processing, Deep Learning and Neural Networks.
- Take up professional certifications courses with a background of Data Science, Machine Learning or Artificial Intelligence.
Artificial Intelligence and Machine Learning have been the hottest buzzwords of 2020 apart from COVID-19. AIML technology is slowly grasping roots in the world of advanced quantum computing systems, cutting-edge medical technologies, electronics and smart assistant technologies. The revenue generated by AIML hard& software reached $156.6 billion globally.
Hyperautomation is one of the fastest-growing trends in the domain of AIML. Cybersecurity is just emerging into the ways of AIML. There are a lot of possibilities waiting to take effect in the cosmos of technology. AIML is on a collision course with technological advancements in near future.
In India the average salary a fresher in AI can get is up to Rs. 6, 00,000/ per year and it hikes up to Rs. 10, 00,000/per year to 15, 00,000/per year as you keep gaining experience.
Likewise, a ML fresher gets up to Rs. 501,058 upfront salary. An expert fetches up to Rs. 19, 00,000/per year.
Industries Looking for AIML –
- Space and Aeronautics
- Finance
- Healthcare
- Defense
- Agriculture
- Education
- Energy
- IoT
Top hiring companies for AIML are –
- Qualcomm
- Apple
- IBM
- Amazon
RISE WPU Learning Outcomes
Become proficient in AIML tools & frameworks like Python libraries, Tensorflow, and Jupyter used widely.
Demonstrate your skills in Advanced Computer Vision, Sequential NLP and GANs to develop AIML projects.
Test your skills through capstone projects and internships and be industry-ready.
Apply ML concepts to build prediction models that assist in critical decision-making for businesses.
Participate in career development exercises and RISE as an AIML professional.
Attend webinars, expert sessions and guest lectures to upskill and reskill.
Experts from KPMG in India
Sankaran Venkataramani
Executive Director & Management Consultant, KPMG in India
Dr. Srijith Sreenivasan
Director, KPMG in India
Kaliappan M
Technical Director, KPMG in India
Instructors from KPMG in India
Amit Choudhary
Manager, KPMG in India
Dileesh K V
Manager Business Excellence, KPMG in India
Arun Ravi
Management Consulting, Transformation BE, KPMG in India
Swathi Krishnan R K
Assistant Manager, Business Excellence, KPMG in India
Raynette Furtado
Analyst, KPMG in India
Stephen Myaboo
Associate Consultant, KPMG in India
Kaushik Swaroop
Analyst & Advisory, KPMG in India
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As RISE, we are a technological revolution for higher education and professional certification. In collaboration with MIT World Peace University (Pune), we are more than an ed-tech portal – we are an innovative and a technology-first online campus with a mission to empower you towards lifelong transformation.
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