Businesses worldwide are outsourcing many of their activities to Machine Learning and Artificial Intelligence. From robotics, big data, to virtual digital assistants, ML and AI are changing how we act, interact, and conduct business. Recently, it was noted in a study that AI technology can enhance business productivity by up to 40%. Fittingly, data analytics, AI and ML have emerged as the most in-demand skills in India with enhanced hiring, according to Economic Times, 2022. As business organisations converge in their belief that AI will enhance their competitive advantage, they need skilled talent.
To help you make the most out of data science and ML’s exponential potential for automation, effective decision-making, and competitive advantage, the Indian Institute of Technology Delhi (IIT Delhi) has conceptualised the six-month live online Certificate Programme in Data Science & Machine Learning. This programme is organised into five modules such as
- Data Science Essentials
- Statistics for Data Science
- Optimisation for Machine Learning
- Machine Learning
- Deep Learning
Renowned IIT Delhi faculty is teaching this programme. Drawing on their years of expertise and immersive industry-oriented learning pedagogy, this programme will take you a step closer to build robust predictive and prescriptive models with hands-on experience in ML algorithms and statistical models. Guided by this data-driven approach, you will learn how to extract value, multiply your business growth, and increase professional competence.
Who will most benefit from this programme?
The benefits of using AI and ML cut across sectors and industries. From heavy industries, e-commerce to healthcare, gathering practical skills can help you explore limitless possibilities, rewire decision making and achieve superior growth and performance.
Therefore, whether you’re an early or mid-level professional, this programme will expand your knowledge while introducing you to live, immersive online learning through a mix of lectures, tutorials using data, hands-on experience with tools like Python, and real-world case study discussions. Through exposure to statistics for data science, optimisation formulations with ML, deep learning, and storytelling with data, this programme will offer you a relevant and cutting-edge perspective on data science and ML to improve your career prospects. Senior professionals, software development professionals who oversee machine learning projects will also imbibe a data-driven decision-making approach. They will also learn to apply data science and ML to enhance their business growth.
Taught at one of India’s leading engineering schools, this programme has benefitted professionals from 4 to 15+ years of experience in fields like IT, Manufacturing to consulting. “It will give me more confidence in going ahead and working on projects in data science. For beginners wanting to do this course, my advice would be to learn at least the basics of data science like Python fundamentals, Engineering Mathematics, Statistics to make full use of the course as this is in-depth,” Upasna (Consultant, Capgemini) one of the participants in the programme, said.
Scale up with ML and AI
According to Boston Consulting Group, companies that have scaled AI across the business and achieved meaningful value from their investments—typically dedicate 10% of their AI investment to algorithms, 20% to technologies, and 70% to embedding AI into business processes and agile ways of working. This means that companies maintain a keen focus on hiring and training the right talent to achieve transformation through data science, AI and ML. To meet these objectives, this data science course offers the following learning takeaways:
- Build predictive models using neural networks and time series data forecasting models.
- Develop an in-depth understanding of popular methods like regression, clustering, decision trees and deep learning.
- Learn optimisation formulations to minimise errors and build accurate models.
- Gain hands-on experience in machine learning algorithms, the statistical models behind them and the applications of ML.
As business realities shift, top executives realise that leveraging advanced techniques and new functionalities is now the order of the day. It has become essential to tap into ML’s growing potential to establish effective decision-making tools to build new products, serve customer expectations, and maintain a competitive edge. By bringing you up to speed with the advances in modern computing technologies, this programme will help you innovate, improve team effectiveness, and bolster company growth. At the end of the programme, you will receive an industry-recognised Certificate in Data Science & Machine Learning from IIT Delhi.
Enrol now and become industry-ready with an in-depth understanding of in-demand data science and machine learning tools and techniques with Python.
Programme details
Programme starts: 28 December 2022
Programme duration & format: 6 Months, Live Online sessions with faculty
Programme fee: INR 125,000 + GST
About IIT Delhi
The Indian Institute of Technology Delhi (IIT Delhi) is one of the 5 initial IITs established for training, research and development in science, engineering and technology in India. Established as College of Engineering in 1961, the Institute was later declared as an Institution of National Importance under the “Institutes of Technology (Amendment) Act, 1963” and was renamed as “Indian Institute of Technology, Delhi”. Since its inception, over 48,000 students have graduated from IIT Delhi in various disciplines including Engineering, Physical Sciences, Management and Humanities & Social Sciences. Of these, nearly 5070 received PhD degrees. The rest obtained Bachelor’s and Master’s Degrees in Engineering, Sciences and Business Administration.
These alumni today work as scientists, technologists, business managers and entrepreneurs. There are several alumni who have moved away from their original disciplines and have taken to administrative services, active politics or are with NGOs. In doing so, they have contributed significantly to the building of this nation, and to industrialisation around the world.
Disclaimer: This article has been produced on behalf of Erulearning by Times Internet’s Spotlight Team.
