Courses

Machine Learning Courses

Smart homes, self-driving cars, smart personal assistants, chatbots - Artificial Intelligence is all around us. The increasing penetration of intelligent AI products/services in our lives have spurred the growth of Machine Learning (ML). The fast-growing adoption of ML across different industries is continually creating more jobs, but there is a catch; there aren’t enough skilled professionals to fulfill the job vacancies. The solution to this demand-supply paradox?
Machine Learning courses are deeply rooted in Mathematics and Statistics. Taking a stepwise approach, Machine Learning programs teach the fundamental concepts of Maths, Statistics & Probability, Data Analysis, Computer Vision, Speech Recognition, NLP, Deep Learning, Reinforcement Learning, and Artificial Neural Nets. So, with Machine Learning courses, you get all the essentials for Machine Learning jobs, packaged into one!

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Programs in Machine Learning (6 to 18 months)

upGrad offers four different courses in Machine Learning:

  • PG Diploma in Machine Learning and AI
  • PG Certification in Machine Learning and Deep Learning
  • Master of Science in Machine Learning and AI
  • PG Certification in Machine Learning and NLP

Machine Learning and AI | PG Diploma
Machine Learning and AI | PG Diploma | 12 months
Become a Machine Learning Engineer and learn how to train an agent to play tic tac toe, train a Chatbot, and lots more
Program Level
Intermediate
Duration
12 Months
Hours of Learning
450+
No of Case Studies
12
Machine Learning and AI | Master of Science
Machine Learning and AI | Master of Science | 18 months
Pursue an integrated Master's Program in Machine Learning and AI from IIIT-B and LJMU
Program Level
Advanced
Duration
18 Months
Hours of Learning
450+
No of Case Studies
12
Machine Learning and NLP | PG Certificate
Machine Learning and NLP | PG Certificate | 6 months
Become an ML Engineer by learning how to build a chatbot, a news recommendation engine and lots more
Program Level
Advanced
Duration
6 Months
Hours of Learning
250+
No of Case Studies
5
Why Learn Machine Learning & AI?
Today, more than ever, businesses realize the importance of Machine Learning and Artificial intelligence to stay ahead in the cut-throat competitive market. By leveraging AI and ML technologies, businesses are diving deep into data to achieve their core goals, gain actionable insights, foster data-driven decisions, boost cost-efficiency, increase ROI, and most importantly, to create innovative products/services to cater to the specific tastes of their customer groups.
Here a few ways in which ML and AI applications are helping businesses grow:
  • Predictive maintenance.
  • Automated data entry.
  • Spam detection.
  • Fraud detection and prevention.
  • Sentiment analysis.
  • Product recommendation lists.
  • Customer lifetime value prediction.
  • Enhancing customer satisfaction.
  • Strengthening cybersecurity and preventing data breaches.
As for the future and scope of Machine Learning & AI, there are predictions that by 2020, AI will generate around 2.3 million job opportunities. According to another report, by the end of 2022, the global ML industry will stand at USD 9 billion, growing at an incredible CAGR of 42%. Although the adoption of AI and ML are at a nascent stage in India, essential steps are being taken to boost the AI and ML foothold in India.
Artificial Intelligence vs Machine Learning vs Deep Learning
Artifical Intellgence is a study or a concept of developing smart machines, using technological means. Machine learning is one those means. ML is one of the ways we can execute the concept of AI. Machine Leaning is a subset of Artifical Intellgence. Machine Learning is the study of computer algorithms that allow computer programs to automatically improve through experience.
Just like ML is the subset of AI, Deep Learning is a subset of Machine Learning. Deep learning is a particular kind of machine learning that achieves great power and flexibility by learning to represent the world as a nested hierarchy of concepts, with each concept defined in relation to simpler concepts, and more abstract representations computed in terms of less abstract ones.
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Master's Degree from LJMU

With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.

  • Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in ML & AI
  • Get access to the complete digital library of LJMU to research & write your dissertation
  • Earn a Master's degree which is recognised by WES, at 1/10th the cost of an offline program
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Instructors

Learn from leading Machine Learning faculty and industry leaders

How to become a Machine Learning Engineer?
The path to becoming a Machine Learning Engineer is pretty straightforward:
  • Get a Bachelor’s/Master’s degree in Computer Science/Data Science/Statistics/Software Engineering.
  • Choose a programming language and master coding in it. For beginners, Python is an excellent choice owing to its simple syntax and easy learning curve.
  • Sharpen your knowledge of Statistics and Probability concepts as they are the foundation of many ML algorithms.
  • Brush up on the fundamental concepts of Software Engineering.
  • Gain data modelling and evaluation experience.
  • Learn how to work with different ML algorithms and libraries.
  • Learn how to use advanced signal processing techniques for feature extraction.
  • Start small and build your own ML projects.
  • Participate in online coding competitions and hackathons. Kaggle is a great platform to start.
  • Read journals, articles, blogs, books, newsletters, etc., to stay updated on the latest advances in ML and AI.
  • Attend Data Science conferences, seminars, webinars, and local meet-ups to connect with people from the field.
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Machine Learning.
  • Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
    Student Success Mentors
    • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
    • Success Mentors are your single points of contact for all your non-academic queries
  • Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts
  • upGrad BaseCamp
    • Fun-packed, informative and career building workshops Sessions by industry professionals and professors
    • Group activities with your peers and alumni
    Industry Networking
    • Live sessions by experts on various industry topics
    • One-on-one discussion and feedback sessions with industry mentors
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Avg. Salary Hike
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Highest Salary
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Career Transitions
300+
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Machine Learning Articles

Some of our Interesting Machine Learning Articles to keep you updated on the latest trends

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