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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 AI and ML across different industries is continually creating more jobs every year. But there’s a catch - there aren’t enough skilled professionals in these domains to fulfil the job vacancies.
The solution to this demand-supply paradox?

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Why 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.
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.
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Professional certificate in Machine Learning

Online certification programs are an excellent way to improve your career opportunities and revamp your resume. By obtaining a Machine Learning & AI Certificate from an accredited institution, you can stand out in the crowd of qualified professionals before prospective employers. A professional certification adds credibility to your resume and educational background by showing potential employers that you are ready to go an extra mile to gain knowledge and upskill. It shows them that you are willing to improve your professional performance by continuing your education.

The most significant advantage of online ML and AI certifications is the fact that you get to learn all about these emerging Data Science fields at your convenience - you don’t need to quit your full-time job for studying. Instead, you can progress with the course by allotting only around 10-15 hours per week, as and when it is most convenient for you.

upGrad’s Machine Learning & AI Certificate programs are specially curated, keeping in mind working professionals. The programs are designed in collaboration with IIIT-Bangalore and extend from anywhere between 6-18 months, depending upon the course you choose. The faculty comprises of the best mentors and industry experts in ML, AI, and Deep Learning.

Each course is divided into modules containing theory, case studies, and industry assignments. The courses cover a wide range of topics in AI and ML including Deep Learning, Reinforcement Learning, Neural Networks, RNNs, CNNs, NLP, Predictive Analytics, Graphical Models accompanied by the fundamental concepts of Maths, Statistics, and Probability.

    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 Deep Learning
    Machine Learning and Deep Learning | 6 months
    Become an ML Engineer by learning how to diagnose illnesses, predict customer churn across telecom providers and lots more
    Program Level
    Advanced
    Duration
    6 Months
    Hours of Learning
    250+
    No of Case Studies
    5
    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
    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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