Machine Learning & AI Course in Chennai

The ever-growing need for trained and certified Machine Learning & AI professionals in Chennai has further pushed the growth for Machine Learning & AI courses in Chennai. There are several institutes and colleges in Chennai that now offer ML & Artificial Intelligence courses.
Machine Learning & AI courses in Chennai cover every aspect of AI and ML. Learners who enrol in these courses can not only learn the theoretical concepts of AI and ML but also work on practical projects and assignments to build on their AI/ML skills.


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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
12 Months
Hours of Learning
No of Case Studies
Machine Learning and AI | Master of Science
Machine Learning and AI | Master of Science | 20 months
Pursue an integrated Master's Program in Machine Learning and AI from IIIT-B and LJMU
Program Level
20 Months
Hours of Learning
No of Case Studies
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
6 Months
Hours of Learning
No of Case Studies
Why Machine Learning & AI?
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.
How to become a Machine Learning Engineer?
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.

Professional certificate in Machine Learning


    Learn from leading Machine Learning faculty and industry leaders

    Scope of Machine Learning & AI in Chennai
    Scope of Machine Learning & AI in Chennai
    Back in 2017, Gartner announced that by 2020, AI would create 2.3 million jobs globally. It is a known fact that the demand for Machine Learning (ML) and Artificial Intelligence (AI) has risen rapidly in the past decade. Today, almost every sector of the industry is readily adopting and leveraging these technologies to reap numerous business benefits. For a city like Chennai that has always been a fast-growing and developing city in India, there’s plenty of scope of Machine Learning & AI in Chennai.
    Chennai has a strong economic base that is fuelled by a few core industries in the city, including IT/ITES, healthcare, hardware manufacturing, automobile, and BFSI sectors. By 2025, Chennai is posited to grow into a $150 billion economy, which means that new and exciting opportunities for disruptive technologies like Machine Learning & AI will emerge in Chennai. As more and more companies across the industries in Chennai start incorporating ML and AI in their business infrastructure, it will create a massive demand for skilled AI/ML professionals in the city.
    Machine Learning & AI Salaries in Chennai

    The salary of Machine Learning & AI professionals in Chennai depends on a candidate’s education, skillset, and work experience, along with the job position and the size and reputation of the company.
    According to Indeed, the average salary for a Machine Learning Engineer is Rs. 18,579 per month in Chennai. This is, of course, the starting salary of a fresher with no work experience. The starting salary range usually remains between Rs. 2.2-3.5 LPA. After gaining about 6-8 years of experience in this domain, one can earn between Rs. 4.8-6 LPA. Professionals with over ten years of experience make anywhere between Rs. 12-18 LPA and those having more than 15 years of field experience can easily make around Rs.20-35 LPA.

    Machine Learning & AI Career Options in Chennai

    In Chennai, AI and ML aspirants can look for job roles like Data Scientist, Robotic Scientist, NLP Scientist, ML Engineer, Big Data & AI Architect, Automation and Optimization Engineer, Data Analyst, Business Intelligence Analyst, Robotics Process Analyst, and Analytics Manager.
    Applications of Machine Learning & AI
    Applications of Machine Learning & AI
    Today, we have come to that phase of technological revolution where Artificial Intelligence (AI) is all around us. From automating business operations to assisting the common man in day-to-day life, the applications of AI and Machine Learning (ML) are transforming the world in a way we never imagined before.
    While AI is the science that aims to build intelligent machines that can depict human-like cognitive abilities, Machine Learning is a subset of AI that gives shape to this concept of smart machines. It imparts machines (computers) with the ability to learn from data and perform human-specific tasks. The recent surge of interest in AI and ML technologies has given birth to several miraculous applications of Machine Learning and AI.

    Top 5 Applications of Machine Learning and AI

    1. Smart Personal Assistants
    In the past five years, smart personal assistants have become hugely popular. Siri, Alexa, Cortana, Google Assistant, Amazon Echo, Google Home are all examples of virtual assistants.
    2. Sentiment Analysis

    Sentiment analysis is a real-time ML application that focuses on “opinion mining.” This ML application is designed to analyze and interpret the sentiment, that is, the attitude or opinion of a speaker or a writer. In simple words, it is the process of determining the hidden intent or emotion out of text or spoken words.

    3. Video Surveillance
    Video files can contain a ton of vital information, in fact, much more than what text and other media files usually contain. Hence, companies are now inclining toward smart video surveillance to detect crime and fraudulent activities even before they can happen.

    4. Fraud Detection
    In the face of the rising incidence of cybercrimes, it has become essential to track and prevent fraudulent and suspicious activities before they can compromise the company database. Cybercrimes and security breaches often lead to substantial financial and data losses. Thankfully, Machine Learning is helping make cyberspace and online platforms safer and more secure.

    5. Chatbots
    Chatbots are just like virtual personal assistants. Recently these smart bots have gained immense popularity due to their excellent customer support abilities. Chatbots can interact with customers in real-time and assist them accordingly. They are highly capable of handling customer requests, complaints, and grievances. While chatbots can handle the basic customer support activities and tasks, if need be, they can also escalate to human agents for more complex issues.

    Since AI and ML are emerging technologies, they are in a state of constant evolution. With time, these technologies will become more mature and lead to more such exciting applications and innovations.
    The upGrad Advantage
    Strong hand-holding with dedicated support to help you master Machine Learning.
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      • Fun-packed, informative and career building workshops Sessions by industry professionals and professors
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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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