Courses

Machine Learning & AI Course in Mumbai

Due to the rapidly rising demand for AI and ML experts in Mumbai, numerous institutes have begun offering highly specialized AI/ML training and certification courses. There are two choices for Machine Learning & AI courses in Mumbai - on-campus and online courses. Online Machine Learning & AI courses are best suited for students and working professionals who are engaged in prior full-time academic and employment commitments. Machine Learning & AI courses in Mumbai are taught by instructors who offer personalized guidance and tutoring to learners.

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Programs in Machine Learning (6 to 18 months)

Advanced Certificate Programme in Machine Learning
Advanced Certificate Programme in Machine Learning | 7 months
Become a Machine Learning expert with IIT Delhi by specialising in ML Algorithm and data models and get data driven insights for your decision
Program Level
Intermediate
Duration
7 Months
Hours of Learning
92
Live Session
20
Master of Science in Machine Learning & Artificial Intelligence
Master of Science in Machine Learning & Artificial Intelligence | 20 months
Learn to deploy Machine Learning models using Cloud computing with an M.Sc. Degree from Liverpool John Moores University, and an Advanced Certification from IIT Madras
Program Level
Advanced
Duration
20 Months
Hours of Learning
650 +
Case Study
25
Advanced Certification in Machine Learning and Cloud
Advanced Certification in Machine Learning and Cloud | 12 months
Learn to deploy Machine Learning models using Cloud computing with India's most advanced certification programme, exclusively from IIT Madras & upGrad.
Program Level
Advanced
Duration
12 Months
Hours of Learning
500+
Case Study
5
Executive PG Programme in Machine Learning & AI
Executive PG Programme in Machine Learning & AI | 13 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
13 Months
Hours of Learning
450+
No of Case Studies
12
Master of Science in Machine Learning and AI
Master of Science in Machine Learning and AI | 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
Advanced Certificate Programme in Machine Learning & NLP
Advanced Certificate Programme in Machine Learning & NLP | 7 months
Become an ML Engineer by learning how to diagnose illnesses, predict customer churn across telecom providers and lots more
Program Level
Advanced
Duration
7 Months
Hours of Learning
250+
No of Case Studies
5
Why Study Machine Learning in Mumbai?
Why Study Machine Learning in Mumbai?
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 in Mumbai?
How to become a Machine Learning Engineer in Mumbai?
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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Executive PG Programme from IIIT Bangalore

• 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.

Executive PG Programme  from IIIT Bangalore

  • 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.

Instructors

Learn from leading Machine Learning faculty and industry leaders

Scope of Machine Learning & AI in Mumbai
Scope of Machine Learning & AI in Mumbai
With its world-class infrastructure and flourishing business and financial sectors, Mumbai is one of India’s top emerging AI and ML hubs. Mumbai houses some of the most prominent players in the IT, e-commerce, and finance sectors. And it is a known fact that opportunities for AI/ML applications in these industries are opening up at an unprecedented pace. From IT and e-commerce to healthcare and finance, every industry is leveraging AI and ML for enhancing automation, speeding up business operations, reducing the scope for human errors, fostering innovation, and most importantly, promoting data-driven decision making.
Mumbai has also seen a massive boost in its startup culture. Both established corporations and startups are creating an enormous demand for skilled and certified AI/ML professionals who can add value to their businesses. In fact, companies are ready to pay hefty compensation to deserving candidates who have the right skills and qualifications.
Machine Learning & AI Salaries in Mumbai

Although in Mumbai, the salary prospects and packages are on the higher side (when it comes to AI/ML jobs), the salary of ML and AI professionals usually depends on many factors. The most important deciding factors of the salary scale are company size and reputation, job position, educational background, skillset, and work experience.
A fresher in the AI/ML field can earn a starting salary Rs. 3-4.5 LPA. As the work experience increases, the salary scale also increases. After 6-8 years of experience, professionals can make somewhere between Rs.5.5-13 LPA. Those who have over ten years of work experience in this domain can earn a yearly package of Rs. 12-20 LPA. Professionals who have more than 15 years of industry experience can command very high salaries ranging between Rs.35-60 LPA or more.

Machine Learning & AI Career Options in Mumbai

Mumbai has to offer a host of diverse employment opportunities and job prospects for anyone looking to build a career in AI and ML. Some of the most trending job roles in the AI/ML domain are Data Scientist, NLP Scientist, Robotic Scientist, ML Engineer, Robotics Engineer, Big Data Architect, Data Analyst, Robotics Process Analyst, Business Intelligence Analyst, Analytics Manager, and Research Scientist/Applied Research Scientist.
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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    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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Machine Learning Articles

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

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