Machine Learning & AI Course in Bangalore

Bangalore is dotted with institutes, and colleges that offer Machine Learning & AI Courses. Aspirants have the option to choose between on-campus/classroom courses and online courses. Online courses are the best suited for those who have prior full-time engagements.
Most Machine Learning & AI Courses in Bangalore cover the basic and advanced concepts of ML and Artificial Intelligence. They offer a broad introduction to ML, Deep Learning & Neural Networks. Candidates learn topics including supervised, unsupervised learning & best practices.


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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.
Scope of Machine Learning & AI in Bangalore
Bangalore is the “Silicon Valley” of India. With an active and thriving IT ecosystem, and deep-rooted startup culture, Bangalore has everything needed to bring the Artificial Intelligence and Machine Learning revolution in India. Most importantly, Bangalore is a ground for highly talented young professionals and entrepreneurs who are ever so curious about experimenting with emerging technologies.
Bangalore’s tech scene is so vibrant and dynamic that the adoption and incorporation of disruptive technologies like AI and ML are both feasible and profitable. In fact, from small startups and e-commerce companies to large corporations, businesses across all sectors in Bangalore are leveraging AI and ML to automate routine work processes, promote data-driven decision making, drive higher revenues, and increase personalization and customer satisfaction.
As a large portion of the business and tech sector in Bangalore is already invested in AI and ML, there’s massive scope for these technologies to flourish in this tech hub of India.
Machine Learning & AI Salaries in Bangalore

Just like any other field of expertise, Machine Learning and Artificial Intelligence salaries in Bangalore depend on multiple factors like the size and reputation of the company, the job title, and a candidate’s skillset and work experience.
There’s a massive difference in the ML and AI salary scale. While the starting salaries may start as low as Rs. 3 LPA (on average), they can go as high as Rs. 50-80 LPA. Everything depends on the factors mentioned above. Usually, a fresher in AI/ML can earn around Rs. 2.8-5 LPA. After about 6-8 years of experience, the salary scale is anywhere between Rs. 6-18 LPA. Professionals who have more than ten years of field experience can easily earn Rs.18-38 LPA. As for senior-level professionals who are in managerial roles or above, the yearly compensation is well over Rs.50 LPA, going as high as Rs.70-80 LPA.

Machine Learning & AI Career Options in Bangalore

Since Artificial Intelligence and Machine Learning have already gained traction in Bangalore, there’s plenty of job opportunities available here. Some of the most popular job titles in this field include Data Scientist, Robotic Scientist, NLP Scientist, Big Data & AI Architect, ML Engineer, Automation and Optimization Engineer, Data Analyst, Business Intelligence Analyst, Robotics Process Analyst, Analytics Manager, to name a few.
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.
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.
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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
    12 Months
    Hours of Learning
    No of Case Studies
    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
    18 Months
    Hours of Learning
    No of Case Studies
    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
    6 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
    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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