Machine Learning Requirements : Eligibility, job scope, salary, Best colleges, courses after 12th.

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Machine Learning (everything you need to know)

Machine learning course is one of the in-demand after class 12th. Recently, as per insights shared by Coursera, machine learning is opted for by around 3.5-3.7 million learners. This can account for the drastically increasing number of tech-related jobs opening in the country and the need for skilled professionals in the country. Among various fields available in machine learning, artificial intelligence and python are most pursued by the students these days. There are many machine learning courses offered by the top institutions in India; these courses are conducted both in online and offline mode. In the field of machines, learning personnel pursue diploma and certificate courses more than that degree courses The minimum eligibility criteria for pursuing a diploma course in machine learning is that an individual must have passed class 12th from a recognized board. Advanced Diploma and postgraduate degrees are pursued by students for the advancement of their career and increment in salary and other monetary benefits. Since machine learning is a growing field then this can be a good career option for individuals.  So here we bring to you a blog on Machine Learning Requirements : Eligibility, job scope, salary, Best colleges, courses after 12th. which will help you to get a deep understanding of the machine learning course.

Machine learning is enabling computers to tackle tasks which were earlier carried out by people.

From driving cars to translating speech, everything was earlier done by people, but with the help of machine learning is now done by computers and devices similar to computers, it is the capability of artificial intelligence till now we have discussed the importance of machine learning courses, now the question arises what is machine learning? In simple words, Machine learning is the process by which computer systems are taught different accurate predictions from the data fed into the computer.

The key difference between traditional computer software and software yielded by machine learning is that human developers haven’t written code that instructs the system on how to tell the difference between two different things.

For example, a computer system earlier cannot tell the difference between mangoes and apples.

Instead, a machine-learning model has been taught how to discriminate between the fruits.

There are mainly two types of machine learning, supervised and unsupervised learning. Now let us discuss both these types one by one.

  1. Supervised learning:

This approach is example-based, it teaches computers with the help of examples.

  1. Unsupervised learning,

In contrast, unsupervised learning does not use examples, they try to spot similarities that help to divide complex data into different categories.

Machine Learning courses after 12th in 2023

After class 12th, machine learning courses for beginners are suitable for students so that they can build a foundation for the advanced skills required in machine learning. We have mentioned some of the best online courses available to develop the foundation for machine learning in the table below:

Learn the Basics of Machine Learning Simplilearn Free
Basics of Machine Learning GreatLearning Free
Introduction to Machine Learning Course Udacity Free
Introduction to Machine Learning for Data Science Udemy INR 3.5k-4k
Machine Learning- From Basics to Advanced Udemy INR 3k-3.5k
Machine Learning Practical Workout | 8 Real-World Projects Udemy INR 3.5k-4.5k
Machine Learning Certification Course for Beginners Analytics Vidhya Free

Machine Learning 2023 Eligibility Criteria

  • Students who have passed class 12th are eligible to pursue a certificate course in machine learning.
  • To pursue a diploma, you must have passed class 12th but for a PG Diploma, you must be a graduate in a relevant discipline.
  • To pursue Bachelor’s in machine learning, one must pass class 12th from a recognised board an must have 50-60% aggregate marks(approximately).
  • To pursue a master’s degree, one must have completed an undergraduate degree in respective disciplines from recognized universities.

Machine Learning Requirements, Average fees & Duration

Average fees for different courses are as follows:   

  • For certificate courses average fee is INR 1,000-10,000(approx.)
  • For Diploma courses average fee is INR 1-5 lakhs
  • For Bachelor’s degree average fee is INR 1-20 lakhs(approx.)
  • For a master’s degree average fee is INR 2-10 lakhs(approx.)

The average duration for different courses is as follows:

  • Duration of various certificate courses lies between 1-12 months
  • Duration of various diplomas ranges from 1-2 years
  • Duration of bachelor’s degree range between 3-4 years
  • Duration of master’s degree range between 1-2 years

Top colleges for cyber security in India 2023 (Offline)

Here are the top 10 colleges for Machine Learning who can offer you the right opportunities in the field of Machine Learning, the main criteria to choose these colleges is the NIRF ranking

  •  Indian Institute of Technology, Madras, Chennai
  •  Indian Institute of Technology, Bombay, Mumbai
  •  Indian Institute of Technology, Kharagpur
  •  Indian Institute of Technology, Delhi, New Delhi
  •  Indian Institute of Technology, Kanpur
  •  Indian Institute of Technology, Roorkee
  •  Indian Institute of Technology, Hyderabad
  •  Indian Institute of Technology, Gandhinagar, Ahmedabad
  •  Indian Institute of Technology, Ropar-Rupnagar
  •  Indian Institute of Technology, Patna
  •  Indian Institute of Technology, North Guwahati
  •  National Institute of Technology, Tiruchirappalli
  •  Vellore Institute of Technology, Vellore (first private institute in the category)

Top abroad universities offering Machine Learning

One of the best places to pursue Machine Learning is the USA, table below shows the best Machine Learning courses in the USA

Master of Science in Operations Research –
Machine Learning and Artificial Intelligence
Columbia University
Master of Science in Machine Learning Carnegie Mellon University
Computer Science M.S. With Specialization in
Machine Learning
Cornell University
M. Sc in Computer Science with Specialization in
Machine Learning
Georgia Institute of Technology
Data Analytics & Machine Learning
Master’s Programs
Duke University
M. Sc in EECS with Specialization in
Machine Learning
Massachusetts Institute of Technology
MS in Artificial Intelligence Boston University

Best universities for Machine Learning in Europe in 2023

Following are the best universities for Machine learning in Europe:

  1. University of Oxford
  2. ETH in Zurich
  3. University of Cambridge
  4. EPFL
  5. Imperial College London
  6. University College London
  7. Technical University in Munich
  8. KTH Royal Institute of Technology
  9. The Delft University of Technology

Machine Learning future possibilities

Machine Learning is becoming very popular these days, and this field has a lot of research potential. Machine Learning is a subpart of a much bigger field, artificial intelligence.

From the recent development, we can assume that Machine learning will be one of the three pillars on which our future will be standing, the other two pillars are artificial intelligence and deep learning. Machine Learning applies to diverse fields of healthcare, education, robotics, banking, geology, weather, agriculture, landscape recreation, oceans, improving food quality and smart marketing.

From this, we get to know that there are diverse fields in which an individual can form his career in machine learning.


Question: Can I learn Machine Learning courses Online in 2023?

Answer: There are numerous certification programmes offered online by specialists in this particular industry from all around the world. The online courses must be tried out by students looking for affordable, high-quality, and home study options.

Question: Which is the Free Machine Learning Online Course in 2023?

Answer: College-level courses typically cost more money, but they also have more value. In any case, machine learning is available online through platforms like Udemy for significantly lesser prices. For a limited time, Coursera is also giving the course away for free.

Question: What is the duration of a Machine Learning Course in 2023?

Answer: At different levels, the course length varies; for a UG Bachelor’s degree, it takes 4 years. The time frame for a PG Master’s degree is two years, and for certification courses, the time frame is determined by the website or the organisation offering the course.

Question: How much does it cost to do a Machine Learning course in 2023?

Answer: The cost of the training varies based on the organisation that conducts it. Since it is a specialised course, costs will typically be high, and they will be significantly higher if the course is offered by a reputable university. The average cost for a bachelor’s degree is between INR 1 and 2 lakh.

Question: Is it worth pursuing a Machine Learning course in 2023?

Answer: A machine learning course is absolutely worthwhile because, when compared to other computer courses, it offers relatively high work chances and salaries.

Question: What is the average salary after completing a machine learning course in 2023?

Answer: Depending on the candidate’s experience and skill level, the typical compensation can range from INR 3 to 8 LPA for undergraduate degrees and from INR 10 to 20 LPA for graduate degrees.

Question: Do I get a scholarship to pursue machine learning certifications in 2023?

Answer: Yes, online learning platforms like Coursera offer financial aid to students. Students must complete an application for the aid, and they will be informed whether it is granted.

Question: Is there any background knowledge needed for a course in Big Data?

Answer: No, prior experience is not required. To complete the hands-on training in Big Data, all that is required is a basic understanding of how to install software and use a virtual machine.

Question: What are common algorithms that every machine learning engineer should know?

Answer: The Naive Bayes Classifier Algorithm, K-Means Clustering Algorithm, Support Vector Machine Algorithm, Linear Regression, Logistic Regression, and Artificial Neural Networks are typical algorithms that any machine learning engineer should grasp.

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