Machine Learning Courses: Machine learning programmes encourage learners to create computer algorithms that can be understood without being specifically programmed. Machine learning, to put it plainly, is the process through which machines learn via experience.
Machine Learning is strongly related to Artificial Intelligence degrees and is taught in BTech Computer Science and AI programmes. To become a machine learning engineer, one must obtain the necessary degrees or certifications, such as a diploma in machine learning, a bachelor’s in machine learning, or a master’s in machine learning.
Machine learning courses are available for free on a variety of sites, including Udemy, Coursera, and others. Some sites, such as edX and Udacity, also offer self-paced Machine Learning Certifications from reputable organizations such as Stanford University, Google, and others, with costs ranging from INR 18,000 to INR 16,95,000.
Table of Contents
Machine Learning Course Overview
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Course Type |
Undergraduate Degree/Post-graduate/Certificate Courses |
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Full-Form |
Machine Learning Course |
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Course Duration |
Four months to 1 year |
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Eligibility Criteria |
Minimum educational qualification required is – completed Bachelor’s Degree (relevant course) |
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Admission Procedure |
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|
Fees |
It starts from 40,000INR and goes up to 60,000 INR. |
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Job areas |
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Top Companies |
Qualcomm, Google, LinkedIn, Apple, Adobe |
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Average Salary |
Rs 7 Lakhs per Annum |
Course Details of Machine Learning
Machine learning currently has a wide analytical foundation and is one of the most intriguing and fast-growing disciplines in computer science. Machine learning may be used in a variety of sectors and applications to increase production and intelligence. Machine learning is so common that you probably use it dozens of times a day without even realizing it. Many experts believe it is also the greatest method to get closer to human AI.
Eligibility Criteria (UG & PG) of Machine Learning
For Machine Learning Undergraduate Level
- Students who have finished grades 10 and 2 in a recognised state board with science as a core subject are eligible.
- Several colleges choose students based on their performance on a test. Some institutions use a merit-based admissions procedure to choose their students.
For Machine Learning Postgraduate Level
- Students must have obtained a Bachelor’s degree in Artificial Intelligence-related programmes to be eligible to apply for postgraduate studies.
- Several institutions hold entrance tests such as the GATE.
- GATE is a national level examination that leads to enrollment at elite institutes. Many candidates like to write it because it is a national level exam.
- Independent tests or merit-based admission to M.Tech artificial intelligence are available at several institutions.
Entrance Exam for Machine Learning
- SUAT (Sharda University Admission Test)– For admission to the B.Tech Artificial Learning and Machine Learning programmes at Sharda University, an entrance exam is held. The exam will be conducted entirely online.
- IIT-JEE– Students should first pass JEE Main to be considered for admission to IIT Hyderabad’s B.Tech artificial intelligence programme. Then they take the JEE advanced exam. Candidates are chosen based on their scores after passing JEE Advanced.
- UPSEE-Artificial intelligence is tested in the Uttar Pradesh State Entrance Exam. The admissions test is open to students who have completed their 12th grade with a major in computer science.
- GATE– Artificial intelligence is tested in the Uttar Pradesh State Entrance Exam. The admissions test is open to students who have completed their 12th grade with a major in computer science.
Admission Process for Machine Learning Course
- The student will be chosen based on their performance on the entrance exam and in the 12th grade.
- To be admitted, the individual must submit an online application.
- To create the merit list of selected applicants, the nominee’s JEE Mains score (for B.Tech) and GATE score (for M.Tech) would be used in the selection procedure.
- The candidates who have been shortlisted will be able to attend the counselling session as well as the college interviewing rounds.
- For the final enrollment process, individuals will be asked for documentation verification. If the authority identifies some mismatch between the submitted information and relevant documentation, the administration can deny the applicant’s admission.
Types of Machine Learning Courses
Certificate, Diploma, Undergraduate, and Postgraduate Machine Learning Courses are provided. The programmes can be selected based on the eligibility requirements.
Certifications in Machine Learning Courses
Machine Learning course certificates are available from a variety of colleges and institutions. The following are some of the most popular Machine Learning Certificate Programs:
| Name of the Courses | Duration | Average Fees (INR) |
|---|---|---|
| Machine Learning Stanford Online | 3 months | 3,52,800 |
| Professional Certificate in Foundations of Data Science | 2 – 4 months | 18,690 |
| Certificate of Professional Achievement in Data Science | 12 months | 16,95,120 |
| eCornell Machine Learning Certificate | 3.5 months | 39,550 / 2,52,000 |
| Certificate in Machine Learning | Varies | 3,18,360 |
Below is a list of some of the best colleges for Machine Learning courses.
| Name of the Colleges | Average Fees (INR) |
|---|---|
| Indian Institute of Management, Kolkata | 3 LPA |
| Jadavpur University | 1.3 LPA |
| Faculty of Engineering and Technology, Bangalore | 1.28 – 13.22 LPA |
| SAGE University, Bhopal | 1.8 – 6 LPA |
| Poornima University, Jaipur | 3.26 – 6.25 LPA |
| Indian Institute of Science, Bangalore | — |
Diploma in Machine Learning Courses
The following are among the most common Machine Learning diploma courses:
| Diploma in Machine Learning Courses | Provider | Duration |
|---|---|---|
| Post Graduate Program in Artificial Intelligence and Machine Learning | BITS Pilani | 11 months |
| Post Graduate Diploma in Artificial Intelligence and Machine Learning | NIT Warangal & Edureka | 45+ hours |
| Post Graduate Diploma in AI & Machine Learning | IIT Lucknow | 12 months |
The following are some of the best institutions that offer Diploma in Machine Learning Courses:
| Name of the Colleges | Average Fees (INR) |
|---|---|
| Amity University, Noida | 1.85 LPA |
| International Institute of Information Technology, Bangalore | 2.25 LPA |
| National Institute of Electronics and Information Technology, Calicut | 12,000 |
| National Institute of Electronics and Information Technology, Gorakhpur | 3,800 |
Undergraduation in Machine Learning Courses
Below is a list of some of the best Undergraduate Machine Core Curriculum.
| Name of the Courses | Colleges |
|---|---|
| Data Science: Machine Learning | Harvard University |
| Undergraduate Program in Data Science | University of Michigan |
| Mechatronics and Intelligent Machines – Undergraduate Foundation Program | University of Central Lancashire |
The following are some of the best institutions that offer Undergraduate Machine Learning courses:
| Name of the Colleges | Average Fees (INR) |
|---|---|
| Vellore Institute of Technology | 1,95,000 |
| SRM Institute of Science and Technology | 2,60,000 |
| Indraprastha Institute of Information Technology | 3,60,000 |
| Lovely Professional University | 1,96,000 |
| Dehradun Institute of Technology | 1,60,000 |
Post Graduation in Machine Learning Courses
- Candidates must have completed a Bachelor’s degree from a recognised university in a related area to be eligible for Post Graduate programmes in Machine Learning.
- The average pay after completing a Master’s in Machine Learning programme is between INR 10,00,000 and INR 20,00,000 per year.
The following are some of the most popular Machine Learning postgraduate courses:
| Postgraduate Courses in Machine Learning | Provider | Duration |
|---|---|---|
| Executive PG Program in Machine Learning and AI | Upgrad in collaboration with IIIT Bangalore | 12 months |
| MSc Computer Vision, Robotics and Machine Learning | University of Surrey | 2 years |
| Master of Science in AI and Machine Learning | Contemporary Technology University | 12 – 18 months |
The following are a few of the best colleges that offer postgraduate Machine Learning courses:
| Name of the Colleges | Average Fees (INR) |
|---|---|
| Vellore Institute of Technology | 1,95,000 |
| SRM Institute of Science and Technology | 2,60,000 |
| Indraprastha Institute of Science and Technology | 3,60,000 |
| Lovely Professional University | 1,96,000 |
| Dr. DY Patil Institute of Technology | 1,01,769 |
Post Graduation in Machine Learning Courses
- Eligibility for Post Graduate courses in Machine Learning is that students have to clear their Graduation from a recognised University from a relevant discipline.
- The average salary received post the completion of Master’s in Machine Learning courses is INR 10,00,000 to INR 20,00,000 per annum.
Some of the common Postgraduate courses in Machine Learning are as follows,
| Postgraduate Courses in Machine Learning | Provider | Duration |
|---|---|---|
| Executive PG Program in Machine Learning and AI | Upgrad in collaboration with IIIT Bangalore | 12 months |
| MSc Computer Vision, Robotics and Machine Learning | University of Surrey | 2 years |
| Master of Science in AI and Machine Learning | Contemporary Technology University | 12 – 18 months |
Top Colleges Offering Machine Learning Courses in India
For over a decade, the Machine Learning expert course has been taught with zeal and enthusiasm. The following are some of the top colleges in India that offer Machine Learning courses:
| Name of the Colleges | Average Fees (INR) |
|---|---|
| Indian Institute of Technology, Hyderabad | 2,00,000 |
| Vellore Institute of Technology | 1,90,000 |
| Chandigarh University | 80,000 |
| Indian Institute of Technology, Madras | 1,000 |
| Indian Institute of Technology, Bangalore | 2,000 – 5,000 |
| Lovely Professional University | 1,96,000 |
| Dehradun Institute of Technology | 1,60,000 |
| University of Petroleum and Energy Studies, Dehradun | 1,60,000 |
| Dr. DY Patil institute of Technology | 1,01,769 |
| SRM University of Science and Technology, Kanchipuram | 2,60,000 |
Machine Learning Course Syllabus
A Machine Learning Program covers a wide range of topics that are both intriguing and useful. As component of its syllabus for various degrees, the Machine Learning curriculum includes the following basic subjects:
BasicsÂ
| Unsupervised, Supervised and Reinforcement |
| Overfitting, Underfitting |
| Bias – Variance Trade off |
Gradient Descent – Stochastic, BatchÂ
| Principal Component Analysis | Kernel Density Estimation |
| Linear Discriminant Analysis | AIC, BIC |
| Learning Vector Quantization | Radial Basis Functions |
| Kernel Smoothing Methods | K – fold Cross Validation |
| Regularisation Methods – Ridge, LASSO | Generalised Additive Models |
| Partial Least Squares | Gradient Boosting |
| Ordinary Least Squares | Multivariate Adaptive Regression Splines |
| Ensemble Learning – Bagging, Boosting, Blending, Staffing | —- |
NLPÂ
| Word Sense Disambiguation | Regular Expression |
| Machine Translation | Tokenization |
| Pronoun Resolution | Stemming |
Evaluation MetricsÂ
| Precision | Mean Absolute Percentage Error |
| AUC | Specificity |
| Recall | Root Mean Square Error |
Algorithms
| Logistic Regression | Classification and Regression trees |
| Linear Regression | AdaBoost |
| Naive Bayes | Support Vector Machines |
| K Means Clustering | Random Forest |
| K Nearest Neighbours | Decision Trees |
| ARIMA | C 4.5, C 5.0 |
| CHAID | Hierarchical Clustering |
Deep Learning
| Bayesian Neural Nets | Convolutional Neural Networks |
| Neural Networks | Deep Belief Networks |
| Deep Boltzmann Machine | Â |
Mathematics
| Scedasticity | Hypothesis Testing |
Machine Learning Courses: Career Scope
After finishing Machine Learning, students can pursue a variety of careers, including Software Engineers, Software Developers, Data Scientists, and Data Architects, among others. The table below details the job profiles and job roles that can be obtained after finishing this course:
Top JobsÂ
| Job Profiles | Job Descriptions |
|---|---|
| Software Engineer | A Software Engineer is in charge of enhancing system performance, recognizing software trends, and creating standard operating procedures. He’s also in charge of keeping and upgrading current codebases. |
| Software Developer | A Software Engineer is in charge of enhancing system performance, recognising software trends, and creating standard operating procedures. He’s also in charge of keeping and upgrading current codebases. |
| Computational Linguist | Computational linguists are in charge of developing systems that can do tasks like voice recognition, automatic speech, machine translation, grammar checking, and so on. |
| Data Scientist | A data scientist gathers, analyses, processes, and models data before interpreting the findings to develop actionable plans for businesses and other organizations. |
| Machine Learning Engineer | They are highly skilled programmers that create systems and devices that apply the knowledge knowledge without being directed in any way. |
Top Recruiters
The following are some of the top Machine Learning Engineering recruitment agencies:
| Ideas2IT Technologies | Oneture Technologies |
| NeenOpal Inc | Mrmmbs Vision. Web and Mobile App |
| Day one Technologies | Knoldus Inc |
| SPEC INDIA | Reckonsys |
FAQ’s for Machine Learning
Python, C, C++, JavaScript, Java, Shell, C#, R, TypeScript, and Scala are the top ten programming languages for machine learning. Python, on the other hand, is a must-have for anyone interested in machine learning. Because it is used by 57 percent of data scientists, it is preferred by 33 percent of developers over other computer languages.
There are numerous certification courses accessible online that have been taught by specialists in this industry from all around the world. Students looking for low-cost, high-quality courses that they can take from the comfort of their own homes may consider online courses.
The length of the education varies depending on the level; for example, a UG Bachelor’s degree lasts four years. The duration of a PG Master’s degree is two years, while the duration of certification courses varies depending on the website or the college conducting the course.
When tried to compare to other computer degrees, taking a Machine Learning study is undoubtedly worthwhile because the employment chances and compensation offered are fairly high.