Top 10 Courses on Machine Learning - Online Programs 2026
- Discover the top 10 online courses on machine learning, compiled to provide cutting-edge insights, practical skills, and hands-on experience…
What is Machine Learning?
Machine learning is a subdomain of artificial intelligence which focuses on the aspect of strengthening the accuracy of prediction of an AI model. Aimed at training AI models to provide accurate predictions for solutions, ML functions mainly by utilising statistical techniques or algorithms to crawl large labelled and unlabelled datasets and identify patterns in the data that can effectively guide the problem-solving and decision making by the model. Machine learning makes use of a number of strategies for model training including supervised learning, unsupervised learning, semi supervised learning, reinforcement learning etc. Commonly used algorithms in ML include those like regression (linear, logistic, polynomial etc.), K-means, fuzzy means, decision trees, random forests, neural networks etc. The applications of machine learning are wide and pervasive, spanning across domains from cybersecurity and fraud detection to self-driving cars and personalised recommendations. ML is thus emerging as one of the popular arenas within computer science not only in a professional context but also an academic context.
What are Online Courses in Machine Learning: Are They Worth It?
In the modern educational arena guided actively by the integration of ICT services and internet-powered educational facilities, online education in technology is gaining momentum. Accordingly, there are a number of public and private institutions in India and abroad that have started offering their much-demanded courses in machine learning in the fully online mode. The trust in online courses and their popularity has surged in the past few years based on a number of factors including those like their accreditations, value in comparison to regular courses, affordability and so on. Pursuing a technology course like that in machine learning can confer many advantages to the student taking the course, a few of which have been highlighted herein. Equivalent Value as a Regular ML Course- The first and foremost advantage associated with an online course in ML is the equivalent credibility that they have compared to regular machine learning courses. Identifying the transformative role that online courses can play for higher education in India, the UGC-DEB has granted equivalent status to online degrees, diplomas and certificates compared to their regular counterparts. As a result, a student pursuing an online course in machine learning gets a qualification of equivalent credential as compared to a regular course. Choices from Elite Institutes and Universities - A major benefit a student experiences if they go for an online instead of a regular course in machine learning is the wider variety of course and institutional choices. Since online education allows the candidate to take the course up from any location of their convenience, one can easily explore options of universities and institutes beyond one’s city or state of residence. This means one can choose courses from the elite technology institutes in India as well as global institutions for machine learning and technological studies, adding credibility to one’s profile and resume. Flexibility of Learning- The flexibility of learning accompanying online courses is one of the major motivators guiding students towards online courses in ML. Firstly, an online course usually lacks rigid schedules and timetables requiring mandatory attendance, meaning that students can flexibly complete the course at any time of their convenience, managing multiple commitments at once. Secondly, there are a number of online courses which are self-paced (with a maximum time limit within which they must be completed), allowing learners with differing proficiencies and learning speeds manage their coursework and complete the course without lagging behind. Lastly, the lectures, practicals and examinations of most of these courses are online-proctored, thus preventing hassles of travel or relocation and allowing them to complete the course from the location of their convenience. Learning While Working - With the vast benefits of flexibility conferred by the online mode of learning, students choosing to pursue online ML programs can conveniently pursue other commitments, such as jobs, internships etc. Thus, one can continue to grow their professional experience and insights while pursuing an online course in machine learning alongside. This is an aspect of e-learning which is unconducive in the case of regular learning. Affordability of Education- The average fee bracket within which the online ML courses are offered are in a relatively more pocket-friendly range than similar regular courses. Moreover, most of these courses are provided alongside financial support options such as low-interest EMI options, scholarships etc., and hence are more affordable for students from diverse financial and socioeconomic backgrounds. Impact on Career Escalation - Lastly, and quite importantly, pursuing an online course in the domain of machine learning can be quite beneficial for one’s career. This domain being quite lucrative, upskilling oneself in machine learning can be beneficial in garnering lucrative job opportunities or experiencing career hikes if you are an experienced professional in this domain. As has been outlined above, taking up an online machine learning program can be quite beneficial for freshers, current students as well as working professionals, providing a leverage to their careers and hands-on skills in the domain.
Top 10 Online Courses in Machine Learning
Provided below are the details of some of the most well-known, duly accredited and comprehensive courses provided in the domain of machine learning and related fields like artificial intelligence. 1) Online Certificate Courses in ML The most popular courses in ML in the online learning mode include certificate programs for undergraduate students, postgraduate students and working professionals wishing to explore the field of machine learning. Certification courses are short and concise, making them more manageable and one of the most preferred courses in ML in the online learning mode. They can be highly useful for candidates seeking to build skills in specific domains of machine learning in a short span of time. (i) Postgraduate Program in Artificial Intelligence & Machine L earning The PG certification program in AI and ML offered by IIIT Bangalore is a well-accredited and popular course choice for graduates seeking PG education in AI and ML in a short span of time. The course curriculum for this programme is carved to suit the skill needs of freshers as well as professionals having some degree of experience in working with ML technologies. The course has a fee range of INR 1,80,000 to INR 2,00,000. There is no entrance exam needed to be qualified to apply for the course. More details about the PG certification in AI and ML are provided below. Course Name PG Certification Course in AI & ML Course Level Postgraduate Course Duration 8 Months to 13 Months Course Fee INR 1,80,000 to INR 2,00,000 General Eligibility Candidates must have Completed Bachelors’ in Any Discipline from a Recognised University with at least 50% Aggregate Marks Certain Institutions may demand 1 Year of Professional Experience Entrance Exam (If Applicable) NA Major Subjects & Papers MLOps Linear Regression Module Introduction to Neural Networks ‘ Model Selection Convolutional Neural Network etc. Institutions/Platforms Offering Course IIIT Bangalore Online (ii) Job- Guaranteed Program in Machine Learning & Artificial Intelligence With the ever-evolving and VUCA environment in the technological industry, the popularity of job-guaranteed courses in machine learning and artificial intelligence is surging. This is a postgraduate course in this dual specialisation that lasts between 5 months to 12 months, and is offered by the MOOC platform upGrad. Being a PG certification, this course comes with an assured placement opportunity upon successful completion of the course. The returns on investment in pursuing this online course are quite appealing twinned with the credibility and value of a qualification from upGrad, making it a popular choice among tech-enthusiasts. Further details about the job-guaranteed certification course in ML and AI are provided below : Course Name Job-guaranteed Certification Course Online In Machine Learning and AI Course Level Postgraduate Course Duration 5 Months to 12 Months Course Fee INR 70,000 General Eligibility Candidate must have Completed Bachelors from a Recognised Institution with at least 50% Aggregate Marks Preliminary Knowledge about Machine Learning Entrance Exam (If Applicable) NA Major Subjects & Papers Functions and Modules Vectors, Matrices and Matrix Solutions Natural Language Processing (NLP) Introduction to Deep Learning Linear Regression, Logistic Regression Institutions/Platforms Offering Course upGrad (iii) Online Certificate in Artificial Intelligence & Machine Learning Certificate courses in machine learning are also available to be pursued by students at the undergraduate level. The online certificate in AI and ML is a course designed for candidates having completed their Higher Secondary education and currently pursuing a Bachelor’s degree. The duration of this course varies, usually between 3 months to 12 months. This course is available to be pursued on a number of MOOC platforms such as upGrad, Coursera, Great Learning, Simplilearn etc. Find more details about this course provided below: Course Name Certification Course in AI & ML Course Level Undergraduate Course Duration 3 Months to 12 Months Course Fee INR 1,00,000 to INR 2,00,000 General Eligibility Candidate must have Completed At Least Higher Secondary Education (Grade 12th) from a Recognised Institution with at least 50% Aggregate Marks Entrance Exam (If Applicable) NA Major Subjects & Papers Introduction to Artificial Intelligence (AI) Deep Learning Data Mining Big Data Analytics Computer Vision Reinforcement Learning Model Deployment & Production etc. Institutions/Platforms Offering Course Great Learning, upGrad, Coursera, Simplilearn etc. (iv) Certificate Program in Machine Learning for Finance (CPMLF) Designed specifically to cater to the needs of applications of ML in finance, the Indian Institute of Quantitative Finance (IIQF) offers an 8-months online instructor-led program–Certificate Program in Machine Learning for Finance (CPMLF). This course covers a number of preliminary courses and core modules that equip the students pursuing the course to the foundations of ML and how the various ML technologies can be applied to the financial sector. Further details about this certificate program are provided below: Course Name Certificate Program in Machine Learning for Finance (CPMLF) Course Level Executive Course Duration 8 Months Course Fee INR 1,68,000 General Eligibility Any working professional having the necessary prerequisite skills of accounting and finance, investment analysis, regulatory and internal compliance etc. Entrance Exam (If Applicable) NA Major Subjects & Papers ML Programming Preliminaries ML Mathematical Preliminaries ML Probability & Statistical Preliminaries ML Methodology ML Financial Use Case Implementation Python Institutions/Platforms Offering Course Indian Institute for Quantitative Finance (IIQF)
2) Online Diploma Courses in ML
In addition to short-term certificate programs in machine learning, there are also a number of diploma courses for PG candidates and executives available to be pursued in the virtual learning mode. Diploma courses are relatively longer in duration and include a more detailed coverage of concepts and practical areas of machine learning. Continue reading to find out more about these courses. (i) Executive PG Diploma in Artificial Intelligence & Machine Learning An executive PG diploma in AI and ML is a dual specialisation diploma program in the fully online mode offered over a period of 6 months to 24 months by different institutions. This is a highly sought course in the field of AI and ML, which covers a number of conceptual areas including those like ML, computer vision, nuances of vision learning, NLP, cloud and MLOps etc. Any candidate with a valid Bachelors degree and at least 1 year of professional experience can apply to this course. Further key details about the executive PG diploma in AI and ML are provided below: Course Name Executive Program Online In AI and Machine Learning Course Level Postgraduate Course Duration 6 Months to 24 Months Course Fee INR 70,000 to INR 3,50,000 General Eligibility Candidate must have completed Bachelors from a Recognised University with at least 50% Aggregate Marks Candidates from Any Academic Background can apply although some institutions may demand a mathematics/science/statistical background Candidates must have at least 1 Year of Professional Experience in a Relevant Industry Entrance Exam (If Applicable) TOEFL/IELTS etc. in addition to basic eligibility criteria Major Subjects & Papers Machine Learning Computer Vision Deep Learning Natural Language Processing (NLP) Cloud & MLOps etc. Institutions/Platforms Offering Course IIIT Bangalore, Caltech University Online, Purdue University Online, IIM Kashipur, IIT Kanpur, IIM Raipur, upGrad etc. (ii) Postgraduate Diploma in Artificial Intelligence & Machine Learning Many reputed institutes including the IIMs, IIIT Bangalore, GLA University etc. offer a postgraduate diploma in AI and ML that is of a duration of 10 months to 13 months, with an approximate fee range of INR 30,000 to INR 3,35,000. The course is open for candidates having completed their Bachelor’s degree with mathematics or statistics as one of their subjects. A year of professional experience is also desirable in applications. Commonly covered topics in this course include Git and Github, regression, data analytics, neural networks etc. Elaborated below are a few of the key highlights of the course. Course Name Postgraduate Diploma (PGD) in AI & ML Course Level Postgraduate Course Duration 10 Months-13 Months Course Fee INR 30,000 to INR 3,35,000 General Eligibility Candidate must have completed a Bachelor’s degree with Mathematics or Statistics as one of the subjects from a Recognised Institution Candidate must have at least 1 year of professional experience in the domain Entrance Exam (If Applicable) Online Eligibility Screening Test (Not Mandatory) Major Subjects & Papers Introduction to Git and GitHub Advanced Regression Neural Networks Unsupervised Clustering Generative AI MLOps etc. Institutions/Platforms Offering Course IIIT Bangalore, IIM Kashipur, IIM Raipur, upGrad, Great Learning, GLA University etc.
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