Looking for online machine learning courses?
Machine learning is one of the most intriguing fields in computer science. It is fast-paced and rewarding. Widely growing applications ensure endless opportunities in the future. Today every company wants to make its systems intelligent and efficient. Machine learning models are already a part of our lives; we see them in the form of chatbots, advertisement services, spam filtering, fraud detection, and more.
Machine learning allows us to detect patterns in the data and create mathematical models for things that would not be possible for humans to do manually. Online Machine learning courses usually focus on teaching the algorithms of machine learning, their mathematical functioning, and their application with programming.
There’s cut-throat competition for everything. But if you can get an edge over your peers, you can quickly get the high-paying jobs available in the market. online machine learning courses can help you get that edge.
Here is a criterion you must consider when selecting a machine learning course for yourself:
- The online machine learning course must entirely be focussed on machine learning.
- The teaching should be done using free and open-source programming languages like Python, R, Octave, etc.
- Free and open-source libraries should be used for the languages. It is preferred that commercial packages are excluded from the course.
- Assignments and hands-on experiences are essential when learning machine learning. The video and text tutorials are not enough for a vast subject like machine learning. Therefore, the machine learning course must include practice assignments for an immersive learning experience.
- The course must also make the student understand how the algorithms work mathematically. Understanding mathematical working is necessary to understand the applications and develop programs to solve real-life problems.
- Students and professionals who consider their machine learning course for their career improvement usually have their classes and jobs running along, so it is better if the course is self-paced and on-demand.
- The instructors must teach energetically and engagingly. They must teach from real-world industry examples for students to relate the topics to real life.
- Last but not least, it is recommended to check the ratings of the online machine learning course before enrolling.
Let’s learn more about the online machine learning courses.
Top Machine Learning Courses Online
These online machine learning courses help you get the experience you need to enter new sectors. If you want to switch careers or get into a fast-growing industry, taking a course would be very beneficial.
Now let’s have a look at the top machine learning courses online:
1. PG Diploma in Machine Learning and AI
This online machine learning course is provided by upGrad and is India’s best-selling program with a 4.5-star rating, and it includes in-demand skills such as Deep Learning, NLP, Reinforcement Learning. With this machine learning course, you will work on more than 12 industry level projects and learn working on multiple programming tools. This course is ideal for Engineers, Software/IT/Data Professionals who are looking to boost their careers. To know more about the courses, visit the program’s page.
This online machine learning course is specially designed for working professionals and consists of more than 450 hours of extensive learning, 30+ case studies and assignments, ten practical hands-on Capstone projects, and more.
You will also be provided with more than 25 mentorship sessions from industry experts and live coding classes and profile building workshops. These types of online machine learning courses are in high-demand in 2020. If you are looking for best machine learning courses to update your profile, this is a course you should consider.
After completing all the modules, you get a PG Diploma from IIIT Bangalore. IIIT-Bangalore is a well-known university that is AICTE approved. It comes in the Top 70 Engineering Universities as per the NIRF Rankings. You get to gain IIIT-B Alumni status and connect with a global network of accomplished IIIT-B alumni, machine learning industry experts, and experienced fellow learners. This can be a step closer to the opportunities abroad.
Eligibility Criteria for the course:
You need a 50% (or equivalent) Bachelor’s Degree preferably in a Mathematical/ Statistical background. It is recommended that you have one year of work experience in programming or analytics.
2. PG Certification in Machine Learning and Deep Learning
Get an edge in your career with upGrad’s PG Certification in Machine Learning and Deep Learning. Learn Exploratory Data Analysis, Regression Analysis, Unsupervised Learning, Neural Networks, Gesture Recognition & more from industry experts and get dedicated 1:1 personalized mentorship from them.
This online machine learning course provides you with 360-degree career support. You get theoretical as well as practical understanding of machine learning with the cutting-edge curriculum. You will learn multiple languages and tools to stand apart from the competition and build a strong foothold in the machine learning and artificial intelligence industry.
This online machine learning course is specially designed for working professionals and includes more than 240 hours of learning, 5+ Industry projects, case studies, and assignments. If you take your professional online machine learning courses from a reputed and reliable provider, you’ll get to try out your knowledge on real-life projects as well.
On the completion of the online machine learning course, you receive prestigious recognition from IIIT-Bangalore. This PG certification is given by IIIT-Bangalore, which means you also get to build strong networks and opportunities to connect to Machine Learning Industry experts & your experienced fellow learners.
Moreover, you also get placement assistance from the job opportunities portal, hiring drives, resume building, and more.
Students with any Bachelor’s Degree are eligible for the online machine learning course. There is no minimum work experience required.
3. PG Certification in Machine Learning and NLP
This online machine learning course will help you in kickstarting your machine learning journey with personalized mentorship from industry experts. Learn from seven hands-on projects & get 360-degree career assistance.
This course curriculum includes Naive Bayes, Tree Models, Unsupervised Learning, Lexical, Syntactic & Semantic Processing, and Building a ChatBot. It has over 250 hours of extensive learning, more than five Industry Projects, Assignments and Case Studies and 1:1 Personalized Mentorship from Machine Learning Industry Experts. If you are looking for best machine learning courses to update your profile, this is a course you should consider.
You also receive placement support from upGrad with this online machine learning course. You will have a personal student success mentor and a career mentor for 360-degree support for your career. The PG certification in Machine learning and NLP is given by the esteemed IIIT Bangalore.
Students with any Bachelor’s Degree are eligible for the machine learning course, and there is no minimum work experience required.
4. Master of Science in Machine Learning & AI
This is India’s best-selling program with a 4.5-star rating. In this online machine learning course, you learn skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools & a dissertation. It is ideal for Engineers, Software/IT/Data Professionals looking to boost their careers.
This machine learning course is the only online M.Sc in AI & ML for working professionals. It is recognized by WES (World Education Services). It includes 30+ Case Studies, Assignments & 10 Capstone Projects to choose from. You also get more than 25 mentorship sessions from industry experts.
This online machine learning course gives you the LJMU & IIIT Bangalore Alumni Status. On completing all the modules, you get your prestigious master’s Degree from LJMU (Liverpool John Moores University, UK). And you are also assigned an LJMU Supervisor for guidance on Research & Dissertation. The offline cost of the same program is ten times more than the online course.
You receive placement support from upGrad with this course. You will have a personal student success mentor and career mentor for 360-degree support. Taking this machine learning course also unlocks your access to Global Job Opportunities with an M.Sc. from LJMU, UK.
You need a 50% (or equivalent) Bachelor’s Degree preferably in a Statistical/ Mathematical background. There is a recommended one year of work experience in analytics/programming.
5. Advanced Certification in Machine Learning and Cloud
In Advanced Certification in Machine Learning and Cloud course, you will learn deploying Machine Learning models using Cloud computing with India’s most advanced certification program, exclusively from IIT Madras & upGrad. This online machine learning course is taught by IIT Madras faculty. IIT Madras is India’s No.1 Ranked Engineering College. This is designed for Senior Working Professionals such as Engineers, Software and IT Professionals, Data Professionals.
This online machine learning course includes 16+ Case Studies and Assignments, 450+ Hours of Learning, 25+ Industry Mentorship Sessions, four weeks Industry Capstone Project and, Practical Hands-on Workshops. With the fundamental concepts of Cloud, Big Data Processing, and ML, the student also has an immersive, hands-on experience of these concepts. The case studies make the learner upskill in the area of cloud and machine learning.
The top skills to learn from this machine learning course are, Python, BD processing using Spark, Deploy ML Models, Supervised & Unsupervised ML Models, Predictive Analytics & Statistics. If you are looking for best machine learning courses to update your profile, this is a course you should consider.
You learn from real-life industry projects sponsored by top players across industries. Some of the projects included are IMDb Movie Analysis, Celebrity Recognition, Twitter HashTag Analysis, Recommendation System using ALS, House Price Prediction, Click-Through Rate Prediction, Heart Disease Prediction, and more.
This advanced certification is globally accepted and is India’s most advanced cloud program.
Along with the online machine learning course, there are more benefits to this program:
- You get personalized career Counselling from experts.
- Specific and personalized resume feedback.
- One-on-one mock interview preparation by industry mentors with detailed feedback.
- Job assistance is also given. You get a chance to interview for 300+ hiring companies partnered with upGrad. You get job opportunities in fields of Big Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, etc. If you want an overview of upGrad’s placement stats, read on here, to find out.
A Bachelor’s degree with minimal understanding of any programming languages like R/Python/Java/C/C++ is required for the course.
After the course recommendation of the best machine learning courses here is a short guide to help you with your journey of machine learning. There are certain prerequisites for a maximum number of machine learning courses, let’s discuss them:
These four are general components that are needed to understand how exactly machine learning works.
The next important thing is python, and you need to learn to code in python as most machine learning courses use python. Some online machine learning courses also use Octave and R, but you must learn python as you will require it eventually in your career or learning journey.
After learning these prerequisites, you will be able to understand how machine learning algorithms work.
Here is a basic set of the Fundamental Algorithms of Machine Learning which you should be aware of:
- Naive Bayes
- Random Forests
- Decision Trees
- k-Nearest Neighbors
- k-Means Clustering method
- Linear Regression
- Logistic Regression
- Support Vector Machines (SVM)
There are many more algorithms. However, these are the essential ones.
After doing the basics of machine learning techniques, there are a few advanced techniques that you should learn, such as Boosting, Reinforcement Learning, Ensembles, Neural Networks and Deep Learning, and Dimensionality Reduction.
Another essential thing to remember is to practice the techniques you learn. You should develop a habit to apply the learned technique to your project for complete understanding.
Work on a Project
Machine learning through an online mode is quite challenging and simultaneously extremely rewarding. Just viewing videos and doing quizzes doesn’t make you learn the concepts completely. The best way to learn machine learning is to take some side projects that use different datasets and have different goals than the course.
When you start to learn machine learning, you should find data on which you can apply your new skills. Only with experimentation and trial and error, you will learn different techniques, make predictions, and measure your results. Working on projects makes you better understand the machine learning landscape. And as you get into more and more advanced concepts such as Deep Learning, there are numerous techniques and methods to look forward to.
Read More: Machine Learning Project Ideas
Research and Read
Remember that machine learning is a rapidly evolving field, and here new applications and techniques are introduced every single day. Once you have learned the fundamentals, try to read research papers and articles about the topics of your interest.
There are many websites where you can keep track of the new papers. “Google Scholar” is one such website where you can enter keywords and click the create alert option to get email alerts. You have to develop a habit to regularly read and research to keep yourself updated on new techniques.
Hope you found our list of online machine learning courses useful. Machine learning is interesting and highly useful to many industries. You must be careful in choosing the best machine learning course for you. There are certain prerequisites for machine learning courses that you must learn for a smooth learning journey. Also, along with completing courses, it is essential to have hands-on experience and do side projects of your own.
Working on your projects will help you understand the concepts in-depth, and it will allow you to apply your knowledge to innovative real-life problems. You must make a habit to practice newly learned techniques and regularly read research papers and articles to be updated on new techniques and applications.