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.
Best Machine Learning and AI Courses Online
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.
Enrol for the Machine Learning Course from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.
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.
In-demand Machine Learning Skills
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.
The course imparts strategies that involve discussions, assignments, and seminars. The following list shows some key subjects covered in this data science and machine learning course:
- Fundamentals of Artificial Intelligence
- Data Analytics
- Machine Learning
- Mathematics and Statistics for Artificial Intelligence
- Advance Programming using R and Python
This data science and machine learning course provide the aspirants a chance to implement academic learning in practical scenarios. Moreover, it develops skills that prospective employers are looking for.
Career options after the PG Diploma in Machine Learning and AI
The graduates of this course can find a course in both the public and private sectors. It also allows them to work as tutors. The skills related to machine learning with Python will help them to elevate tier career graphs and learn other evolving technologies. Some prominent job roles these graduates can work on are
- Business Analyst
- Data Analyst
- Automation Engineer
- Automation Engineer
- Data Engineer
- Robotics Architect
- Data Scientist
- Automation Architect
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.
How can this course land you a bright career?
This data science and machine learning course deal with the practical application of AI and Machine Learning. It teaches all fundamental concepts related to these two technologies. It provides you with diverse job opportunities at the foundation level that help you to hone your skills and work on more advanced job roles in the future. Certain job roles after this course involve job training to train the candidates thoroughly. The motive behind this is to give practical exposure to the candidates.
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.
You will learn from its all-inclusive collection of case studies that industry experts select. So, you get a detailed understanding of how deep learning influences industries like finance, telecom, automobile, and more.
Students with any Bachelor’s Degree are eligible for the online machine learning course. There is no minimum work experience required.
Apart from Bachelor’s degree students, the following people can also apply for this course.
- IT professionals willing to have a career transition as machine learning and data scientists engineers
- Professionals intending to progress in their IT career
- Business intelligence and machine learning professionals
- Project managers and software developers
Various job roles Machine Learning & Data Science professionals perform
1. Senior Data Scientists:
This course of machine learning for mathematicians and data science professionals can help you to work as a senior data scientist if you hold profound experience. The senior data scientists understand the issues and develop models depending on the data collected. Moreover, they manage a team of data scientists.
2. AI Experts:
They develop strategies on technologies and frameworks to develop AI solutions. They also contribute to organizational success.
3. Machine Learning Experts:
They develop statistical models with business data using several Machine Learning tools.
4. Senior Business Analysts:
They extract data from relevant sources to perform business analysis. Moreover, they create dashboards, reports, and metrics to supervise the company’s performance.
5. Big Data Specialists:
They develop and deal with pluggable service-based frameworks which are customized to import, enhance, transform, and authenticate data.
6. Applied Scientists:
They create Machine Learning models to develop intelligence for various products and services of the organization. They are familiar with many aspects which machine learning for mathematicians professionals knows.
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.
This PG program will help you to learn Clustering, Classification Algorithms, NLP, and Decision trees. It helps you to develop intelligent solutions like smart games, chatbots, and image classifiers. The topics covered in this machine learning with Python course:
- Introduction to Python: It teaches data structures and object-oriented programming.
- Math for data analysis: It enhances your knowledge of matrices, linear algebra, Eigen vectors, and their usefulness for data analysis.
- Python for data analysis: It familiarizes you with how Python is used for Data Visualization and Data Manipulation.
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 Certificate Program in Machine Learning
The program curriculum includes Basics of Python, Unsupervised Learning, Supervised Learning, Large Scale Machine Learning, Data Streams, and Introduction to Deep Learning. There are three assignments on Clustering, Classification, and Deep Learning included in the program.
During the course of 7 months or 30 weeks, students are taught various data science concepts that help them implement ML algorithms and extract meaningful insights from data ML models. There are rigorous live classes covering data structures, control structures, functions, Linear Algebra, Probability and Statistics, Association Rule Mining, Anomaly Detection and Hypotheses Testing, Linear Regression and Logistic Regression, SVM and its Variants, Index Structures (KD-tree, MinHash, Locality Sensitive Hashing), to mention a few.
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 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.
Significance of machine learning courses
One of the key reasons to learn machine learning is that its algorithms assist in decreasing costs. The related techniques create some ethical issues. Machine learning is being used in many tools used by data scientists. The relevant courses help you to organize the given data and use the appropriate tools to obtain the maximum benefits from the input. Let’s go through the reasons justifying these courses’ importance:
- Increases business efficiency:
Machine learning avoids waiting in the physical store to pay for products. The pre-built machine learning techniques identify the items and automatically include them in their virtual carts. So, you can pursue a data science and machine learning course to learn how to enhance the efficiency and processes of a business. Consequently, an efficiently working business will benefit the customers.
2. Improved customer analysis:
The widespread use of automation tools has helped businesses to understand customers’ requirements. You can pursue a Machine learning course to learn how to analyze the customers’ needs. Moreover, it teaches you how to organize patterns and assess trends in customer preferences and data.
3. Customize your marketing campaigns:
Machine language collects the data and evaluates it. You can choose a suitable course for machine learning for mathematicians or other related courses to learn how to personalize your campaigns and content for your customers. This personalization is based on customers’ weather, location, and other data.
4. Product recommendation:
You can use machine learning algorithms to recommend the products to the customers based on what they have viewed, bought, or added to the cart previously. You can learn the related algorithms if you pursue a machine learning course.
5. A step forward into a data science career:
Machine learning skills help you to widen your career opportunities. These skills can help you to become a data scientist. Most of the machine learning courses’ curriculum is designed to impart expertise in both these fields. The machine learning with Python course or other relevant courses gives you an added advantage of deriving technologies and solutions that can be useful in the future. So, when the time comes, you will be equipped with demanding skills and thus secure your career.
Popular AI and ML Blogs & Free Courses
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.
If you are looking for a short term Machine Learning Course check out IIT Delhi’s Advanced Certificate Machine Learning in association with upGrad. IIT Delhi is one of the most prestigious institutions in India. With more the 500+ In-house faculty members which are the best in the subject matters.
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.
What should I check before selecting a machine learning course?
Before you select a machine learning course it is critical to understand what machine learning is and if it is the best use of your time to learn it. There are some important things to keep in mind. Before starting the course, you should check whether the course will teach you the concepts and give you hands-on experience, or it is just another course that will get you frustrated with theory as there is no application. It is important to check the course syllabus to decide if it is what you are looking for.
How many months will it take to learn machine learning?
It can take anywhere between 3 months to 3 years to learn machine learning. It depends upon how good you learn, you can learn coding in 1 month and machine learning in a year. It is hard to make predictions in a specific time-span. It is because Machine Learning is such a vast area that has so many different aspects. It can be divided into 3 main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning. Each of these three areas has different learning problems that are difficult to solve. Depending on your background, you may find some areas easier to learn than others. If you want to learn about all the details of Machine Learning, you will have to put a lot of effort into it.
What is the salary of a machine learning expert?
There is no one size fits all salary and compensation package that you can expect from being an expert in the area of machine learning. Different employers will offer different salary packages. The starting salary for a machine learning job can be anywhere between $50,000 and $80,000 in the year 2015. This is the salary you can expect of a machine learning expert with average experience. An expert with several years of experience in the field can expect to get a salary of $100,000 to $130,000.