Online Machine Learning Certificate Courses
how to start machine learning certifications? Machine learning is the famous AI specialization and its demand is increasing quickly. There will be the future world when everything is enabled by AI. So, Machine learning is the best course to make your future in it. You can join the Online Machine Learning Certificate Courses, develop your learning skills through bounds and leaps, and get expert knowledge.
With the best machine learning courses for your career growth, you will get knowledge of important ML concepts, such as supervised learning, ML algorithms, vector machines, and unsupervised learning. You will get placement support after complete your course. You will get opportunity to work on real time projects and assignments after enroll in online ML course. It shapes your career and helps you to become ML engineer and job opportunities in different fields. This course is best fits for students who have dive in Machine learning and related domains. If you want to get systematic formal education and career support, then this is the best course for you. Here are the list of online Machine Learning courses available
Course |
Duration |
Machine Learning in Python Course |
12 Hours (Self-Paced) |
Machine Learning Algorithms |
2 Hours (Self-Paced) |
TensorFlow Python |
2 Hours (Self-Paced) |
Machine Learning Crash Course with TensorFlow APIs |
15 Hours |
Machine Learning on Google Cloud Specialization |
2 Months |
Key Concepts of Machine Learning
There are important machine Learning algorithms used in this field and built your successful career. To get the detailed idea about Machine learning, you should know about its types and algorithms.
Types of Machine Learning
Here are the different types of Machine learning
- Supervised learning
Supervised learning involves training models on labelled data. It shows input data come from output labels. Examples are regression tasks and classification.
- Unsupervised Learning
This Machine learning type deals with unlabeled data. It helps you to find intrinsic structures and patterns in input data. Examples are association and clustering.
- Reinforcement learning
This type of machine learning involves the model to make decisions. You can make sequence of decisions by penalize or rewarding it on basis of actions. It is commonly used in game robotics and playing. You will join the course and get certification at a reasonable Machine Learning course fee with a Certificate.
Key algorithms of Machine learning
Here are the algorithms of Machine learning
- Linear regression: It is used to predict continuous value
- Logistic regression: It is used to solve binary classification problems
- Decision trees: Used for regression and classification levels
- Support Vector Machines ( SVM): It is used for classification tasks
- Neural networks: It is used for complex pattern recognition tasks
What Topics Are Covered in Machine Learning Courses?
What topics are typically covered in machine learning courses? Here are the important topics covered in online machine learning courses. Below, we tell you core subject topics with their details
Category |
Topics |
Details |
Introduction to Machine Learning |
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Mathematics and Statistics for Machine Learning |
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Data Preprocessing and Exploration |
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Supervised Learning Algorithms |
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Unsupervised Learning Algorithms |
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Advanced Topics in Machine Learning |
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Model Evaluation and Validation |
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Practical Implementation |
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Special Topics and Case Studies |
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Why Learn Machine Learning
Join the best machine learning courses for your career growth is a great decision. The field allows you to develop your data science skills and get career opportunities and programs across various industries. Here are the best reasons to study machine learning
- High demand and growth
The demand for AI and machine learning experts is expected to increase by 40% by 2027. As the data era and the need for data-driven decision-making grow throughout industries, the job market for machine learning experts is expanding rapidly.
- Lucrative salaries
Machine learning jobs are the most-paying in the tech industry. Roles like Data Scientist, AI Engineer, and Machine Learning Engineer get salaries starting from INR 15-25 Lacs. The demand of the machine learning field makes it an attractive and rewarding career.
- Dynamic world
Machine learning offers a dynamic world of complex problems to resolve. The field demand for consistent learning and model to new technology and methodologies, making it an exciting pace for problem-solvers and those obsessed with drive the limits of what machines can do.
- Broad applications
Machine learning has broad applications in industry, from healthcare and education to finance, advertising and marketing. Learning ML skills can open up opportunities across numerous sectors and enable you to make a bright career.
- Automation and efficiency
machine learning course for beginners equips them with knowledge and enables them to automate tasks, enhance operations, and gain valuable insights from data. Professionals with ML expertise are precious assets that assisting companies to leverage data to force innovation and growth.
Career and Salary After Machine Learning Engineer
There are the various job opportunities will available for you after completion of online free machine learning courses. You will develop your knowledge and skills and get access to a lot of career opportunities with great salary ranges.
Job Title |
Average Annual Salary |
Machine Learning Engineer |
8-20 LPA |
Data Scientist |
6-18 LPA |
AI/ML Research Scientist |
10-25 LPA |
Data Analyst |
4-10 LPA |
Business Intelligence (BI) Developer |
5-12 LPA |
Big Data Engineer |
7-15 LPA |
Natural Language Processing (NLP) Engineer |
8-18 LPA |
Computer Vision Engineer |
9-20 LPA |
Robotics Engineer |
6-15 LPA |
AI Product Manager |
12-30 LPA |