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Machine Learning (ML) is one of the evolving technologies that witnessed its fast adoption in multiple industries. Today, the demand for ML engineers is growing by leaps and bounds as more and more companies need them. This is the reason why Machine Learning emerged as one of the most desirable career options among those who are looking for innovative career options.
Machine Learning teaches learners about generating computer systems that can learn through statistical models and algorithms. Whether you are looking to grab the best job opportunities in the ML field or seeking to handle any Machine Learning projects, you need to do the Machine Learning Online Certification Courses to improve your skills. It helps you achieve your career goal.
Best 10 Machine Learning Certification Courses in 2023
1. Machine Learning Projects for Final Year Students by Project Academy
Machine Learning is one of the rapidly growing technologies that includes the vast potential to transform multiple industries and can impact your day-to-day lifestyles in several ways. This is the reason why it has become one of the popular choices for study mainly for job seekers and engineering students. There are numerous reasons why ML projects add value to these students and also job seekers. These projects are helpful for students to upskill their computer vision, natural language processing, and deep learning.
Project Academy follows a unique methodology for training learners in Machine Learning. Students can get a chance to work on real-world projects and earn hands-on experience, and require support and guidance. With personalized coaching, students get a wonderful opportunity to achieve their learning goals successfully.
2. CITL – Natural Language Processing and Computer Vision for the Detection of Potentially ILLicit Messages in Linked and Twitter
One of the well-known Machine Learning institutes located in Bangalore, CITL provides necessary things for improving skills and also materializing knowledge of the classroom into a fully practical experience for many students.
A large number of victims often lose their dignity because of human trafficking. At present, this type of crime is on the rise, social networks mean hidden messages for advertising these kinds of unlawful activities.
The study program focuses on using natural language processing for finding those tweets that may promote these kinds of unlawful activities and thus take advantage of children. It’s possible to find images of kids under 14 years old as URLs and images received in unlawful activities. These are categorized and processed through age group and gender.
3. Python and Machine Learning Internships in Bangalore By Intern Gurukul
It’s a Python-specialized course that introduces several basic programming concepts that include networked application program interfaces, data structures, databases, and more. It allows learners to work on many real-time projects and also helps them use various technologies learned throughout the specialization for creating and designing their applications for processing, data retrieval, and also visualization.
The course covers various topics including Introduction to Python, Using Variables in Python, Basics of Programming in Python, Principles of Object-Oriented Programming (OOP), SEQUENCES, Dictionaries, And Sets, Connecting to SQLite Database, Developing a GUI with Tkinter, File Handling Using Python, Exception Handling Using Python, Networking, and Application of Python in Various Disciplines.
Duration: 3 Weeks
4. Applied Machine Learning in Python
Applied Machine Learning in Python is another popular course that you can consider pursuing. Those who join this course learn about various fundamentals of Machine Learning through sci-kit-learn and Python. The course is best for those who have some prior knowledge of Python and also possess knowledge in probability and algebra.
If you are interested in learning the fundamentals of Machine Learning and its uses in different sectors, then this course is the right option for you. The course is available with a range of materials such as quizzes, lectures, videos, programming assignments, and more.
Duration: 31 hours
Mode: Online
Key Advantages:
• Grasp basics of applied Machine Learning
• The course consists of various quizzes, programming assignments, projects, and more
• Get industry-oriented content
• Learn at your own pace
5. Machine Learning Scientist with Python
Machine Learning Scientist with Python focuses on training learners in building, evaluating, and deploying ML models by using Python. The course is mainly designed for those who possess programming experience and wish to learn the way to use the techniques of Machine Learning to solve real-world problems.
The course helps learners build solid practical skills and concepts in Python programming. It focuses on various topics including Feature engineering, data preprocessing, model selection, deployment, and evaluation.
Duration: 93 hours
Mode: Online
Key Advantages:
• Grasp in-depth skills in data science and Machine Learning
• Grab opportunities for career advancement
• Interact with industry experts
• Learn with your schedule
6. Machine Learning Scientist with R Career Track
The program aims to help learners improve their proficiency in ML with the use of R. It covers varieties of topics including data visualization, data manipulation, modeling, statistical, and ML algorithms. The course is most appropriate for those who are keen on pursuing a career in data analysis, Machine Learning, or data science.
The course is divided into four different parts including Fundamentals of R Programming, Data Manipulation with R, Data Visualization with R, and Machine Learning with R. Joining this study program helps you boost your expertise and knowledge in these areas.
Duration: 57 hours
Mode: Online
Key Advantages:
• Get a comprehensive curriculum
• Boost industry-relevant skills
• Improve the hands-on experience
• Grab career advancement opportunities
7. Python for Data Science and Machine Learning
It’s another popular course that helps learners grasp the basics of Python programming, Machine Learning, and Data Science. This course is structured mainly for beginners and needs no prior knowledge of data science or programming.
It focuses on different topics including data analysis, Python basics, Machine Learning algorithms, statistics, data visualization, and natural language processing. The course includes different sections, which focus mainly on various aspects of Machine Learning and Data Science. Every section comes with coding exercises, video lectures, assignments, quizzes, etc. to help learners boost their knowledge and skills.
Duration: 25 hours
Mode: Online
Key Advantages:
• Learn the application of NumPy for Numerical Data
• Learn the application of Pandas for Data Analysis
• Learn how to use Python for Machine Learning and Data Science
• Learn the way to implementation of Machine Learning
8. Machine Learning with TensorFlow on Google Cloud Platform Specialization
It’s another online certification of Machine Learning that helps learners improve their both knowledge and skills required for developing and deploying ML models by leveraging TensorFlow and Google Cloud Platform. The specialization includes four courses: How Google Does Machine Learning, Launching into Machine Learning, Intro to TensorFlow for Deep Learning, and Production Machine Learning Systems.
Each of the same covers a particular topic in-depth. Learners grab opportunities to access Google Cloud Platforms, which offer different kinds of tools and services for providing training and also deploying machine learning models.
Duration: 5 months
Mode: Online
Key Advantages:
• Get a sound understanding of the TensorFlow machine learning framework and its various usages on the Google Cloud Platform.
• Get hands-on experience in creating and training ML models with the use of Google Cloud Platform and TensorFlow
• Boost skills in neural networks
• You can apply your skills to a real-world problem as well
9. Machine Learning Stanford Online
Machine Learning Stanford is an online course that covers an in-depth overview of the fundamentals of this technology. It covers numerous topics including supervised and unsupervised learning, neural networks, deep learning, and more.
The course is mainly designed for those individuals who possess a background in mathematics or computer science or those who are keen on learning about different algorithms and usages of Machine Learning.
The course is structured as a combination of a series of quizzes, lectures, assignments, and many more. Being a self-paced course, it enables students to work through different materials at their own pace and schedule.
Duration: 3 months
Mode of Teaching: Online
Key Advantages:
• Focus on real-world applications of machine learning.
• Improve understanding of the use of machine learning practically
• The course is available in different languages including English, Spanish, and Chinese
• Focus on the basics of Machine Learning
10. Professional Certificate in Foundations of Data Science
The course makes you capable of exploring various problems through a new lens. It helps you learn the practice of data combining with Python programming skills to find out the encountered issues in any area of future job or study. The program is helpful for those aspiring data scientists by teaching them in terms of the way to observe a wide array of real data sets, including economic data, geographical data, and various social networks.
The course focuses on teaching inference that helps you in quantifying uncertainty and also determines the overall accuracy of your estimation. The course focuses on making data science accessible to everyone.
Course Duration: 4 months
Mode of Teaching: Online
Key Advantages:
• Improve data and computational thinking skills
• Develop critical thinking to get a conclusion based on incomplete information
• Make predictions based on machine learning
• Get real-world examples for communication and interpretation of data and results.
Final Thoughts
So, above are some of the top-rated online Machine Learning certification courses that are hugely popular among engineering students and job seekers. Run by industry experts, these courses help you improve your existing skills and experience and thus help you make your professional career successful.
Frequently Asked Questions (FAQs)
1. Why should you learn machine learning?
Machine Learning is important mainly because it provides a complete view of trends in business operational patterns and customer behavior, and also supports the development of various new products. Most companies including Google, Facebook, Uber, and others adopted this technology and made them a core part of their operation.
2. What is the best machine learning online certification course?
Some of the best Machine Learning online certification courses include Applied Machine Learning in Python, Machine Learning Scientist with Python, Machine Learning Scientist with R Career Track, and many more.
