Top 9 Free Machine Learning Courses To Fast-Track Your Career In 2024

1. Machine Learning Basics

Learn the basics of Machine Learning with our free Machine Learning course that provides a solid foundation and key skills to help machine learning engineers, data scientists, and AI professionals. Get hands-on experience in important areas like data preprocessing, time series modeling, text mining, supervised and unsupervised learning. 

The knowledge of machine language is preferred for many evolving job roles like data scientist, data analyst, machine learning engineer, AI engineer. With AI adoption being in the budding stages, the demand for machine learning professionals is on the rise. Companies across industries are looking for skilled machine learning professionals for their AI-powered projects. 

After completing the free machine learning course, you will be awarded a Completion Certificate, which you can update on your resume or on social media platforms 

2. Introduction to Artificial Intelligence Course

Learn the basics of AI with the free artificial intelligence basics program and other free machine learning courses that provide an overview of AI concepts and workflows, plus the basics of machine learning and deep learning. Gain AI knowledge alongside working on specific use cases. Learn the difference between concepts like supervised, unsupervised, and reinforcement learning. This course is the ideal launchpad for anyone looking to become an AI engineer. 

AI is exponentially being used in every field from retail, shopping, IoT to sports, analytics, and manufacturing. There’s a staggering demand for AI professionals in every industry. If you’re looking to break into the market, there is a variety of career path options to consider after completing this course. 

Once you’ve completed the free AI courses, you will be awarded a Completion Certificate, which you can update on your resume or on social media platforms.

3. Deep Learning for Beginners

SkillUp brings you the free introductory course to Deep Learning – one of the most in-demand skills in AI. This foundations program covers the fundamental concepts of deep learning, TensorFlow and its installation, various deep learning frameworks, convolutional neural networks, recurrent neural networks in Python, and Deep Learning applications.  

The free Deep Learning course provides a pathway to break into the world of AI. Enroll now to gain the knowledge and skills to advance your career.

Get Completion Certificate after every course is completed, which you can update on your resume or on social media platforms.  

4. Getting Started with Machine Learning Algorithms

Become an expert in Machine Learning and AI with our free course to learn Machine Learning algorithms. Gain in-depth knowledge on supervised learning algorithms and unsupervised learning algorithms, k-means clustering, PCA, reinforcement learning, and Q-learning. Discover how machine learning algorithms work and how you can apply them in data analysis and automation. By the end of the course, you’ll gain the skills required for a machine learning engineer.  

Common career opportunities you can pursue after completing such free machine learning courses are Machine learning engineer, Data scientist, Artificial Intelligence engineer, NLP scientist, etc.

5. Introduction to Neural Network

Learn neural networks from scratch with free neural network training. The course covers the basics of neural networks and their different types. Topics covered include data processing by neurons, backpropagation, gradient descent algorithms, convolution neural networks, and recurrent neural networks. 

Knowledge of neural networks is preferred for in-demand job roles like Neural network engineer, Data scientist, Data analyst, NLP scientist. Upon course completion, you will be awarded a Completion Certificate, which you can update on your resume or on social media platforms 

6. TensorFlow for Beginners

This course is designed to make you understand TensorFlow – a popular end-to-end open-source framework for deep learning. This course will teach you the basics of TensorFlow, how to install it on Ubuntu, TensorFlow object detection API, and identification of objects in images and videos. Learn machine learning skills with TensorFlow to build and train powerful models. 

Build TensorFlow skills to get job-ready for lucrative careers like Machine learning engineer, Data scientist, Business intelligence developer, NLP scientist. After completing free machine learning courses, you will be awarded a Completion Certificate, which you can update on your resume or on social media platforms.

7. Introduction to Machine Learning with R

The free course on Machine Learning with R teaches the basics of machine learning, its algorithms, like linear regression, logistic regression, decision tree, random forest, SVM, hierarchical clustering techniques, and its varied applications. The program also covers R programming in detail plus time series analysis in R. 

There has been an exceptional surge in demand for skilled machine language engineers across industries worldwide. Learn machine language with R to make most of the career opportunities like ML Engineer, Analytics Manager, Business Analyst, Information Architect, Developer, etc.

8. Image Recognition Basics for Beginners Course

The free Course to Learn Image Recognition Basics helps learners focus on image processing and image recognition techniques for object detection. Get trained on how to process data from image files, classify types of images and work with various neural networks. 

After completing the image learning certification, common career opportunities available are Machine learning engineer, Data scientist, Business intelligence developer, NLP scientist. 

Once you’ve completed the course successfully, you will be awarded a Completion Certificate, which you can update on your resume or on social media platforms. 

9. Introduction to Supervised and Unsupervised Machine Learning

The free course to learn Supervised and Unsupervised Machine Learning Basics will enable learners to explore different classification and regression techniques. Topics covered include decision trees and clustering methods. This course provides a comprehensive understanding of supervised and unsupervised learning.  

If you want to step into the world of Machine Learning, accelerate your career with the Supervised & Unsupervised Machine Learning course by Simplilearn. Common careers after this certification are ML engineer, analytics manager, business analyst, and information architect. 

Final Thoughts

Job roles and requirements are changing faster than ever, making skill gaps more evident across organizations and industries. It is predicted that today’s skills might fade into oblivion in the next 3 to 5 years. This is why professional survival and growth depend largely on your ability to stay up-to-date by gaining new and emerging skills. While these nine free courses are excellent places to start, there is a whole world of fantastic, future-ready courses available that you can explore for a fraction of what you’d have to pay for a traditional college degree. If you’re serious about giving your career a push in the right direction, they are worth seeking out.