Upskilling is the latest trend in the workplace, and it’s easy to see why. Learning additional skills increases your capabilities and gives you a competitive advantage in the job market. To have a successful career, it makes sense to expand your skill set as much as possible.
Professionals with machine learning skills are in high demand. With every industry applying AI in their field, learning machine language is the right way to take your career to the next level. Whether you’re a newcomer to the workforce, a nascent professional looking to change career paths, or a seasoned professional looking to stay on top of things, improving your machine language skills with a course could be your next best bet.
Simplilearn’s Skillup is a platform where you can learn today’s in-demand skills for free. Our courses provide a world-class learning experience that helps you build strong foundational skills for career growth. These courses will help you:
- Earn new skills for free.
- Get training from qualified instructors and industry experts.
- Learn at your own pace.
- Get free guides to career paths, salaries, interview tips, and other valuable resources.
- Choose from over 600 popular skills across a variety of high-demand fields.
- Add industry-recognized certifications to your resume.
We have hand-picked all the free machine learning courses for you.
Choose the certification that best fits your goals.
1. Fundamentals of machine learning
Learn the basics of machine learning with our free machine learning course. This course provides a solid foundation and critical skills to help machine learning engineers, data scientists, and AI professionals. Gain hands-on experience in key areas such as data preprocessing, time series modeling, text mining, supervised and unsupervised learning.
Knowledge of machine language is preferred in many evolving job roles, including data scientist, data analyst, machine learning engineer, and AI engineer. With AI adoption in its nascent stages, machine learning experts are in high demand. Companies across industries are looking for skilled machine learning professionals for their AI-powered projects.
Once you complete the free machine learning course, you will receive a certificate of completion. You can update your certificate of completion on your resume or social media platforms.
Must Read: Machine Learning Interview Questions π―
2. Artificial Intelligence Introductory Course
Learn the basics of AI with the free Artificial Intelligence Fundamentals program and other free machine learning courses that provide an introduction to AI concepts and workflows, as well as the fundamentals of machine learning and deep learning. Gain AI knowledge as you work on specific use cases. Learn the differences between concepts such as supervised learning, unsupervised learning, and reinforcement learning. This course is an ideal starting point for anyone looking to become an AI engineer.
AI is rapidly being used in everything from retail, shopping, and IoT to sports, analytics, and manufacturing. There is an incredible demand for AI professionals across all industries. If you want to break into the market, there are various career path options to consider after completing this course.
Once you complete the free AI course, you will receive a certificate of completion. You can update your certificate of completion on your resume or social media platforms.
3. Deep learning for beginners
SkillUp offers a free introductory course in deep learning, one of the most in-demand skills in AI. This foundational program covers basic concepts of deep learning, TensorFlow and its installation, various deep learning frameworks, convolutional neural networks, recurrent neural networks in Python, and deep learning applications.
Free deep learning courses provide a pathway to enter the world of AI. Register now and gain the knowledge and skills to advance your career.
Get a certificate of completion once all courses are completed. You can update your certificate of completion on your resume or social media platforms.
4. Introduction to machine learning algorithms
Become a machine learning and AI expert with free courses to learn machine learning algorithms. Gain in-depth knowledge of supervised and unsupervised learning algorithms, K-means clustering, PCA, reinforcement learning, and Q-learning. Learn how machine learning algorithms work and how you can apply them to data analysis and automation. By the end of the course, you will have acquired the skills required to be a machine learning engineer.
Common career opportunities that you can pursue after completing a free machine learning course like this one include machine learning engineer, data scientist, artificial intelligence engineer, and NLP scientist.
Did you know?π
73% of companies are investing in machine learning, making machine learning engineers one of the most sought-after and influential roles in shaping the future of technology. Be part of this thriving field! π
5. Overview of neural networks
Learn neural networks from scratch with free neural network training. This course covers the basics of neural networks and their different types. Topics covered include data processing with neurons, backpropagation, gradient descent algorithms, convolutional neural networks, and recurrent neural networks.
Knowledge of neural networks is preferred in high-demand jobs such as neural network engineer, data scientist, data analyst, and NLP scientist. Once you complete the course, you will receive a certificate of completion. You can update your certificate of completion on your resume or social media platforms.
6. TensorFlow for beginners
This course is designed to help you understand TensorFlow, a popular end-to-end open source framework for deep learning. In this course, you will learn the basics of TensorFlow, how to install it on Ubuntu, the TensorFlow object detection API, and identifying objects in images and videos. Learn machine learning skills to build and train powerful models using TensorFlow.
Build your TensorFlow skills to land a high-paying career as a machine learning engineer, data scientist, business intelligence developer, NLP scientist, and more. Once you complete the free machine learning course, you will receive a certificate of completion. You can update your certificate of completion on your resume or social media platforms.
7. Overview of machine learning with R
In the free Machine Learning with R course, you will learn the fundamentals of machine learning and algorithms such as linear regression, logistic regression, decision trees, random forests, SVM, and hierarchical clustering techniques, and their various applications. This program also covers the details of R programming and time series analysis in R.
There has been an extraordinary surge in demand for skilled machine language engineers across industries around the world. Learn machine language with R and make the most of career opportunities as a ML engineer, analytics manager, business analyst, information architect, developer, and more.
8. Image recognition basic course for beginners
Our free course on image recognition basics helps learners focus on image processing and image recognition techniques for object detection. You will be trained on how to process data from image files, classify image types, and work with different neural networks.
Earning an image learning certification opens up common career opportunities such as machine learning engineer, data scientist, business intelligence developer, and NLP scientist.
Upon successful completion of the course, you will receive a certificate of completion. You can update your certificate of completion on your resume or social media platforms.
9. Overview of supervised and unsupervised machine learning
The free Fundamentals of Supervised and Unsupervised Machine Learning course teaches learners a variety of classification and regression techniques. Topics covered include decision trees and clustering techniques. 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 Simplilearn’s supervised and unsupervised machine learning courses. Common careers after earning this certification are ML Engineer, Analytics Manager, Business Analyst, and Information Architect.
final thoughts
Job roles and requirements are changing more rapidly than ever before, and skills gaps across organizations and industries are becoming more pronounced. It is predicted that today’s skills could be forgotten in the next three to five years. For this reason, professional survival and growth is highly dependent on the ability to learn new and emerging skills and stay current.
These nine free courses are a great place to start, but there are also great forward-looking courses around the world that you can explore at a fraction of the cost you’d have to pay for a traditional university degree. They are worth seeking out if you are serious about pushing your career in the right direction.
If you want to be active in the field, be sure to check out these premium courses!
