If you’re looking for a job that pays six figures, is always at the forefront of technological advancement and innovation, and enables positive change rapidly, you might want to seriously consider a job that utilizes machine learning as a skill.
Machine learning (ML) is a high-income skill that is integral to many professions, with machine learning engineers and analysts can make as much as up to $129,000 on average, according to latest figures available at Salary.com.
Whether you’re pursuing a role as a data scientist, BI (business intelligence) analyst, software developer, or even a product manager, you will often find machine learning skills appear in job requirements and descriptions, making this worthwhile to upskill in.
Thanks to the increasing popularity of online courses and career certificates, you now have more options than ever to upskill or refresh your existing machine learning skills, with these options ranging from free to extremely affordable.
Check out these X machine learning courses, which are perfect for newbies and advanced professionals:
1. Google’s Machine Learning Crash Course
Google offers a free machine learning crash course which features a range of interactive visualisations and video explainers. The course is hosted on Google for Developers, an excellent resource for continued career development within the tech space, and covers topics such as linear regression, classification, data sets, neural networks, and deploying ML in the real world—especially considering ai implementation.
2. IBM’s Machine Learning Professional Certificate
IBM’s machine learning course released via Coursera, is great for beginners and teaches current practical skills required in the workforce. One of the advantages of this course is that it is a recognized professional certificate, which you can share on LinkedIn and display on your resume to employers. The course is available for free if you require financial aid.
3. AWS Building A Machine Learning Ready Organization
AWS (Amazon Web Services) provided this course for business leaders and decision-makers to be aware of machine learning in today’s world and how it can benefit and affect their organization. According to the course page, this training teaches leaders how to prepare their companies for machine learning projects, adopt strategies for organisational success, and create a culture of learning and collaboration, as well as understanding the components of a perfect ML team.
4. Stanford’s Machine Learning Specialization
Another favorite amongst professionals ambitious to further their career development is the Machine Learning Specialization taught by Andrew Ng, from Stanford University. The course is hosted via Coursera and and is a program that teaches you how to build AI applications, through a combination of three courses that guide you along the machine learning skill pathway.
This also comes for free if you require financial aid, and gives you a career certificate upon completion.
5. Great Learning’s Python For Machine Learning
Finally, Great Learning, a professional development platform that hosts online courses and certifications (including for postgraduate level) has a range of free courses covering machine learning essentials, from data preparation to deploring an ML model using Flask, including this one titled “Python for Machine Learning.”
All five of these courses come at little to no cost to you. What you need to do now is to decide, where will you take your career? How serious are you about developing new skills and enhancing your salary prospects? Begin your learning journey today.