The field of data science is experiencing rapid growth, with employment projected to increase by 36 % through 2033. Driven by a mix of factors, about 20,800 job openings are expected annually for working professionals in the US aiming to upskill. Focusing on machine learning courses can be pivotal. These courses offer practical knowledge in predictive analytics and artificial intelligence to equip learners with the expertise needed to thrive in a data-driven world.
In this article, we explore the top online machine learning courses for the US workforce that they can invest in to enhance their career prospects.
Also Read: AI vs Machine Learning: What’s the Difference?
Top 3 Online Machine Learning Courses Tailored to the US Workforce
With the rising demand for machine learning professionals in the U.S., online courses are becoming a flexible and effective way to upskill. Here are three highly-acclaimed machine learning courses designed to meet the needs of the American job market:
Master of Science in Machine Learning & Artificial Intelligence
An online master’s of science in ML and AI from Liverpool John Moores University is the best course to kick-start your machine learning journey. The program equips learners with in-demand skills in Generative AI, Deep Learning, NLP, and Reinforcement Learning. You can also get hands-on experience with 15+ real-world projects, popular programming tools, and a dissertation to boost your machine learning career to the next level.
Course Type | Master’s Degree |
| Start Date | May 15, 2025 |
| Duration | 18 months |
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Also Read: Career Opportunities in Machine Learning
Executive Diploma in Machine Learning and AI
Learn in-demand skills like Deep Learning, NLP, Machine Learning Operations (MLOps), and AI Strategy Building with this executive diploma in ML and AI. You also get to work on 15+ real-world projects using top programming tools. Especially crafted for working professionals, the program blends flexibility with industry relevance. This course is widely-regarded to boost your career under the mentorship of global AI experts.
Course Type | Diploma |
| Start Date | May 15, 2025 |
| Duration | 12 months |
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Post Graduate Certificate in Generative AI (E-Learning)
PG Certificate in Gen AI is a six-month project-based learning program that equips you with relevant skills to deploy your own Generative AI applications. The program helps you gain expert knowledge from industry stalwarts to build a strong portfolio and master tools used by top AI professionals. It is an ideal course for those looking to break into or grow within the AI space.
Course Type | Certificate |
| Start Date | June 30, 2025 |
| Duration | 6 months |
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Also Read: Explainable AI: Making Machine Learning Models Transparent
Fast-Track or Deep Dive? Choosing the Right Format for Your Schedule
Not all machine learning courses are created equal. Some certifications and programs are intensive and fast-paced, while others offer in-depth learning over time. Working professionals may follow either of the two main learning approaches—fast-track or deep dive—to boost their machine learning knowledge. Both approaches have their own pros and cons. Analyzing them in detail can allow professionals to find the perfect fit to suit their requirements, time, and learning approach.
Fast-tracking can be an option if you are looking for an accelerated and intensive route. On the other hand, you may dive deep into the concepts for a comprehensive and in-depth approach.
Professionals can choose boot camps and certifications to fast-track their career, or self-paced courses with flexible duration for in-depth know-how. The duration of boot camps and certifications can vary from 8 – 12 weeks to up to 6 months, whereas the self-paced programs can allow professionals to complete the course at their own pace with flexibility and may extend to 1 to 2 years.
Also read: AWS Machine Learning Certification: Your Pathway to Success in AI
Why Machine Learning Courses Matter for Working Professionals
Machine learning skills are in high demand across the technology, finance, healthcare, and retail industries. Upskilling in ML opens doors to roles like data scientist, ML engineer, and AI product manager for working professionals. It also boosts career growth, salary potential, and job security in an increasingly AI-driven world.
An ML Engineer in the USA earns an annual salary of $165,729, which may increase to $266,428 with experience. It reflects the growing demand for skilled professionals to build and deploy intelligent systems. With the right training and hands-on experience, you can transition into high-paying, future-ready roles in machine learning.
Also Read: How to Conduct Target Market Analysis
How can upGrad help you?
Working professionals in the US can boost their careers with online Machine Learning courses through upGrad to gain industry-relevant skills, enhance their employability, and improve their designations and wages. These online courses equip students with advanced skills and expertise to help them with career progression.
Visit the upGrad portal to explore and pursue long and short-term online courses for AI and ML professionals!
Some popular Machine Learning AI programs available on upGrad:
- Post Graduate Certificate in Generative AI (E-Learning)
- Master of Science in Machine Learning & AI
- Executive Certificate in Generative AI for Leaders (E-Learning)
- Executive Diploma in Machine Learning and AI with IIIT-B
For more information, email globaladmissions@upgrad.com or call +1 (240) 719- 6120.
FAQs on Online Machine Learning Courses for Working Professionals
Q: What is the best online machine learning course for working professionals in the US?
Ans: The best online course on machine learning depends on your career goals, skill level, and time availability. You can explore various short and long-term courses on ML offered by upGrad.
Q: How long does it take to complete an online machine learning course while working full-time?
Ans: Most working professionals can complete foundational ML courses in 3 to 6 months with 5–10 hours of weekly effort. For advanced or certification programs, it may take up to 9–12 months.
Q: Do I need a technical background to enroll in a machine learning course?
Ans: Having a technical background to enroll in machine learning courses is not always necessary. Many beginner-friendly courses start with the basics of Python and statistics. However, having some background in programming or math can help speed up your learning.
Q: Are these online courses recognized by employers in the US?
Ans: Yes, especially if the course is from a reputable and accredited university or platform, and taught by industry leaders.
Q: What’s the difference between a machine learning certificate and a degree program?
Ans: Certificate programs are shorter and skill-focused, ideal for working professionals. Degree programs are more extensive and often involve research or capstone projects, suitable for candidates willing to switch careers or seeking academic credentials.
Q: Can I land a machine learning job after completing an online course?
Ans: Yes, if the course includes practical projects, real-world applications, and job support. Building a portfolio, networking, and continued upskilling further increase job prospects.
