The Machine Learning Engineer path on ExpertEdge: 18 courses and about 241 hours
ExpertEdge maps the Machine Learning Engineer role to 6 skills, 18 courses and about 241 hours, and Supervised & Unsupervised Learning alone is 62 of them.
- The path: 6 skills, 18 courses and about 241 estimated hours, at the Associate level, read inside the product on October 26, 2026.
- The biggest skill: Supervised & Unsupervised Learning is 62 hours, 26% of the path.
- The price: the path sits inside ExpertEdge's $120 yearly plan, which is $0.50 for each estimated hour, or $0.25 with the EduBracket code if it applies as ExpertEdge described.
- What we have not done: taken the courses. This page covers structure, hours and price, and says nothing about quality.
EDUBRACKET50 at checkout. Packt, which makes ExpertEdge, gave us a trial account and we earn $30 for each yearly sign-up through the code, which does not change your price.Lattice finding
ExpertEdge's Machine Learning Engineer path is 18 courses and about 241 hours, so its $120 yearly plan works out to $0.50 an hour, and Supervised & Unsupervised Learning takes 26% of the time.
Read October 26, 2026 Skills, course counts and hours are as ExpertEdge's app shows them; the totals and costs are our arithmetic.
What is in the Machine Learning Engineer path?
ExpertEdge describes each role as a fixed set of named skills, each earned through courses. These are the numbers for Machine Learning Engineer.
Named skills ExpertEdge lists for the Machine Learning Engineer role, at the Associate level.
Two or three courses per skill, as the app shows them.
ExpertEdge's own estimate, added up across the skills.
The $120 yearly plan divided by the estimated hours. Our arithmetic.
Where do the 241 hours go?
Supervised & Unsupervised Learning is the largest skill at 62 hours. The smallest is Statistical Analysis & Predictive Modeling at 11 hours.
| Skill | Courses | Est. hours | Share of path |
|---|---|---|---|
| Supervised & Unsupervised Learning | 3 | 62 h | 26% |
| Natural Language Processing | 3 | 55 h | 23% |
| Computer Vision | 3 | 52 h | 22% |
| Deep Learning Architectures & Frameworks | 3 | 40 h | 17% |
| MLOps & Model Deployment | 3 | 21 h | 9% |
| Statistical Analysis & Predictive Modeling | 3 | 11 h | 5% |
3 of the 6 skills also appear in other ExpertEdge technical roles: MLOps & Model Deployment (also in AI Engineer); Statistical Analysis & Predictive Modeling (also in Data Scientist); Supervised & Unsupervised Learning (also in AI Engineer, Data Scientist). A learner who finishes one of them has that skill banked toward the others.
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What does the Machine Learning Engineer path cost?
The path is part of ExpertEdge's yearly plan at $120 a learner. For scale, 18 courses bought at the $19.99 median we read for Udemy courses would cost $359.82, about 3.0 times the yearly plan. ExpertEdge's courses are not Udemy's, so treat that as a yardstick, not a like-for-like price.
See the plan in detail in our ExpertEdge pricing guide, and how that Udemy median was measured in our Udemy price check.
Who is the Machine Learning Engineer path for?
ExpertEdge labels this role Associate level and says the skills are earned through expert-led courses. It suits a learner who wants one structured route and will work through about 241 hours over the year. If you only need one of the skills, buying that single course elsewhere will cost less. Compare it with the other nine technical roles in our ExpertEdge role paths guide. Packt, which makes ExpertEdge, gave us a trial account to read the product, and we have not yet taken the courses.
Frequently asked
What skills does the Machine Learning Engineer path on ExpertEdge cover?
ExpertEdge lists 6 skills for the Machine Learning Engineer role: Computer Vision; Deep Learning Architectures & Frameworks; MLOps & Model Deployment; Natural Language Processing; Statistical Analysis & Predictive Modeling; Supervised & Unsupervised Learning. Each skill has three courses.
How long does the Machine Learning Engineer path take?
ExpertEdge estimates 241 hours across 18 courses. The estimate is ExpertEdge's own, shown next to each skill in the app, and the largest skill is Supervised & Unsupervised Learning at 62 hours, 26% of the total.
How much does the Machine Learning Engineer path cost on ExpertEdge?
The path is part of ExpertEdge's yearly plan, $120 a learner, which is $0.50 for each estimated hour. ExpertEdge confirmed the code EDUBRACKET50 takes 50% off the first year, $60, with renewals at the standard price.
Is it cheaper than buying the courses one at a time?
For scale only: 18 courses at the $19.99 median we read for Udemy courses would be $359.82. ExpertEdge's courses are not Udemy's, so this is a rough yardstick and not a like-for-like price.
How this page was built
We read the Machine Learning Engineer role page inside app.expertedge.org on 26 October 2026, signed in to a trial account Packt provided, and recorded each skill's course count and the estimated hours ExpertEdge shows. Totals, shares and hourly costs are our arithmetic. The $19.99 figure is the median price of 158 Udemy courses we read the same day and is a yardstick, not a like-for-like price. ExpertEdge told us by email about the code EDUBRACKET50 and the $30 yearly sign-up payment, and confirmed on 27 October 2026 that it takes 50% off the first year; we have not run the checkout ourselves. We have not taken the courses, so this page says nothing about their quality.
Bottom line
ExpertEdge's Machine Learning Engineer path is 18 courses and about 241 hours inside a $120 yearly plan. Look at the Supervised & Unsupervised Learning skill first, since it is 26% of the time, and confirm the price on the checkout screen. See the path on ExpertEdge.
Federal data behind this page
What a programme costs, what its graduates earn, and what aid is available are published by federal statistical agencies rather than by any provider's marketing page, and the sources below are the primary ones. They are linked so a reader can check a figure here directly.
- College Scorecard publishes the federal cost, completion and post-enrolment earnings data used to compare programmes.
- National Center for Education Statistics is the federal statistical agency for education and the source most published figures trace back to.
- IPEDS holds the institution-level survey data behind enrolment, price and completion comparisons.
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- Department of Education laws and policy carries the rules that decide whether a provider or credential is recognised.
This page compares programmes on published data. Outcomes vary by student, and a reader's own aid package and circumstances decide what a programme actually costs them.