Choose by how deep you want to go, then compare courses with the provider.
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Choose by learning goal
Whether the course assumes any technical background
Maths and programming prerequisites and how concepts are practised
Which tools or services are used and whether they may change
Prerequisites, workload and whether assignments are graded
Learning resources and subject scope
Google’s Machine Learning Crash Course includes regression and classification models. (Google Mlcc — official reference)
Its data modules distinguish numerical and categorical data and discuss generalization and overfitting. (Google Mlcc — official reference)
Its advanced-model modules introduce neural networks, embeddings and large language models. (Google Mlcc — official reference)
The course also includes production-system and fairness topics, rather than only model fitting. (Google Mlcc — official reference)
Put the subject into practice
Build a small classification experiment with separate training and evaluation data. Record the target, one baseline, errors and a limitation. Use fictional or appropriate public data.
This is a practice suggestion, not a promised course outcome.
Make a learning route, not a shopping list
Use the documented subject scope below to choose one manageable skill. As a planning exercise, write what you already know, one thing you want to make or explain, and how you will check your work. Then compare a course outline with those needs.
The providers below illustrate different published learning formats. Their inclusion is not a ranking or a promise that every course on the platform covers this exact route.
Documented platform formats
Skillshop provides online product training designed by Google product experts, rather than a general-purpose course marketplace. (Google Skillshop — official documentation)
The listed training areas include Google Ads, Google Marketing Platform and Google Analytics. (Google Skillshop — official documentation)
Skillshop includes Google product certifications. A product-specific certification should not be presented as a degree or proof of every marketing skill. (Google Skillshop — official documentation)
Coursera lists individual courses, Specializations, Professional Certificates and online degree programs. These are distinct types of offering, rather than interchangeable credentials. (Coursera — official documentation)
The platform works with universities and companies; its public catalog includes offerings from Google, IBM and universities. The named issuer should be checked on the individual program. (Coursera — official documentation)
Coursera describes previews, trials and paid access as different routes. A preview or a trial should not be described as unrestricted free access to every course or its certificate. (Coursera — official documentation)
edX lists individual courses, certificates, executive education and online degrees. The qualification and assessment need to be read for the particular offering. (Edx — official documentation)
The catalog identifies the institution attached to a course or program, with university offerings in subjects such as computing, data science and business. (Edx — official documentation)
The edX site lists MicroMasters and MicroBachelors alongside bachelor’s and master’s degree categories. The name of a pathway alone should not be treated as a university degree or automatic credit. (Edx — official documentation)
Sources and access details
Official sources read 29 October 2026. Descriptions concern the named resource, edition, model or learning format. They are not independent product tests or guarantees of learning or employment outcomes. Check current access, price and terms with the provider.