What should I take after "AI for Everyone"?

Hello,

I just finished “AI for everyone” course on Coursera . I have almost 2 months off where I can learn more about AI. I also know basics of Python so I wish to start learning how to really build simple AI model. I’m aiming for something practical that fits into my schedule and gives me real coding experience.
What do you advise me?

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I recommend the Machine Learning Specialization (offered via Coursera).

It’s a “beginner” course for those who have some programming skills, but it’s a step up from the “for everyone” courses.

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ok , thank you

Hey! This is good to know, do you think it is a good course if you have 0 programming knowledge?

You should take in a Python tutorial before you enroll in the Machine Learning Specialization.

There are lots of them online for free, and on a popular video-sharing site.

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As they wrote, required experience in programming is for loop, function and if/else statement.

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I have taken “AI Python for Beginners” which teaches basics of Python including loops, if-else, working with libraries, etc. It is a great course as a next step before “Machine Learning Specialization”

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@TMosh
Hello,
I have another question please

If I subscribe to Coursera Plus, can I get full access to graded content and the certificate for the first course in the Machine Learning Specialization (“Supervised Machine Learning: Regression and Classification”)? I know auditing is available—but does Plus cover assignments, quizzes, and certification?

Thank you!

No, you cannot.

No courses from DeepLearning.AI are included in Coursera Plus.

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I am currently completing this certificate i have just subbed for a month and all is available, grade, test, etc. I also will get certification on completion