Which Course do you recommend after AI For Everyone?

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Hello Everyone,
I just finished the AI for Everyone course and I was looking for advice on which AI Course to take next. I have experience in Data Analytics but I am not a coder. I have a background in Environmental Science and Biology. Which courses would you recommend next to learn more about basic AI and incorporating it into my career?

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If you want to delve into the mechanics of AI, you need to learn some Python and have some understanding of the math behind it.

Perhaps you have some Math knowledge, I would start with a Python course, which you can do even online these days.

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Hi,

I would recommend the following.

  1. Generative AI for everyone (Generative AI for Everyone - DeepLearning.AI).
  2. ChatGPT Prompt Engineering (ChatGPT Prompt Engineering for Developers - DeepLearning.AI)
  3. Data Analytics Professional Certificate (Data Analytics Professional Certificate - DeepLearning.AI)
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hi,

The Machine Learning Specialization is commonly recommended after ‘AI for Everyone’. But as @gent.spah mentioned, you do need solid basics in Python (loops, functions, if/else, and ideally some NumPy) for the coding labs, and a good grasp of high‑school math , especially algebra and some calculus for the lecture content.

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After completing AI For Everyone, the best logical step is to dive deeper with the Google AI & ML Specialization on Coursera or the Logicmojo AI Courses. Both courses smoothly transition you from understanding foundational concepts to building real, practical AI projects. Google’s course offers structured modules with practical assignments using TensorFlow, while Logicmojo program provides broader coverage and hands-on projects across multiple AI domains. Choose Google if you prefer focused ML projects and a globally recognized certificate, or Logicmojo if you are looking for project based learning

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DL.AI Machine Learning Specialization.

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Thank you for the advice. Learning python is on my list. Is there a particular python class that you can recommend for a beginner. I saw this one from Stanford that I was hoping to do self paced. It’s call Stanford’s Code in Place. Do you recommend the google python course?

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I do not have a specific recommendation.

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AI for Everyone is good for basic foundation, especially theory. But ultimately you should work on projects from scratch. For that, consider some project oriented practical options, one such course I joined was Logicmojo AI ML Course. Your practical understanding and working in Google Colab, as well as your projects, will be build in GitHub

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If you finished AI for everyone, the best next step is to learn some practical skills. You can start with:

  • Python basics

  • Machine learning foundations

  • Data analysis

For Python + ML, you can take beginner-friendly courses from Coursera, Google, or IBM. If you want very simple explanations to understand AI concepts more clearly, SkillWint also shares easy breakdowns that help beginners understand topics without heavy math.

Learn Python → learn basic ML → do small projects → use simple websites like SkillWint to understand concepts better.

This will prepare you well for more advanced AI courses.

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Hey,

  • After finishing AI for everyone, Element of AI is the good step to learn because it explains how AI works in an easy and simple way.
  • Then you can take IBM AI Foundation for everyone. It will help you to understand basics AI and ML in clear and beginner friendly way.
  • You can also try the AI masterclass for non technical professional, it will teach you how to use AI tools without any code.

These courses perfectly fit your background, and will help you to learn how to use AI in your work.