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HomeProduct ManagementTechnical Literacy: A Sensible Information for Product Managers | by Keren Koshman...

Technical Literacy: A Sensible Information for Product Managers | by Keren Koshman | Aug, 2023


Product excellence requires tech literacy. Right here is how one can stage up your expertise.

I have preached this greater than as soon as, technical literacy for product managers is important. Within the space of AI, it’s crucial for everybody, however product managers have to remain forward of the curve.

Right this moment I’ll write about gaining technical literacy (free programs solely). If you happen to dont have the self-discipline required for self-education (and many people dont), please pay on your schooling — it can preserve you accountable.

  1. I assume you’ve zero technical background and begin from scratch.
  2. Studying syntax is just not obligatory anymore, as AI is right here to assist in any coding train. However, you need to perceive what you might be asking for and be capable of learn code to examine the outcomes you get.
  3. You might be keen to take a position 3–4 hours weekly to stage up.
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You don’t must be a programmer, however it’s best to perceive coding. Attempt Python or JavaScript, that are pleasant for novices. Use assets like Codecademy, Coursera, or edX that will help you:

Additionally, find out about techniques design rules, together with how completely different system parts work together, knowledge circulation, system efficiency, and many others. study Knowledge Bases and be capable of question them by your self utilizing SQL:

Please discover there are instruments text-to-SQL that enable importing your diagram and getting the SQL queries; I recommend utilizing them whilst you study. If you happen to take just one recommendation kind this text it’s the SQL half — with the ability to question your knowledge is a superpower for Product Managers.

As a product supervisor, it’s best to have a robust understanding of the expertise stack that your product is constructed on. This might contain net applied sciences (like HTML, CSS, JavaScript), database techniques (SQL, NoSQL), cloud companies (AWS, Google Cloud, Azure), cell applied sciences (iOS, Android), and so forth. These days, in lots of cases, it additionally means mastering AI and large knowledge methodologies, and now that you just gained some Python and SQL expertise, it is time to dive deep into AI.

Whereas AI is an enormous matter, I recommend you begin with the traditional programs of Andrew ng (the godfather of AI):

And transfer up from there in keeping with your group’s wants and private style.

You probably have any questions, go away them within the feedback, and I’ll gladly show you how to together with your journey.

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