From the course: No-Code AI: Harness the Power of AI without Programming

What are the different job roles in building no-code AI?

From the course: No-Code AI: Harness the Power of AI without Programming

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What are the different job roles in building no-code AI?

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- [Instructor] Let us look at what are the job roles involved in using no-code AI to build customer solutions. By learning no-code AI, here are some potential future directions you can go to expand your career. Data business owner defines the business problem to be solved using no-code AI. Data engineers get the data ready for the AI by cleaning, wrangling, and validating its quality. So if you're data savvy and learn no-code AI tools, you can become a data engineer and get your company data ready for no-code AI. AI manager makes a build versus buy decision to go with a no-code AI tool for AI pilots. AI product manager builds products that are built upon the results from AI models. Quality assurance does the testing. Data and AI architects work on fitting no-code AI tools into the overall data architecture of the overall company. AI center of excellence. This is a team of various skills who work with business units to approve AI tool purchases in the company to set standards for AI tools and models. MLOps, IT teams that manage the tools that track versioning of AI models, irrespective of whether they were built with coding or no-code AI. Customer success manager works with customers to test out the output from the AI model to make sure it actually creates the business outcome for the customer. These roles will work with the data scientist in the company. Data scientist validates the output of no-code AI tools to make sure they're correct by checking with sample in-house AI model results and help scale the business for production. I hope you find one of these roles to work for you.

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