In today's technical landscape, adding AI to your applications requires just a few lines of code, or in many cases, no code at all. Unfortunately, most software developers and IT professionals have not yet learned how to leverage these new AI tools and techniques. In this course, The AI Developer’s Toolkit, you’ll learn about all of the modern data-driven AI tools now available to software developers and IT professionals.
First, you’ll learn about AI tools for analyzing and synthesizing tables of data, text, audio, images, and video. Next, you’ll explore how this will help you to generate ideas for how to incorporate AI into your own products and services. Finally, you'll discover several short demos of easy-to-use AI tools from Microsoft, Google, and Amazon.
By the end of this course, you’ll understand the overall landscape of AI tools that you can add into your own products and services.
Matthew is a data science consultant, author, and international public speaker. He has over 17 years of professional experience working with tech startups to Fortune 500 companies. He is a Microsoft MVP, ASPInsider, and open-source software contributor.
Course Overview [Autogenerated] Hi, I'm Matthew Renzi with Pluralsight and welcome to the AI Developers Toolkit just a few years ago, adding a I to your products or services required a team of data scientist volumes of data and a bunch of computers. Today, However, adding a I to your application requires just a few lines of code or, in many cases, no code at all. Unfortunately, most software developers and I T professionals have not yet learned how to leverage these new AI tools and techniques. In this course, you learn about all of the tools available in the modern AI developers toolkit. You'll learn over 50 of the most popular AI tools for working with text, images, audio, video and more. This will help you to generate ideas for how to incorporate a I into your own products and services. We'll also see several short demos of easy to use AI tools from Microsoft, Google and Amazon, however, were intentionally going to skip all of the complex code math and vendor specifics. We want to keep everything as simple as possible for both developers and non developers alike. By the end of this course, you'll understand how to add a I into your own products and services as an introductory course. There are no prerequisites for this course. We're going to keep things extremely simple and easy to understand. However, if you'd like to fall along with the optional code demos experience with at least one C like programming language is recommended but not required. So please join us today at Pluralsight and learn how to add a I into your applications with the AI developers toolkit mhm.