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.
Author Name: Matthew Renze
Author Description:
Matthew Renze is an AI researcher, consultant, and author. As the founder of Renze Consulting, he has trained over 500,000 software developers and IT professionals. As the president of the Renze AI Research Institute, he researches cognitive architectures for agentic AI systems. Matthew has a Master’s degree in Artificial Intelligence from Johns Hopkins University. He is a Microsoft MVP in AI, a Microsoft Regional Director, and an author for Pluralsight. You can learn more at https://matthewrenz… more

Table of Contents

• Course Overview
  1min
• Introduction
  10mins
• AI for Tables
  17mins
• AI for Text
  12mins
• AI for Audio
  10mins
• AI for Images
  12mins
• AI for Video
  11mins
• AI for Applications
  11mins
• AI for Systems
  12mins
• Conclusion
  2mins