30 Intro Artificial Intelligence Courses

Nat Davis

Written By Nat Davis

Jess Feldman

Edited By Jess Feldman

Last updated on July 18, 2024

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Artificial intelligence (AI) has evolved over the past 70 years to learn human-like cognition and ease the workload by performing functions faster than humans in computation, perception, reasoning, learning, problem-solving, and even creativity! In 2024, AI is unavoidable in the modern workforce as tools like ChatGPT, Google Bard, and Microsoft Bing are incorporated into workflows across major industries from healthcare to transportation, manufacturing, retail, finance, insurance, and food tech. Choosing the right AI course to level up can feel daunting, so here’s a list of AI courses to support anyone interested in learning Artificial IntelIigence tools. 

30 AI Courses for Professionals

While there’s no doubting the immense potential for AI capabilities, there will always need to be skilled humans to help ensure its accuracy and direction. Getting familiar with machine learning, data science, and data analysis will help guide your direction to learn AI — especially if your goal is to have a career in AI! While AI technology will continue to evolve, in 2023 learning AI includes learning Python, Java, and C++; data visualization and machine learning models; and mathematics like linear algebra, data interpretation, and deep learning. 

AI is not just for engineers and scientists! AI training will come in handy for creative roles like content marketers, artists, UX designers, and more! If you’re not sure where to start, AI for Everyone from through Coursera is a perfect first step to learning AI. 

AI Courses For Content Marketers

Work for content marketers got a lot easier when generative AI learned to write copy and personalize marketing and sales content equipped with images, videos, and text. 

  • A one-stop-shop for marketing, development, and design, Brainstation features Certificate Courses in Digital Marketing, Design Thinking, and Social Media Marketing, as well as an artificial intelligence course.  
  • University of Virginia through Coursera offers an Artificial Intelligence in Marketing course that focuses on algorithms, data, and networking for content marketers.
  • The online Marketing AI certificate course at eCornell provides practical ways to apply machine learning and AI to marketing.
  • Chegg Skills' two-month, self-paced Applying AI Certificate Program is perfect for marketers with no technical background. 
  • NYC Data Science Academy offers a six-hour, online workshop, Generative AI for Marketing that helps marketers understand how to use AI in various aspects of their role. 

AI Courses For Software Developers

Software developers use generative AI to write, document, and review code. 

AI Courses For Data Scientists & Data Analysts

Data scientists support the development of AI to learn patterns and correlate data, which they then generate insight from.

AI Courses For QA Testers

AI supports quality assurance (QA) testers by using image-based testing, determining to run a test script, using AI spidering, monitoring API testing, and automating tasks. 

AI Courses For UX Designers

UX designers can lean on AI when analyzing user data, creating user personas, product writing, automating design workflows, adding UI elements including branding, user testing and prototyping, and helping designers move through stagnancy.  

  • UX designers learning AI would benefit from ChatGPT courses, like the ChatGPT Complete Guide from Udemy, which covers everything you need to start using: ChatGPT, Midjourney, DALL-E 2, Generative AI, and AI tools like voice, photo, video, music, and writing copy. 
  • If you’re needing a launch point, check out Interaction Design Foundation’s master class with Greg Nudelman (Principal and Director of UX, DesignCaffeine), “How to Design Experiences for AI.” 
  • Designlab is launching an AI for Visual Design course for UX designers in Spring 2024!

AI Courses For Artists

Artists are using AI to open their creative potential by generating color palettes, producing digital sculptures, expanding graphic design possibilities, producing interior designs and architecture, and creating realistic animations.

AI Courses For Product Developers

Product development is seeing a rise in AI technology as it is being used in concept development, design, prototyping, testing, and final production, as well as aiding market research and analysis and optimizing the design experience.

  • AI Product Management Specialization from Duke University through Coursera covers: machine learning, how to apply data science to machine learning, and how to develop human-centered AI products that prioritize privacy and ethics through Human Factors in AI.
  • Become an AI Product Manager in two months with Udacity’s Nanodegree program! 
  • Product School's Artificial Intelligence Micro-Certification gives an overview of AI as it relates to product management, including best practices of AI integration, how to create user-centric AI flows, and ensuring AI model outputs meet user needs. 

AI Courses For Tech Sales

AI is undoubtedly easing sales as virtual assistants catered to the industry are able to alleviate tasks for human users by simplifying and optimizing the sales process.  

  • AI Business & the Future of Work from Lund University through Coursera covers an intro to AI in work and business, what AI can do, risks with AI, and AI and the future of work. 

AI Courses For Medical Professionals

AI is assisting the medical industry by learning diseases and chemical structures to accelerate the development of drugs. Similarly, AI is making medical processes like imaging faster and more precise. 

  • AI for Medicine Specialization from Coursera ( covers AI for Medical Diagnosis, Prognosis, and Treatment. 
  • Learn how to apply AI technology to: 2D Medical Imaging Data, 3D Medical Imaging Data, EHR Data, and Wearable Device Data with AI for Healthcare from Udacity.

7 AI Leaders to Watch

AI is rapidly changing — while the workforce figures out how to integrate AI tools into their processes, leaders in AI provide insights on what to learn, where to learn, and what to anticipate in this exciting future. We recommend following a few leaders in the space – here are 7 of our favorites!

Andrew Ng Founder and CEO of Landing AI, Founder of, and Professor of Computer Science at Stanford University. Andrew also hosts AI courses on Coursera for data scientists and programmers.

Fei-Fei Li

Sequoia Professor of Computer Science at Stanford University, Fei-Fei co-founded a non-profit aimed at diversity and inclusion in AI education, research, development, and policy. She’s an expert in machine learning, deep learning, computer vision, and cognitive neuroscience
Andrej Karpathy Senior Director of Artificial Intelligence at Tesla and a student of Dr. Fei-Fei Li! Andrej is known for training deep neural nets on large databases.
Kate Crawford Senior Principal Researcher at Microsoft Research; co-founder and Director of Research at the AI Now Institute at NYU; and Visiting Professor at MIT. Kate has published many books and journals on AI’s impact on society. 
Demis Hassabis Co-founder and CEO of DeepMind, an AI company inspired by neuroscience. Demis started in the gaming industry with chess and video games, and is now one of the top AI leaders after his work in memory and amnesia.

Ian Goodfellow

Director of Machine Learning at Apple and formerly a research scientist at Google Brain. Ian is a former student of Andrew Ng at Stanford.

Allie K. Miller

Global Head of Machine Learning BD, Startups & Venture Capital at AWS. Allie is an advocate of education and diversity in AI, and the youngest-ever woman to build an AI product at IBM!

 Already using AI on the job? Let us know your go-to AI tools in the comments!

About The Author

Nat Davis

Nat Davis

Nat Davis connects to writing to communicate stories, thoughts, ideas, and resources. When not jotting, Nat is a health coach, hiker, youth advocate, foodie, comedian, improviser, and karaoke singer.

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