18 Advanced AI Courses for Tech Professionals

As artificial intelligence (AI) continues to revolutionize the tech industry, mastering these powerful tools is essential for today's tech professionals. To help you stay ahead, we've curated a list of cutting-edge AI courses specifically designed for those already working in tech. Most of these courses require coding skills and a solid understanding of technical concepts, so they're also ideal for recent bootcamp graduates seeking to stand out in a competitive job market.

🧑🏽‍💻 Are you a beginner to tech (or a business professional, content creator, artist, or salesperson)? Check out our roundup of intro artificial intelligence courses, which do not require coding experience! 

18 Advanced AI Courses for Technologists

AI Courses for Software Developers

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

• Amazon's Machine Learning University (MLU) is a free course for software engineers to learn about AI and machine learning theory.
• 4Geeks Academy offers a 6-week Applied AI Course that covers ChatGPT, Claude, and Llama3, along with image generation tools such as Stable Diffusion, DALL-E, and Midjourney.
• Ironhack offers the AI School with short, online courses focused on Microsoft Copilot, how to use AI for data analysis, and more.
• Python for Data Science, AI & Development from IBM through Coursera is a beginner-friendly, self-paced course to tackle one of the most popular languages in programming. 

AI Courses for Data Scientists

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

• Learn how to become an expert in machine learning from Andrew Ng in Deep Learning Specialization from deeplearning.ai through Coursera. 
• Datacamp has many short, online AI skills courses for data scientists, such as Generative AI Concepts, Implementing AI Solutions in Business, and Large Language Models (LLMs) Concepts. Datacamp also offers the easy-to-use, AI data analysis tool, Datalab, which can be used to derive insights from data. 

AI Courses for Data Analysts

• General Assembly offers a two-day AI for Data Analysis and Visualizations workshop that teaches data analysts how to automate data analysis and build visualizations.
• Data analysts can take a deep dive into R and machine learning with the Predictive Analytics course at ActuaRise. 

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 offers an AI for Visual Design course specifically for UX designers looking to upskill.

AI Courses for Cybersecurity Professionals

Cybersecurity professionals may now use AI in next generation firewalls, antivirus software, and security information and event management systems. 

• The Generative AI for Cybersecurity Professionals Specialization from IBM through Coursera covers AI tools: IBM Watsonx, Prompt Lab, Spellbook, and Dust.  
• It's best to have an understanding of Python to enroll in Udemy's Complete Artificial Intelligence for Cyber Security course. In addition to multiple AI tools, this course covers advanced topics, such as linear regression, natural language processing, and machine learning algorithms.   

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 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. 

• Learn the basics of AI in software testing in less than 30 minutes from Udemy!
• Become a Certified Tester in AI from Artificial Intelligence United (AiU). 

Are you using AI tools on the job? Let us know your go-to AI tools for technologists in the comments!