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How to Learn AI: A Beginner's Guide to Artificial Intelligence at Intuit

Artificial Intelligence (AI) saw a massive explosion in modern culture as computers became smarter, sleeker, and with improved processing power. AI has come a long way and continues to weave its way into the fabric of the digital world. In business it is almost a necessity to work smarter, not harder. At Intuit, we take pride in leading AI-powered financial technology by bringing AI to the forefront of how we provide for our customers and employees.

Dive deeper:  Intuit’s agentic AI takes Done-For-You experiences seriously as a global financial technology platform.  How does AgenticAI frame how we push the envelope?  Learn more here.    

Intuit’s Tech Stack Empowers AI-powered solutions 

  • GenAI/GenOS:  GenAI is top of mind for Intuit’s technologists and working on solutions incorporating AI for customer products is at the center of our leadership in AI fintech.  Our technologists get to utilize our proprietary GenOS system to experiment with LLMs via best-in-class commercial LLMs like Anthropic Claude, Gemini, LLama from Meta AI, and Mistral. 
  • Dev tools & Infrastructure:  At Intuit, we empower our technologists to utilize open-source technologies.  Intuit’s own Modern SaaS AIR leverages cloud technologies like Kubernetes, Argo, and others to provide AI-driven capabilities so that our developers can lead innovations across our product stack like QuickBooks, Turbo Tax, Credit Karma, and Mailchimp.  
  • Languages & Libraries:  Our technologists join the company with knowledge spanning different programming languages and libraries such as Python, JavaScript, React, Kotlin, and more!  Based on a particular use case, choose the language/library that fits best.  With AI- powered code generation tools, they are able to deliver meaningful suggestions, tests, and summaries to troubleshoot issues.  

Each layer builds on the one before it. The better you understand how they connect, the easier it’ll be to focus your learning on the right skills.  Learn more here.  

The Impact of AI on Intuit workflows

Hands-on practice makes all the difference.  Intuit gets to use AI tools like ChatGPT, Gemini,  image generators, and AI-powered spreadsheets. Whether you’re in-office or working from home, our teams thrive on collaboration and learning.  Always ask questions to your peers and managers.  Sites like Kaggle, Hugging Face, and GitHub are packed with datasets and open-source projects where you can experiment and learn by doing.  

A great example of how we utilize AI across projects comes from Principal AI Scientist, Renee Dai. 

“Intuit is embedding AI across its product offerings to help customers get support faster, make smarter decisions, and achieve more with less effort. In the Learning & Development space that I support, we use AI to help prepare new experts for real-life customer challenges through simulated practice experiences. We’ve also recently launched post-call coaching powered by AI to help experts continuously improve and refine their skills. We’re especially proud that we leverage AI not only to drive efficiency, but also to deliver premium customer service—while maintaining a strong focus on trust, data responsibility, and ethical use of AI.”

The goal isn’t perfection—it’s momentum. Each project helps you connect theory to practice and makes your learning stick. Bonus: You’ll start building a portfolio that may help you become a prompt engineer or land another AI role. 

Resources like coding boot camps, online courses, and beginner-friendly books are perfect for helping you build these skills. And, if you get stuck, members of online communities are always willing to help. 

Final tips to stay consistent while learning AI

AI is an ever-growing technology.  While there is much to explore, learning the basics and applying them to your own work helps to bridge the gap between theoretical and practical.  Always remember that you are not alone.  There are self-help courses, teammates, managers, and programs that are built to assist in your learning.  If you are an engineer, apply your coding skills to AI to help push the boundaries of what you can do. 

Finally, if you’re serious about turning your AI skills into something bigger, take the next step and explore jobs in AI, including open roles at Intuit.