Embrace AI in tax to streamline work and stay ahead. Upskill with the Tax AI Academy for hands-on learning and actionable insights. Join now!
In today’s increasingly complex tax landscape, AI offers a transformative opportunity to streamline substantial portions of tax work. The integration of AI, including generative AI (GenAI), into your workflow is no longer a distant future – it's happening now. How can you stay ahead of this change? Upskilling is the crucial first step.
Are you a tax professional seeking to understand how AI can enhance your day-to-day tasks and impact your profession? You're in the right place.
The Tax AI Academy is dedicated to equipping tax professionals with the knowledge and skills to harness AI effectively. Our programme covers AI’s opportunities, risks and practical applications, providing you with hands-on learning and actionable insights.
Don't let the AI wave pass you by. Join us and start your education journey today!
This Academy is far from a typical AI training programme. It's an initiative designed specifically for you, and more importantly, with you. The entire learning journey is carefully crafted to be a blend of interactive sessions, where you will have the opportunity to brainstorm, form ideas and co-create in small teams.
You can find the prices and dates below. If you have all the information you need, simply register for one of the academies on your preferred date.
If you have some questions or want to reach out to us before registering for the Academy, please reach out to us via the "Contact us" button.
* Payment terms: Costs are payable after the Academy within 30 days of the invoice date. Registration is binding. Registration information: Registrations will be processed in the order in which they are received. There is a maximum of 12 places per Academy. The Academy is organised for a minimum of 5 participants. If this number of participants is not reached, the Academy will be cancelled. No costs will be charged to the participants. Participants are free to register for an Academy on a different date.
Fatih Sahin