AI
£149 GBP each
London (Online)
Wednesday, 18 March, 2026
11
am
–
2
pm
EDT
AI for Workplace Efficiency | 3 Hour Workshop
About This Workshop
In today’s fast-moving workplace, AI isn’t just an upgrade—it’s your shortcut to getting more done with less effort. From automating routine tasks to enhancing the way you write, summarize, and problem-solve, generative AI is reshaping how work gets done across industries.
This hands-on, three-hour workshop is built for professionals looking to boost productivity through smart automation. You’ll learn how to identify tasks that AI can handle versus those that still need your human brainpower, improve the clarity and impact of your business writing, and use AI to quickly summarize long reports or meeting notes. We’ll also cover how to generate new ideas, solve problems more efficiently, and spot the limits of AI before they slow you down. No tech background needed—just a willingness to experiment and rethink what your workday can look like.
Takeaways
Basic understanding of AI: Clearly understand how generative AI can automate and augment tasks across different industries.
Enhance business writing with AI: Apply generative AI techniques effectively to enhance business writing, improve content clarity, and optimize everyday productivity.
Optimize tasks with AI: Efficiently utilize AI-generated summaries, communications, and innovation techniques to elevate workplace efficiency and innovation.
About the Instructor
Hank Butler
Lead Data Scientist and Data Engineer, General Assembly
Hank Butler is a Lead Instructor for GA’s Data Science Immersive Program. Before GA, Hank has worked in various industries including politics, quantitative finance, supply chain, and for a logistics start-up. Hank is passionate about using data to solve problems in various industries and enjoys showing others how to apply data science in their fields. Some of his favorite Python libraries and tools include Pandas, NumPy, Scikit-Learn, StatsModels, and PyTorch. Some of his favorite tools for Data Visualization include: Matplotlib, Seaborn, Folium, and GGplot2 Outside of teaching and data science, he loves watching sports, movies, reading, hiking, and going to the beach.
IN CONVERSATION WITH Hank:
What is your favorite technical skill to work with on your own projects and why?
Claude Code, the capabilities are really impressive.
What is your favorite technical skill to teach to students and why?
Python, it's a very readable programming language and you can see their confidence increase quickly and it helps reduce the intimidation factor of other technical/programming skills.
What is most important to you about teaching technical skills at General Assembly?
Technology is moving fast and helping people achieve their goals is very rewarding.
What advice do you have for anyone looking to learn technical skills to reach new career goals?
You're fundamentally trying to solve problems. Think about how a new skill will help you solve problems rather than focusing on learning the skill.
What would you like to highlight about your experience in your technical domain outside of teaching?
I'm finding new ways to use Claude Code and OpenAI Codex every day.
WHAT HANK'S STUDENTS ARE SAYING...
"Hank clearly shows a great mastery of everything we've come in contact with thus far (and if he isn't positive about something, he isn't afraid to table it for later, which is a great trait in an instructor). He also makes our lessons fun, which (again) is very much welcomed considering the difficulty of some of the concepts we've encountered and the pace that we go. Also, maybe most importantly, Hank has shown that he does his absolute best to not leave anyone behind during the lessons. If anyone has a question or is confused, he is more than willing to stop and make sure everyone is comfortable."
In recognition of his exemplary service in the classroom, Hank has been selected as a member of General Assembly’s Distinguished Faculty program.
Refund Policy
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
Community Code of Conduct
Your registration for or attendance at any General Assembly offering indicates your agreement to abide by this Community Code of Conduct policy and its terms.
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