Building learning tools faster with AI at Learning Technologies
A Learning Technologies 2026 conference session will explore how accessible AI tools are changing who can build learning solutions and how quickly teams can deliver.
As expectations for speed and impact rise, learning teams are being pushed to rethink how tools are designed, built, and evolved. This session explores how accessible AI-powered development tools are lowering the barrier to experimentation and creation, allowing learning professionals to move from ideas to usable solutions without relying on long development cycles or specialist roles. It challenges assumptions about who can build learning tools and what productivity looks like in an AI-enabled learning function.
Building Smarter Learning Tools with AI: From Prototypes to Productivity - Zsolt Olah
Learning teams are under growing pressure to deliver solutions that are faster, more effective, and better aligned with real performance needs, but many still rely on static tools and slow development cycles to get there.
In this session, Zsolt Olah explores how affordable, accessible AI-powered development tools are changing what learning professionals can build for themselves. Drawing on practical experience, he examines how learning teams can use AI to prototype applications, extend existing tools, and bring ideas to life without becoming programmers or submitting IT requests.
Learning Technologies Conference Chair, Donald H Taylor, said: “Rather than focusing on hype or one-size-fits-all solutions, this session helps attendees understand how to choose the right AI tools for their goals, avoid common pitfalls, and build the skills needed to use them effectively.”
Key Topics Include:
- How AI is lowering the barrier to application development for learning teams
- Matching AI development tools to different use cases (prototyping, UI/UX, automation)
- Strengths, limitations, and trade-offs of popular AI-powered tools
- Skills and mindsets learning professionals need to work productively with AI tools
- Common mistakes that slow progress or undermine results
Building Smarter Learning Tools with AI: From Prototypes to Productivity takes place on day one, 29 April at 15:50.
The full programme is available on the event website: Learning Technologies 2026 Conference. Conference passes are on sale, with a £100 saving for bookings before 13 March: Learning Technologies 2026 Conference Conference Passes.
Save £100 when you book before 13 March
Your Conference Pass includes all conference tracks and theatres, networking lunch and drinks and full access to both days of the exhibition. There are two ticket types, including our premium option for those looking to get the most out of your experience at Learning Technologies.
Speakers include: David Kelly, Dani Johnson, Lori Niles-Hofmann, Laura Overton, Michelle Ockers, Egle Vinauskaite, Nigel Paine, Kelsey Kates, Serena Gonsalves-Fersch and Simon Gibson; just a few of the 70+ speakers on the programme.
More information
Learning professionals can keep informed of the conference’s developments and announcements by registering for the Learning Technologies Newsletter.
Learning Technologies 2026
29-30 April 2026, London Excel
#LT26UK
learningtechnologies.co.uk
Zsolt Olah
Sr. HR Data Measurement Analyst, Intel
Zsolt is Sr. HR Data Measurement Analyst at Intel focusing on actionable learning analytics to make less content and more impact. Previously, he worked as a Sr. Learning Technologist at Amazon. Zsolt has 20+ years of corporate L&D experience at the intersection of technology, digital learning, and data. He is responsible for the full life-cycle of learning data analytics from strategy to measurement of impact. He’s a frequent national and international speaker, published author, and featured writer at elearningindustry.com. Zsolt also serves as an advisory board member on the Emerge Workforce Development Edtech Leadership Board chaired by Donald Taylor. In his free time, Zsolt has written two screenplays and played mediocre soccer.