Deep Learning Program (DLP)
TopGolf
Improving partnered with Topgolf to deliver a 12-week Deep Learning Program (DLP) aimed at transforming their engineering teams from ad hoc AI users to disciplined practitioners of AI-assisted delivery. The program combined structured classroom sessions with embedded mentorship, ensuring practical application of AI concepts in day-to-day work. By embedding an Improving engineer within Topgolf’s teams, the engagement provided hands-on guidance and tailored support. The initiative focused on building durable AI skills, fostering consistency, and accelerating software delivery processes. This strategic investment positioned Topgolf to leverage AI more effectively across its development lifecycle.
Topgolf faced the challenge of moving from sporadic, exploratory AI usage to a structured, repeatable approach that could scale across its engineering teams. With a new CTO, Jay Spears, who had prior success implementing AI, the company sought to embed AI capabilities into its software development lifecycle. The goal was to accelerate delivery, improve consistency, and enable engineers to confidently integrate AI into their workflows. Without a clear framework or internal expertise to drive this transformation, Topgolf needed a partner to provide training and practical mentorship.
Improving delivered its proprietary Deep Learning Program, a 12-week cohort-based training engagement that builds AI proficiency within engineering teams. The program included bi-weekly 4-hour classes led by an Improving expert, complemented by embedded engineering mentorship for real-time support. Additional value was provided through labs, one-on-one sessions, and AI-focused lunch-and-learns with Improving specialists. The curriculum emphasized practical application, breaking down the software development lifecycle into reusable, AI-enabled skills. This approach integrated learning into the participants’ daily work, driving adoption and confidence.
Increased AI adoption and confidence Participants reported a 15% increase in self-assessed AI usage and trust, with individual AI metrics improving by approximately 9% over the course of the program.
Accelerated software delivery processes By embedding AI practices into the development lifecycle, teams gained tools and techniques to streamline workflows and improve efficiency.
Hands-on learning Classroom instruction, embedded mentorship, and tailored labs ensured participants could immediately apply new skills in their work environment.
AI tools and platforms Participants used tools such as Claude, Claude Code, CoWork, and ChatGPT, with some teams leveraging Unity for game development contexts.
Cohort-based training methodology The DLP utilized a structured, iterative learning model with bi-weekly sessions, labs, and embedded mentorship to reinforce concepts.
The engagement was delivered entirely by Improving without external partners. The success relied on close collaboration between Improving’s experts and Topgolf’s engineering teams, supported by leadership sponsorship from the CTO.
The Deep Learning Program successfully advanced Topgolf’s AI maturity, equipping engineering teams with the skills and confidence to integrate AI into their workflows. Improving delivered a practical and transformative program. The measurable increase in AI adoption underscores the program’s effectiveness in driving cultural and technical change. This engagement highlights Improving’s ability to stay at the forefront of AI innovation and translate that expertise into meaningful client outcomes.
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