“AI is affecting the operation of the entire industry. It’s critical to level up all teams to be conceptually and functionally familiar with how LLM’s work and how they can be used to increase efficiency for all roles. Having a focused course that introduces the concepts as well as allowing team members to actually develop solutions was critical to make sure everyone has the ability to utilize these tools."
From Zero to Agent: How a Leading Tech Company Accelerated Internal Automation with Custom AI Agent Training
The rapid integration of AI is challenging enterprises. The focus is not just on adoption, but on training diverse teams to apply it securely and at scale. Product School partnered with a global tech leader to deliver a custom, two-day training program focused on building internal AI Agents.
The result was tangible value: participants built working AI automation agents before the end of the second day, instantly delivering productivity gains back to the organization.
The Team and the Challenge
The Team: 20 internal professionals, ranging from non-technical team members to PhD-level Machine Learning engineers, a group united by the goal of improving internal efficiency.
The Goal: Move beyond theoretical AI understanding to practical application. Equip teams with the knowledge to build AI Agents and AI-generated code to automate team-level workflows and internal processes.
The primary challenge had two parts:
Bridging the Skill Gap: Ensuring that a broad audience, regardless of technical background, could grasp the concepts of Large Language Models (LLMs) and immediately translate them into working, agentic applications.
Enterprise Constraints: Operating within the org’s strict internal ecosystem which prioritizes security.
The Solution: A Custom, Hands-On AI Agent Workshop
Product School designed a two-day, on-site workshop focused on AI application, led by Jaekob Chenina, an instructor with a track record building AI solutions at companies like Meta (creating the B2B AI agent, Ads AI) and Doxel.
Day 1: AI Agents – Elevating Productivity | Day 2: AI Generate Applications |
|---|---|
Fundamentals of LLMs & Context: | AI Generated Code & Prototyping: |
Agentic Use Cases & Prompt Engineering: | Lessons from Production: |
Hands-On Agent Hackathon: | "The Wow Moment": |
"This course allowed us to ensure a baseline level of understanding on the team and everyone involved was able to develop a piece of working software despite multiple people having no coding experience at all."
The Results: Instant Application and Momentum
The custom training delivered value that exceeded the team’s expectations, driving engagement from the participants.
Functional AI Agent Deployment:
Using Product School’s "learn by doing" methodology, the team moved quickly from theory to practical execution. Participants successfully built and demonstrated functional AI agents designed for key internal processes, including:
• Task Management Tools
• Email Integrations for Workflow
• Automated Purchase Order Processors
• The creation of these agents allowed teams to improve their internal efficiencies and reduce manual workload.Engagement Exceeded Expectations:
The hands-on content was effective; participants became self-driven, wanting to prioritize application as quickly as possible. This engagement proved the training successfully ignited the team’s innovation.Vision-Setting and Accelerated Tool Adoption:
Despite the ecosystem constraints, a demonstration of leading AI-coding tools, which recreated a prototype in minutes, generated “aha” moments. The demonstration galvanized the team, leading to internal requests for IT approvals to adopt similar productivity tools.Fostering Internal Champions:
The training identified and began developing a cohort of internal "Champions", employees motivated to continue building and teaching others, ensuring the AI upskilling investment pays dividends long-term.
Make your Product Team AI-native
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