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As a Builder, you play a key role in turning ideas into powerful AI solutions. Whether you’re exploring core AI techniques, applying solution patterns, or developing end-to-end applications, Builders master the tools and approaches that bring ideas to life. From agents and RAG to fine-tuning and more, you’ll have the resources to design, optimize, and launch AI solutions with confidence.


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Learn how to combine embeddings, hybrid retrieval, and LLM-powered personalization to deliver smarter recommendations that drive engagement and conversions.

Solution accelerator: building recommendation systems

Learn how to design voice-first experiences using OpenAI’s Realtime API for natural, low-latency speech interactions across multiple use cases.

Solution accelerator: voice solutions

Discover how to incrementally automate customer service operations using AI agents, improving resolution speed, scalability, and customer satisfaction.

Solution accelerator: customer service transformation

Learn how to design AI-powered coding agents that automate test coverage, refactoring, and bug fixes, improving software quality and developer productivity.

Solution accelerator: building coding agents

A deep dive into building evaluation systems that support confident production launches. Covers eval harness design, regression testing, score interpretation, and iteration loops drawn from real customer deployments. Best for builders taking LLM applications from pilot to production.

AI Techniques (Production): Building Practical Evaluation Systems

A foundational introduction to agentic systems using the Agents SDK. Explains how agents work, how tools and memory are orchestrated, and where agent-based approaches are most effective. Best for builders exploring agent concepts prior to designing production architectures.

AI Techniques (Foundations): Introduction to Agentic Workflows

Learn how to design, evaluate, and operate agent-based systems in production. Recorded from Builder Bootcamp, this session covers real-world agent architecture patterns, tool orchestration, failure modes, and guardrails used by enterprise teams. Best for builders shipping agentic systems beyond prototype.

AI Techniques (Production): Designing Reliable Agent Architectures

Learn the fundamentals of evaluating LLM-powered applications. This session introduces core evaluation concepts, including test case design, scoring approaches, and how evals fit into the development lifecycle. Best for builders new to systematic evaluation or looking to refresh the basics before moving into production workflows.

AI Techniques (Foundations): Evaluating LLM Applications

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Solution accelerator: building recommendation systems