Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Learn to turn ambiguous customer problems into production AI systems, and become the engineer who can own outcomes end to end.

DeepTech Entrepreneur, Technology Leader

Oracle