Trida Academy5 courses

A practical certification for engineers who can take a real customer problem from discovery to production — understanding the business requirement, designing the solution, building the application, integrating AI and enterprise systems, deploying it, and supporting it in production.

This is focused on the organizational transformation around the technical core an FDE builds — not the code itself. Taught through ACME Inc, a fictional logistics company, across five modules of Claude agent architecture, then tested on a new client in the capstone to prove the approach transfers.

This certification validates production-grade competency across the advanced AI engineering stack: transformer architecture and foundation models, context engineering, advanced retrieval-augmented generation, agentic systems and protocols, memory-efficient fine-tuning, evaluation, security and guardrails, observability, DevOps and cloud deployment, and the reliability practices required to run AI systems in production.

This certification establishes foundational competency across the modern AI application stack: software development, web APIs, databases, AI and LLM fundamentals, prompt engineering, embeddings, retrieval-augmented generation, basic agents, AI application security, evaluation, and deployment fundamentals.

Trida FDE Fundamentals builds the core engineering foundation every Forward Deployed Engineer relies on. It begins with Python, Git, JavaScript, and TypeScript, then covers APIs and databases before moving into modern AI engineering: large language models, retrieval-augmented generation, agent frameworks, and the Model Context Protocol. It concludes with evaluation, observability, and containerized deployment — the practices that carry AI systems into production and keep them reliable there — preparing you for the Trida Forward Deployed Engineer course.