Cognition Catalysts - AI Readiness Layer for Engineers

Role Curriculums

Structured roadmaps for production AI roles

Step-by-step skill progressions, interactive module quizzes, and linked Cloud IDE challenges designed around real engineering workflows.

3 Role Tracks
280+ Hours of Material
AI Engineer Track Live
Active Track

AI Engineer

Foundations → Production Systems · 120+ Hours

Master LLM orchestration, RAG architectures, agentic workflows, and production AI evaluation.

Core Competencies

LLM APIs & StreamingProduction RAGLangGraph & Agentic LoopsVector DB ScalingEvals & BenchmarkingSystem Architecture
In Development

Forward Deployed Engineer (FDE)

Intermediate → Advanced · 100+ Hours

Bridge AI capabilities with enterprise customer codebases, security boundaries, and custom data pipelines.

Core Competencies

Enterprise AI IntegrationCustom Enterprise RAGClient SDK & API DesignSecurity & RBAC ComplianceRapid POC EngineeringVPC / On-Prem Deployment
In Development

AI Product Manager (AI PM)

All Experience Levels · 60+ Hours

Define AI product architecture, non-deterministic UX patterns, evaluation benchmarks, and token unit economics.

Core Competencies

AI Product StrategyEval Benchmarks for PMsGenerative UX PatternsToken Unit EconomicsPrompt Specing & TestingAI Guardrails & Safety

Looking for a specific engineering specialization?

We build new curriculum tracks based on team and community demand (e.g., LLM Ops, AI Infrastructure, Evaluation Engineering, AI Security).

11online