GenAI Engineering Platform

Master GenAI engineering disciplines

12 disciplines mapped to the real-world GenAI job descriptions that teams hire for.

Each bundles the reading material, quizzes, labs, and open-source PR analysis to take an engineer from capable to production-ready — whether you're leveling up yourself or upskilling your team.

Not sure where to start? Find your level — 15-min placement

GenAI Application Engineering

Build production RAG & prompt chain applications, design streaming chat UIs, implement guardrails & evaluation, optimize LLM inference costs, and deploy on Kubernetes.

8 courses732 goals

GenAI Agent Engineering

Build autonomous multi-agent systems with planning, reasoning, tool use, memory, MCP/A2A protocols, safety boundaries, and production evaluation.

5 courses790 goals

GenAI Inference Engineering

Architect multi-provider LLM gateways, implement semantic caching and batch optimization, monitor provider SLAs, and optimize inference costs.

7 courses614 goals

GenAI Platform Engineering

Build internal GenAI developer platforms with self-service capabilities, multi-tenancy, RBAC, CI/CD for model/prompt/guardrail pipelines.

9 courses795 goals

Forward Deployed GenAI Engineering

Rapid-prototype GenAI solutions on customer infrastructure, integrate GenAI with customer data and workflows, scope solutions with delivery methodology.

9 courses913 goals

LLMOps Engineering

Monitor hallucination rates and token costs, operate guardrails and eval gates, manage prompt versioning and canary deployments.

8 courses869 goals

GenAI Safety & Evaluation Engineering

Design automated LLM evaluation pipelines, red-team GenAI systems, build bias detection and fairness benchmarks, implement guardrails.

7 courses702 goals

GenAI Security Engineering

Engineer defenses against prompt injection, jailbreaks, and data exfiltration. Implement PII leakage detection, content safety, and compliance.

8 courses779 goals

GenAI Solutions Architecture

Design enterprise GenAI reference architectures, create ADRs and technical standards, bridge GenAI with enterprise workflows.

11 courses1676 goals

GenAI Solutions & Delivery

Scope GenAI solutions with estimation, risk, and success criteria. Orchestrate delivery teams, manage client relationships.

10 courses1182 goals

GenAI Engineering Leader

Hire and build GenAI engineering teams, design team structures for GenAI, set engineering quality frameworks.

9 courses1063 goals

GenAI Data Engineering

Build RAG data pipelines for ingestion, chunking, embedding, and indexing. Manage vector store operations and embedding model lifecycle.

8 courses542 goals

From per discipline · 20% off on 6-month plans

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