AI architects and technical leads
AI Systems Architect Track
Agent architecture, autonomous systems, MCP, AI systems development, and scaling infrastructure for senior technical roles.
5
15
40
Included certificates
Review the courses in this career track before continuing to checkout.
AI Agents Certificate
Understand agent architecture, tool use, memory, planning, and multi-agent coordination for real applications.
Agent Concepts
3 lessons
Tools, Memory, and Planning
3 lessons
Multi-Agent Systems
2 lessons
Certified Autonomous AI Agents Architect
Design production-grade autonomous and multi-agent systems with tool use, memory, planning, evaluation, and human control.
Agent Foundations
3 lessons
Multi-Agent System Design
3 lessons
Agent Production Operations
2 lessons
Certified AI Systems Developer
Build end-to-end AI systems with agents, pipelines, orchestration, LangChain, Ray, Kubernetes, and vector databases.
End-to-End AI System Architecture
3 lessons
Orchestration and Runtime
3 lessons
Production Reliability
2 lessons
Certified AI Infrastructure & Scaling Engineer
Serve models reliably with inference optimization, GPU scheduling, model gateways, observability, and capacity planning.
Model Serving Foundations
3 lessons
GPU and Inference Optimization
3 lessons
Platform Operations
2 lessons
MCP Development Certificate
Build Model Context Protocol servers that expose tools, resources, and prompts to AI clients safely.
MCP Fundamentals
3 lessons
Building MCP Servers
3 lessons
Production MCP
2 lessons