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Panaversity offers two parallel certification tracks. Pick the one that matches your background: tap the toggle below or click either card to load its full curriculum.
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Five Courses to Certified Agentic AI Architect
From mastering AI agents to building and deploying them at cloud scale: earn the Certified Agentic AI Architect credential across four levels.
Includes Claude Certified Architect — Foundations (CCA-F) by Anthropic in Q4
The Learning Path
The Certified Agentic AI Architect is a five-course professional certification program for computer science practitioners and AI engineers. It takes you from AI-driven development fundamentals through building and deploying Agent Factories at cloud scale.
The program follows a progressive four-level certification structure. Each level is earned by passing the corresponding course's exams. All four levels culminate in the Certified Agentic AI Architect credential. Critical thinking skills from Part 0 (Thinking is the Curriculum) and hands-on OpenClaw projects run as parallel tracks throughout.
| Course | Title | Key Domains | Level Earned |
|---|---|---|---|
| AI-101 | AI-Driven Development, Claude Code, and OpenClaw Fundamentals | Claude CodeOpenClawAI AgentsMarkdown Specs | ☆ Contributes to Level 1 |
| AI-151 | Context Engineering, Spec-Driven Development, and Advanced Claude Code | Context EngineeringAgentic WorkflowsVersion Control | ★ Earns Level 1 |
| AI-251 | Learn to Think and Program in the AI Era | PythonType-Driven AITestingOOPCLI & APIs | ★ Earns Level 2 |
| AI-321 | Building AI Agent Factory+ CCA-F (Anthropic) | Claude Agent SDKMCPFastAPIRAG+ CCA-F Domains | ★ Earns Level 3 + CCA-F |
| AI-451 | Deploying Agent Factories in the Cloud | DockerKubernetesKafkaCI/CDMulti-Cloud | ★ Earns Level 4 |
Claude Certified Architect — Foundations (CCA-F)
Anthropic launched the CCA-F as its first official technical certification, backed by a $100 million investment in the Claude Partner Network. It is a proctored, scenario-based, architecture-level exam that validates whether a practitioner can design and ship production-grade Claude applications at enterprise scale.
In this program, the CCA-F serves as a supplementary certification in Course 4 (AI-321). By the end of AI-321, students have covered all five CCA-F exam domains through the Panaversity curriculum. The CCA-F adds an external, industry-recognised credential from Anthropic that validates their production architecture skills alongside the internal Panaversity exams.
Each course earns you a progressive certification: see the ladder below.
Certification Ladder
Four progressive certification levels. Each earned by passing the corresponding course's exams. All four culminate in the Certified Agentic AI Architect credential.
Explore each course's full syllabus below.
Curriculum Details
Five courses of hands-on learning. Expand each course to see the full syllabus, assessments, and certification pathway.
AI-101
AI-Driven Development, Claude Code, and OpenClaw Fundamentals
The software industry is shifting from tools you operate to AI employees that operate for you. In this course you master Claude Code and meet your first personal AI employee through OpenClaw. You also develop the critical thinking skills to know when AI is confidently wrong. Two certification exams included.
AI-151
Context Engineering, Spec-Driven Development, and Advanced Claude Code
After AI-101 you can use Claude Code. After this course you get consistently excellent results from it. This course teaches context engineering, Spec-Driven Development, and scaling Claude Code to teams. The second half applies everything to real workflows: file processing, cloud databases, and version control.
AI-251
Learn to Think and Program in the AI Era
Two tracks, one goal: build real software with AI and think clearly enough to know when it is wrong. The programming track teaches Python for the AI era. Describe what you want using types and tests, AI generates the code, you verify it works. Nine phases take you from reading AI-generated code to architecting complete systems independently.
AI-321
Building AI Agent Factory
Levels 1 and 2 taught you to direct AI agents and program with them. This course teaches you to build your own. Using agent frameworks like OpenAI Agents SDK, you create custom AI agents that handle real work. Every major topic produces a working project.
AI-451
Deploying Agent Factories in the Cloud
You built the agents; now make them run 24/7 in the cloud. Package services into containers, deploy on auto-scaling clusters, build event-driven pipelines, automate delivery, and instrument with monitoring. The course ends with deploying across multiple cloud providers.