CCA-F prep + deep AI engineering courses
Proctored mock exams, real activity tracking, and evidence-based recommendations for the CCA-F certification. Plus in-depth courses on Claude, agentic engineering, OpenCode, loop engineering, and graph engineering.
No card· No account· No limits
169
Lessons
Across CCA-F domains & courses
800+
Questions
Domain, mixed, and full mock formats
10
Courses
From Claude basics to graph engineering
720/1000
Pass score
Same scale as the real CCA-F exam
Graph Engineering: The Fifth Layer
The newest layer of AI engineering: when one loop stops being enough, coordination becomes the engineering. Six lessons take you from the evolution arc to nodes, edges, and state, then into frameworks, design judgment, and production practice.
The stack that led here
Prompt
one response
Context
one model call
Harness
one agent run
Loop
one cycle
Graphyou are here
agent fleets
Each layer emerged to break a ceiling in the one below it. A prompt controls a response, a loop controls an agent's cycle, and a graph controls the organization of agents. Loops made agent behavior programmable. Graphs make agent fleets programmable.
The fake-edge test
Interrogate every “and then”. If the next step never reads the last one's output, the arrow is fake and the wait is pure waste.
The diamond
Fan out independent work, converge where dependencies are real, and finish at the speed of the slowest branch instead of the sum.
Loops vs graphs
A loop is a graph with one node and an edge back to itself. The discipline is choosing how many nodes your problem needs, and the default is one.
Anchors & ledgers
Topology alone does not buy truth. Ground the fleet on tests that ran, evidence that resolves, and a ledger of decisions that outlives the model.
The CCA-F exam, at a glance
A complete blueprint of what's tested, how it's weighted, and how to prioritize your study time. 60 questions · 120 minutes · 720/1000
The highest-weighted domain. Agent loops, planning, tool orchestration, multi-agent coordination, and the Claude Agent SDK (state, durable workflows, queues, retries, observability).
Configure and drive Claude Code: CLAUDE.md, custom commands, plan mode, hooks, MCP integration, CI/CD, and team workflow patterns.
Explicit criteria, few-shot, chain-of-thought, XML structuring, and reliable structured output via JSON schemas, tool_use, and validation-retry loops.
Design effective tools (clear descriptions, structured errors, safe execution) and integrate the Model Context Protocol, architecture, resources, tools, prompts, transports, and security.
Manage the context window (budgeting, compression, caching, RAG) and build for reliability: retries, fallbacks, guardrails, validation pipelines, and production hardening.
Why your scores here are real
Three things that make this different from other CCA-F prep sites.
Know where you are, every step
Courses for depth, CCA-F track for certification. Each phase feeds the next.
Courses
10 courses from Claude 101 to graph engineering. Pick your path, learn in depth.
Browse coursesDiagnose
60-question diagnostic maps your CCA-F strengths and gaps across all 5 domains with an estimated score.
Take diagnosticLearn & Practice
CCA-F lessons in domain-weight order, flashcards, mixed practice, and spaced repetition.
Open the pathMock & ready
Full-length mocks under proctoring. Readiness view tells you when to book the real exam.
Try a mockStraight answers
Questions you're probably asking right now.
Start anywhere. Go deep.
Whether you're aiming for the CCA-F certification or mastering a specific skill — courses, mocks, and real data guide every step.