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Master Claude agentic architecture, MCP tool integration, Claude Code workflows, prompt engineering, and context management. The definitive certification for building production AI systems with Claude.
Practice with 300 curated questions covering all exam domains. Each question includes detailed explanations.
Interactive flashcards for memorizing agentic patterns, MCP protocols, Claude Code commands, and prompt engineering techniques.
Simulate the real exam experience with timed, scenario-based practice tests and detailed performance analytics.
Detailed notes covering agentic architecture, MCP integration, Claude Code workflows, prompt engineering, and context management.
Curated collection of Anthropic documentation, Claude API references, and MCP specification resources.
Personalized study schedules and learning roadmaps to help you prepare for the CCA-F exam efficiently.
View your strengths, areas to improve, and performance by domain. Track your journey to certification.
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300+ questions • 3 practice exams
90 minutes
~60 questions
720 (scaled)
CCA-F
Anthropic
Agentic loop pattern and stop_reason handling, Multi-agent hub-and-spoke architecture, Coordinator-subagent communication patterns
MCP client-server architecture and JSON-RPC 2.0, MCP primitives: Tools, Resources, Prompts, Transport layers: stdio and SSE/HTTP
CLAUDE.md configuration hierarchy, Custom slash commands in .claude/commands/, Hooks: PreToolUse, PostToolUse, Notification
System prompt structure with XML tags, Response prefilling for format control, Structured output via tool use schemas
Context window optimization strategies, Prompt caching with cache_control markers, Context compaction and summarization
Understand how neural networks work, from perceptrons to deep learning architectures like CNNs and transformers.
Learn how machines understand and process human language, from tokenization to modern LLMs.
Understand how machines see and interpret visual information, from image classification to object detection.
Build AI apps and agents with Microsoft Foundry
Foundational AI/ML concepts on AWS
Build and deploy generative AI applications
Design, implement, and maintain ML solutions on AWS
Switch tracks quickly and compare demand-heavy exams before you commit.
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