Claude Certified Architect Masterclass: CCAR-F & CCAR-P
Published 9/2026
Created by GIMIT eSERVICES
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 117 Lectures ( 19h 19m ) | Size: 22.2 GB
Master Anthropic Claude API, Prompt Engineering, Model Context Protocol (MCP), Agentic Workflows & Enterprise Scale.
What you'll learn
Master Anthropic's API Architecture: Configure secure developer consoles, manage token economics, control parameters, and stream real-time responses. Build Production Prompt Systems: Leverage XML tagging, prevent conversational drift, eliminate context amnesia, and enforce strict behavioral guardrails. Configure Local Developer Tooling: Set up CLI workflows, initialize Claude Code environments, and structure CLAUDE(dot)md project rulebooks efficiently. Implement Advanced Function Calling: Design robust tool schemas in Python and TypeScript, manage multi-turn interactions, and secure execution pipelines Enforce Structured JSON Outputs: Build automated validation retry loops, handle document parsing, extract accurate sentiment, and stop prompt injections. Build Model Context Protocol (MCP) Servers: Configure open-standard mcp & json files, expose secure file systems, and connect enterprise databases. Architect Autonomous Multi-Agent Systems: Deploy ReAct loops, utilize the Claude Agent SDK, manage subagent topologies, and enforce HITL safety gates. Scale Enterprise AI & Pass CCAR Exams: Master VPC deployments, prompt caching, Constitutional AI safety guardrails, and professional solution blueprints.Requirements
Basic Programming Knowledge: Familiarity with programming concepts (Python or JavaScript/TypeScript is helpful for the API and tool-calling sections, though explained step-by-step). An Anthropic Console Account: A computer with internet access and a free or paid Anthropic Developer Console account to generate and test API keys. Basic Understanding of LLMs: A foundational curiosity about Large Language Models and how prompting works (we cover the basics from scratch in Section 1). No Prior Claude Architect Experience Required: Whether you are a beginner stepping into the ecosystem or an experienced developer scaling enterprise apps, this course guides you from foundations to professional mastery.Description
This course contains the use of artificial intelligence.
Master Anthropic's Claude Ecosystem & Clear Your CCAR-F & CCAR-P Certifications!
Are you ready to become a certified authority in designing enterprise-grade AI systems with Anthropic's Claude? This comprehensive, end-to-end masterclass is meticulously designed to take you from foundational API configuration to advanced autonomous multi-agent architecture.
Whether you are aiming for theClaude Certified Architect - Foundations (CCAR-F) or theClaude Certified Architect - Professional (CCAR-P) credential, this course covers every core domain tested on the exams through practical, production-ready implementation.
What You Will Learn Across 10 Comprehensive Sections
Foundations & API Engineering: Set up secure developer consoles, master message payloads, track token economics, configure hyperparameters, and implement streaming responses.Prompt Engineering & XML Tagging: Build production-grade system messages, use XML tags like , prevent conversational drift, and design behavior guardrails.Developer Tooling & Claude Code: Configure CLI-driven workflows, structure CLAUDE. md project rulebooks, handle file contexts, and execute safe code refactoring.Tool Use & Function Calling: Connect Claude to external systems, write strict tool schemas in Python and TypeScript, manage multi-turn states, and design secure tool execution pipelines.Structured Outputs & Data Extraction: Enforce strict JSON schemas, build automated validation retry loops, handle document parsing, and defend against prompt injections.Model Context Protocol (MCP): Build open-standard MCP servers, configure .mcp.json files, expose local file systems securely, and connect enterprise databases.Agentic Architecture & Orchestration: Build ReAct (Reason + Act) loops, utilize the Claude Agent SDK, design hub-and-spoke multi-agent topologies, and enforce Human-in-the-Loop (HITL) gates.Enterprise Scaling & Optimization: Deploy within VPCs, enforce zero-data retention policies, implement prompt caching to slash costs, and build automated CI/CD pipelines.Safety, Red-Teaming & Governance: Apply Constitutional AI principles, mitigate jailbreaks, design output-filtering pipelines, and manage hallucinations programmatically.Professional Solution Design Masterclass: Dissect complex scenario-based case studies, balance cost-latency-accuracy trade-offs, and build real-world regulated financial and multi-agent code migration assistants.Who Is This Course For?
Software Engineers & Developers looking to integrate Claude APIs into production apps.AI Solutions Architects preparing for the CCAR-F and CCAR-P certification exams.Technical Leads & CTOs wanting to scale enterprise AI governance, security, and agentic workflows securely.Enroll today and take your AI engineering career to the professional level with Claude!
Who this course is for
Software Engineers & Developers: Programmers looking to integrate Anthropic's Claude API, build robust tool-calling functions, and deploy structured JSON data pipelines in Python and TypeScript. AI Solutions Architects & Technical Leads: Professionals designing enterprise-grade AI systems, multi-agent workflows, and secure Model Context Protocol (MCP) integrations. Certification Candidates: Anyone actively preparing to clear the Claude Certified Architect - Foundations (CCAR-F) and Claude Certified Architect - Professional (CCAR-P) certification exams. DevOps & Enterprise Security Professionals: Engineers responsible for deploying secure AI pipelines, implementing zero-data retention policies, managing prompt caching, and setting up VPC compliance. AI Enthusiasts & Advanced Students: Tech-savvy learners moving beyond basic prompt engineering into autonomous agentic loops, Constitutional AI, and production-scale resilience.Homepage
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