Udemy
Agentic AI Masterclass: OpenAI, Claude, LangGraph & Vercel
Artificial Intelligence · Development
Library / Artificial Intelligence
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If you are searching for CCDV-F, CCDVF, or CCDV, this is the Claude Developer Foundations certification prep course.
This course contains the use of artificial intelligence. However, every lecture recording involves me reading the scripts, and I am fully involved in scripting and production. Be careful buying courses with instructors that don't appear in person. AI courses are becoming quite common on learning platforms.
This course is a complete, structured study program for the Anthropic Claude Certified Developer — Foundations (CCDV-F) exam. Built domain by domain against the official exam blueprint, it covers every topic area you need to understand before sitting for the exam. Each lesson is a narrated video that explains how concepts connect to each other and to real-world practice, not just what the definition is, but how a practitioner applies it.
D1: Agents and Workflows (14% of the exam), covering workflow vs. agent: decision criteria and tradeoffs, manager/supervisor hierarchies and the role of subagents, claude agent sdk: query(), the agent loop, and input modes, custom agent loops and harnesses, managed agent deployment: self-hosted vs. anthropic-hosted, hooks for deterministic actions, agent design patterns: tool-use loops, subagents, memory, context-window management, agentic frameworks: langgraph vs. strands vs. pydanticai (identities and tradeoffs). You will understand how each of these areas is tested on the exam and how they connect to real-world practice.
D2: Applications and Integration (33% of the exam), covering deriving functional requirements from business needs, infrastructure requirements and solution-architecture fit, systems life cycle: develop, implement, operate, maintain, messages api structure and data-access patterns, tools, streaming, and vision, extended/adaptive thinking and prompt caching, message batches api: realtime vs.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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