CCDV-F Hazırlığı: Claude Certified Developer Foundations

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The CCDV-F Hazırlığı: Claude Certified Developer Foundations course, taught by Dr. Amar Massoud, delivers a free Claude‑focused Udemy learning path for 2026. It answers the search queries “free Claude course”, “Claude udemy course”, and “learn Claude online” with practical production‑grade integration techniques. Updated July 2026, the curriculum teaches how to design, secure, and debug Claude‑based AI agents for real‑world deployments. Learners finish with the confidence to pass the Claude Certified Developer – Foundations exam and to build cost‑effective AI solutions.

What You'll Learn

• Build production‑ready Claude agents that handle streaming outputs without breaking the workflow.
• Master token management, context windows, and sampling to predict Claude’s behavior reliably.
• Learn how to diagnose broken prompts using the four‑sign diagnostic framework.
• Understand structured outputs and how to transfer output control from prompts to the API.
• Create tool‑use loops with correct schema selection, knowing which step belongs to your code.
• Implement context engineering strategies that define input, summary output, and omitted data.
• Apply Claude Code’s six permission modes, hierarchy settings, hooks, and sub‑agents correctly.
• Analyze error‑handling patterns, including retryable vs. permanent errors and silent HTTP 200 failures.

Course Details

• Instructor: Dr. Amar Massoud (Türkçe)
• Language: Turkish (tr‑TR)
• Certificate: No, the course does not issue an official certification
• Includes: Lifetime access, practice tests, hands‑on debugging assignments, final mock exam (53 questions)

What This Course Covers

Token & Context Engineering

• Token types, context window limits, and sampling strategies for predictable Claude responses.
• Techniques to forecast Claude’s behavior from underlying mechanisms.
• Managing context size to balance cost and performance.
• Real‑world examples of context overflow and mitigation.

Prompt Engineering & Structured Outputs

• Crafting robust prompts that avoid ambiguous interpretations.
• Using the four‑sign diagnostic method to fix broken prompts without endless trial‑and‑error.
• Designing structured outputs to shift control from prompt to API.
• Measuring actual cost impact of structured output designs.

Tool Use & Schema Design

• Building tool‑use cycles with correct schema selection for each integration step.
• Mapping tool calls to Claude’s decision points within a workflow.
• Identifying which code segment belongs to which tool interaction.
• Case study: an agent editing a production file through a multi‑step tool call.

Streaming & Flow Control

• Handling mid‑stream interruptions while preserving state integrity.
• Techniques for seamless streaming of large tool outputs.
• Strategies to prevent flow breaks during long‑running operations.
• Practical demo: processing a truncated AI‑generated document without data loss.

Claude Code Permissions & Hooks

• Overview of Claude Code’s six permission modes and hierarchical settings.
• Configuring hooks and sub‑agents for advanced control flow.
• Managing permission inheritance across nested agents.
• Example: securing a multi‑agent pipeline with minimal privilege.

Security, Error Management & Deployment

• Preventing prompt injection using ability limits, hooks, and isolation.
• Classifying errors into retryable, permanent, and silent HTTP 200 categories.
• Packaging builds as reusable accelerators for team consumption.
• Defining platform selection, version pinning, and security boundaries for production deployments.

Who Should Take This Course

• Software engineers developing production‑grade Claude applications rather than prototypes.
• Candidates preparing for the Claude Certified Developer – Foundations exam.
• Teams that have launched an LLM feature and face unexpected cost, latency, or silent failures.
• Professionals defending AI integrations during security or procurement reviews.
• Developers progressing from prompt experimentation to tool‑enabled autonomous agents.

Prerequisites

• Basic programming experience in at least one language (Python recommended).
• Familiarity with large language model concepts such as prompts and tokens.
• Recommended: prior exposure to API consumption and JSON schema design.

Why Enroll in This Course

The course offers a free coupon that grants 100 % off for a limited time, making it an attractive option for budget‑conscious learners in October 2026. By focusing on production concerns—cost control, error handling, and security—the curriculum stands out from generic Claude tutorials that only cover surface‑level API calls. Enrolling now provides immediate access to practice tests and a final mock