Claude Ustalığı
Learn from scratch what Claude is, how it differs from traditional chatbots, and how it will reshape your daily workflow.
Table of Contents
1. Foundations — Welcome to Claude
- 1
What is Claude? The New Generation of AI Assistants
Learn from scratch what Claude is, how it differs from traditional chatbots, and how it will reshape your daily workflow.
- 2
Anthropic, Constitutional AI and Safety Philosophy
Understand Constitutional AI, Anthropic's safety philosophy, and the reasoning behind what Claude refuses to do.
- 3
Meet the Models: Opus, Sonnet, Haiku Compared
Learn the strengths, costs, and speed of Claude's three main models (Opus, Sonnet, Haiku) and which one to pick in each scenario.
- 4
Your First Conversation: Web, Mobile, and Desktop Tour
Tour every corner of Claude.ai web, mobile, and desktop apps; master Projects, Artifacts, and keyboard shortcuts from day one.
- 5
Claude's Capability Map and Limits
See where Claude shines and where it struggles on a clear capability map — covering hallucination, fresh data, and complex math.
2. Prompt Engineering Foundations
- 1
Clarity and Specificity: From Vague to Surgical Prompts
Vague prompts produce vague answers. Learn to surface the true intent under fuzzy requests and acquire surgical specificity.
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Structured Prompts with XML Tags
Make your prompts parseable, maintainable, and testable using the XML tags pattern Anthropic recommends.
- 3
Designing and Versioning Prompt Templates
Production prompts should be treated like code: templates, parameters, versions, tests, and monitoring. Learn to manage them with software-grade discipline.
3. Advanced Prompting Techniques
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System Prompt and Persona Design
How do you design Claude's personality, boundaries, and behavior frame via the system prompt? Production-ready persona patterns inside.
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Output Format Control: JSON, Markdown, Tables
Master three techniques to keep Claude's output parseable, consistent, and error-free: schema, prefill, and validator-loop.
- 3
Multi-Step Task Decomposition
Instead of solving complex tasks in one prompt, break them into modular subtasks for better accuracy, testability, and cost.
- 4
Prompt Debugging: Why Isn't This Working?
Prompt not working? Learn a systematic diagnostic tree, logging strategy, and model swap checklist.
- 5
Token Economy and Cost Optimization
Produce the same quality at 50-90% lower cost using token economy: prompt caching, model tiering, output constraints, batching.
4. Coding with Claude
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Generating Functions and Classes from Scratch
Workflow for producing production-ready functions/classes from a clear spec with Claude: signature, edge cases, tests, docs.
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Code Review, Refactor, and Optimization
Use Claude as a code reviewer: pattern detection, refactor suggestions, performance tuning, and security review.
- 3
Bug Hunt: From Stack Trace to Fix
Workflow for systematically finding a bug with Claude: minimum repro, hypothesis, isolation, fix, regression test.
- 4
Test Writing, TDD, and Coverage Strategies
Workflow for writing tests with Claude: unit, integration, property-based, snapshot. Coverage targets and which tests not to write.
- 5
Documentation, Docstrings, and README Generation
Generate docstrings, READMEs, ADRs, runbooks with Claude. Turn docs from a debt into a revenue-producing asset.
- 6
Claude Code: Working in the Terminal
Claude in the terminal via Claude Code CLI — project mapping, file editing, code execution, hooks, and plan mode.
5. Creative and Professional Writing
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Blog, Article, and Long-Form Content
From a topic seed to a 2,000-4,000-word quality long-form piece with Claude — including SEO, tone, and originality.
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Emails, Briefs, and Business Correspondence
Cold sales emails, customer save, bad-news memos, briefs — proven prompt patterns for every kind of business writing.
- 3
Story, Script, and Character Development
Fundamentals of character, conflict, scene, and dialogue + ethics of creative writing with Claude. From novel design to short-film scripting.
- 4
Translation, Localization, and Style Consistency
Beyond word-for-word — cultural adaptation, brand voice, terminology memory, and QA cycle. Focus on Turkish-English.
- 5
Preserving Voice and Tone: Style Transfer
Transferring written voice to Claude — generating consistent output using your personal style, brand voice, or past writings.
6. Data Analysis and Research
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Working with CSV, JSON, and Tables
Reliably process tabular data with Claude: cleaning, transforming, validating, generating control code, and verifying the result.
- 2
Statistical Interpretation and Visualization
Stories, not just numbers — interpret statistical results with Claude, with significance thresholds and visualization choices.
- 3
Long Document Summarization and Synthesis
From 200-page reports to a 1-page brief: map-reduce, anchored summarization, and faithfulness evaluation.
- 4
Comparative Analysis and Multi-Source Evaluation
Way to weigh conflicting sources together: source-reliability tagging, contradiction maps, synthesis bias checks.
- 5
Catching Hallucination and Verifying Sources
You can't eliminate hallucination but you can catch it. Systematize verification of Claude output with 6 techniques.
7. Claude's Superpowers
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Tool Use: Granting Claude Real Capabilities
How to teach Claude to use a calculator, database, email, Slack, code sandbox? Anatomy of tool use and production patterns.
- 2
Vision: Image Understanding and Analysis
Screenshots, photos, charts, handwritten notes — extracting information from images with Claude vision, plus its limits.
- 3
PDF and Document Processing
Sending PDFs to Claude, extracting data from multi-page documents, and forms / contracts analysis.
- 4
Computer Use: Screen and Browser Control
Two capabilities where Claude controls your screen, browser, mouse and keyboard: Computer Use and Claude in Chrome. Includes safe-use practices.
- 5
Extended Thinking: Deep Reasoning Mode
Open the model's hidden thinking buffer on complex tasks: what extended thinking is, when to enable, and the cost.
- 6
Artifacts: Live Working Outputs
Mechanics of Artifacts — Claude's code, SVG, or React component live-rendered in a side panel. Build and iterate live.
8. Programmatic Claude with the API
- 1
Getting Started with the API: Auth, First Request, SDK Setup
Grab your API key from Anthropic console, install the SDK, run your first call. Python and TypeScript step by step.
- 2
Messages API: Multi-Turn Conversations
Building blocks of Messages API, system message, multi-turn conversation, response object, and token counting.
- 3
Streaming Responses and Real-Time UX
What streaming is, why it matters, and integration with SSE / Web Streams.
- 4
Tool Use API: Function Calling in Practice
Finish tool use over the API: full loop, parallel tools, error feedback, and schema validation.
- 5
Cut Cost up to 90% with Prompt Caching
Cache stable system prompts, large few-shot blocks, and long documents to slash input cost.
- 6
Batch API: Bulk Async Workloads
Run async workloads at 50% cost with the Batch API. Ideal for labeling, content generation, and evals.
- 7
Error Handling, Rate Limits, and Retry Strategies
Classify API errors, apply the right retry strategy, use idempotency keys, design DLQs.
9. Production
- 1
Eval Sets and LLM-as-Judge
Design eval sets that measure production quality: building, balancing, auto-scoring (LLM-as-judge), human calibration.
- 2
Prompt Injection, Jailbreak, and Defense
How adversarial users, malicious content, or manipulated data affect Claude — and eight defense patterns.
- 3
Cost Monitoring, Quotas, and Budget Alarms
Avoid bill surprises with a cost pipeline: per-user quotas, alarm thresholds, anomaly detection.
- 4
Latency, Caching, and Performance Optimization
Eight levers to reduce p50/p95/p99: model choice, caching, streaming, parallelism.
- 5
Logging, Tracing, and Observability
OpenTelemetry-compatible LLM tracing, structured log schema, error reporting, prompt-versioned observability.
10. Agent Design
- 1
What Is an Agent? Reactive vs Autonomous
Agent vs pipeline, the four building blocks (planner, memory, tools, controller), and which problems require an agent.
- 2
Build Your First Agent with the Claude Agent SDK
Hello-World agent with the Claude Agent SDK: tool definitions, system prompt, controller loop, and human approval.
- 3
Multi-Tool Agent Architectures (Planner-Executor)
Planner + executor separation, tool selection guidance, sub-agent invocation.
- 4
Memory, State, and Long-Term Context
Memory layers in multi-step / multi-session agents: scratch, episodic, semantic, user profile.
- 5
Human-in-the-Loop and Approval Flows
Gating risky agent actions through human approval: pre-execution diff, severity tier, audit log.
11. Real-World Projects
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Project: Multilingual Customer Support Assistant
TR/EN support pipeline: intent, FAQ, escalation, CSAT feedback. Which step on which model, and how to design evals.
- 2
Project: RAG Document Q&A System
RAG over company docs: chunking, embedding, retrieval, re-ranking, anchored answers.
- 3
Project: Code Review Automation
PR review automation with GitHub Actions + Claude: diff parsing, rubric-based comments, severity labels.
- 4
Project: Content Production Pipeline
From topic list to publish: outline → draft → editor → SEO → image suggestion → CMS publish. Human approval at each step.
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Project: Structured Data Extraction from PDFs
Invoices, contracts, forms — structured extraction with Claude vision + tool use. Accuracy metrics and audit trail.
12. Ecosystem and Certificate
- 1
MCP (Model Context Protocol) Integration
What is MCP and why? How to connect local/remote MCP servers to Claude. Examples with Slack, Notion, Postgres.
- 2
Skills, Plugins, and Marketplace
What are Skills, when to write one, what plugins are, how the marketplace works. Examples and publishing your own.
- 3
Community, Documentation, and Continuous Learning
Anthropic docs, cookbooks, Discord, papers, and a daily routine for keeping up.
- 4
Capstone Project + Final Quiz + Certificate
Real-world synthesis: design, build, and run an agent end-to-end, then take the final certification exam.