Name: AI-Powered Coding: Learn to Build Software with Claude
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Created byMustafa EROL

Last updated 4/2026

English

What you'll learn

Learn to write code from scratch by communicating effectively with Claude AI
Build 6 real-world projects: calculator, to-do app, web scraper, API integration, automation, data analysis
Work professionally from the terminal using Claude Code and extend it with MCP servers
Learn to read, understand, and fix errors systematically with AI-assisted debugging
Understand how AI thinks — tokens, context windows, hallucinations — so you can get better results
Navigate the AI landscape: compare Claude, ChatGPT, Gemini, and open-source models to choose the right tool
Set up a complete development workflow: Python, Node.js, Claude Code, Git, and GitHub from scratch
Think like a developer: plan projects, write documentation, publish to GitHub, and deploy to the web

Course content

11 sections • 102 lectures

Welcome — Course Opening and Philosophy2:48
Learn the philosophy behind this course: why understanding code matters more than memorizing syntax, and how AI changes the way we build software.
What Happens in Your Head While You Learn2:41
Discover how your brain forms new neural pathways when learning to code, and why the struggle you feel is actually a sign of growth.
Meet Claude Code2:14
Get your first look at Claude — the AI that will be your coding partner throughout this course. See what it can do and why it's different.
Course Roadmap3:29
See the complete journey ahead: from zero coding knowledge to building real projects with AI. Know exactly what you'll learn in each module.
What to Do When You Are Stuck4:18
Learn proven strategies for getting unstuck when coding feels impossible. Every developer hits walls — here's how to break through them.

What Is Claude?3:12
Meet Claude by Anthropic — understand what makes it different from other AI assistants and why it excels at coding tasks.
How Does Claude Work?3:49
Peek under the hood of Claude's language model. Understand tokens, context windows, and how Claude generates its responses.
Explore the Interface2:07
Navigate Claude's interface like a pro. Learn where everything is and how to use each feature effectively.
Have Your First Conversation2:21
Start your first real conversation with Claude. Learn how to ask questions, give instructions, and get useful coding help.
Models and Pricing3:21
Compare Claude's model tiers — Haiku, Sonnet, and Opus. Understand pricing, rate limits, and which model to use when.
File Uploads and Analysis2:15
Learn to upload code files, documents, and data for Claude to analyze. See how Claude handles different file types.
Claude Core Features3:19
Master Claude's essential features: Projects, Artifacts, conversation management, and the tools that make you more productive.

What Is a Prompt?2:04
Understand what prompts really are and why they matter. The quality of your prompt directly determines the quality of AI's response.
Core Prompt Techniques3:15
Learn the fundamental prompting techniques: be specific, provide context, use examples, and structure your requests clearly.
System Prompts2:59
Discover system prompts — the hidden instructions that shape Claude's behavior. Learn to set the stage before any conversation.
Code-Specific Techniques3:02
Master prompting techniques designed specifically for coding: specifying languages, frameworks, error handling, and code style.
Iterative Development2:53
Learn the art of iterative prompting — building complex solutions step by step instead of asking for everything at once.
Avoiding Language Traps2:18
Identify common language pitfalls that confuse AI. Learn which words and phrases lead to misunderstandings and poor results.
Anti-Patterns: Don't Do This2:38
See the most common prompting mistakes and why they fail. Learn what NOT to do so you can avoid wasting time and tokens.
Prompt Strategies2:19
Advanced prompting strategies: chain-of-thought, few-shot examples, role-playing, and structured output formats.
Prompt Practice3:08
Put your prompting skills to the test with hands-on exercises. Practice writing effective prompts for real coding scenarios.

How Does AI Generate a Response?2:13
Understand the step-by-step process of how AI generates text — from tokenization to probability distributions to final output.
Context Window: AI Working Memory3:54
Learn what a context window is, why it matters, and how to work within its limits to get the best results from AI.
Hallucination: When AI Gets It Wrong2:48
Understand why AI sometimes generates confident but completely wrong answers. Learn to spot and prevent hallucinations in code.
Temperature and Creativity1:36
Discover how the temperature setting controls AI's creativity vs. accuracy. Know when to use high vs. low temperature.
Language Traps3:05
Explore how specific words and phrases can mislead AI into giving poor responses. Master the vocabulary that works best.
When Do You Trust, When Do You Verify?2:47
Build a practical framework for deciding when to trust AI output and when to verify it. Critical thinking for the AI age.
Benchmark Tables3:09
Read and understand AI benchmark tables. Compare models using standardized tests like MMLU, HumanEval, and SWE-bench.
The Dark Side of AI3:45
Confront the real risks of AI: bias, privacy concerns, job displacement, and the ethical dilemmas of AI-generated code.
How Does AI Learn?3:34
Understand the training process: pre-training on massive datasets, fine-tuning, RLHF, and how AI models improve over time.
Master the Context Window3:04
Advanced techniques for managing long conversations and complex projects within AI's context window limits.

How Does a Computer Think?2:22
Strip away the mystery: learn how computers process information using binary, logic gates, and sequential instructions.
Programming Languages3:10
Survey the programming landscape: Python, JavaScript, Rust, Go, and more. Understand which language fits which job.
Variables and Data Types2:02
Learn the building blocks of every program: variables, strings, numbers, booleans, and how to store and manipulate data.
Conditionals: if/else2:11
Make your programs think with conditional logic. Learn to write code that makes decisions based on different conditions.
Loops: Do It Again and Again2:21
Master loops — the power to repeat actions thousands of times in milliseconds. Learn for loops, while loops, and when to use each.
Functions: Recipe Cards1:45
Organize your code into reusable functions. Like recipe cards, functions let you package logic and call it from anywhere.
Error Handling: try/except2:12
Learn to write code that handles errors gracefully with try/except blocks and defensive programming techniques.
Data Structures: Lists and Dictionaries2:06
Store and organize collections of data using lists, dictionaries, and other structures — the backbone of real applications.
Live Coding Practice with AI2:23
Watch AI write code in real-time and learn to guide the process. Practice the workflow of AI-assisted development.
Seeing the Code: From Concept to Code2:44
Bridge the gap between ideas and implementation. Learn to translate real-world problems into working code with AI.
Anatomy of a Program2:43
Dissect a complete program from top to bottom. Understand how imports, functions, variables, and logic all fit together.

Project Development Approach2:31
Learn the systematic approach to building projects with AI: plan first, build step by step, test often, and iterate.
Reading Claude Code2:46
Master the critical skill of reading and understanding AI-generated code. Know what to look for and how to verify correctness.
Calculator Project2:46
Build a fully functional calculator from scratch with AI assistance. Your first complete project — simple but satisfying.
To-Do App2:53
Create a to-do application with data persistence. Learn about CRUD operations and basic user interface concepts.
Web Scraper Project2:06
Build a web scraper that extracts data from websites. Learn about HTTP requests, HTML parsing, and data extraction.
API Integration Project2:16
Connect your code to real-world APIs. Build an application that fetches and displays live data from external services.
File Automation Project2:00
Automate tedious file operations: renaming, organizing, converting, and batch processing files with Python scripts.
Data Analysis Project2:12
Analyze real datasets using Python and AI. Create visualizations and extract meaningful insights from raw data.
Project Review and Evaluation1:41
Review all your projects with a critical eye. Learn to evaluate code quality, identify improvements, and refactor effectively.
The Curiosity Engine4:25
Develop the mindset of a curious developer. Learn to ask 'what if?' and explore ideas beyond the boundaries of tutorials.
How Does the Web Work?2:51
Understand the web from the ground up: HTTP, DNS, servers, clients, and how browsers turn code into visible pages.
Introduction to SQL and Databases3:37
Learn the basics of databases and SQL. Store, query, and manage structured data — a must-have skill for any developer.

What Is a Bug?2:07
Understand what bugs really are, where they come from, and why they're an inevitable — and valuable — part of programming.
The Debugging Mindset1:49
Develop the mental framework of a great debugger. Learn to stay calm, think systematically, and even enjoy the hunt.
Reading Error Messages2:18
Transform cryptic error messages into helpful clues. Learn to decode tracebacks, stack traces, and common error types.
Print Debugging2:25
Master the simplest and most powerful debugging technique. Learn strategic print placement to track down any bug.
Debugging with AI2:33
Use Claude as your debugging partner. Learn to share error context effectively and get targeted, accurate solutions.
Common Bug Patterns3:15
Recognize the most frequent bug patterns: off-by-one errors, type mismatches, scope issues, and async problems.
Debugging Practice2:51
Practice debugging with intentionally broken code. Find and fix real bugs to sharpen your debugging instincts.
Evaluating AI Code3:27
Learn to critically evaluate AI-generated code. Spot potential bugs, security issues, and logic errors before they cause problems.

What Is Claude Code?2:17
Discover Claude Code — the AI-powered CLI tool that reads, writes, and manages your entire codebase from the terminal.
Installation and Core Commands3:11
Set up Claude Code on Windows, macOS, and Linux. Learn the essential commands to start coding at the speed of thought.
MCP: Claude Hands and Eyes2:17
Understand the Model Context Protocol (MCP) — the universal standard that gives Claude access to external tools and data sources.
MCP Setup and Servers2:31
Set up MCP servers and connect Claude to databases, browsers, file systems, and other development tools.
GitHub MCP2:03
Connect Claude Code to GitHub. Manage repositories, pull requests, issues, and code reviews directly from the terminal.
Browser MCP1:57
Give Claude eyes on the web. Control a browser, scrape pages, and interact with web applications through MCP.
Database MCP2:21
Connect Claude to databases. Query, analyze, and manage your data without leaving the command line.
Advanced Features3:09
Explore Claude Code's advanced features: extended thinking, multi-file editing, project memory, and session flags.
Best Practices and Security4:22
Learn the security model and best practices for Claude Code. Understand permissions, API key safety, and responsible usage.
Deep Dive into Terminal3:13
Master the terminal environment. Essential commands, shortcuts, pipes, and workflows every developer should know.
The Claude Ecosystem3:48
See the full Claude ecosystem: Cowork, Chrome Extension, API, Desktop app, and how all the pieces work together.

Project Selection and Planning2:07
Choose your final project and create a detailed plan. Learn to scope features, design architecture, and prepare for a real build.
Git and GitHub2:59
Master version control with Git and GitHub. Track changes, create branches, and collaborate like a professional developer.
Setting Up the Foundation3:30
Build the project foundation: directory structure, dependencies, configuration files, and the initial boilerplate code.
Adding Features (Part 1)1:48
Start building your project's core features. Learn to break complex functionality into manageable AI-assisted coding sessions.
Adding Features (Part 2)1:54
Continue adding features and learn to integrate multiple components into a cohesive, working application.
Debugging and Testing2:20
Debug your final project and add tests. Ensure your code works correctly and handles edge cases before deployment.
Documentation2:35
Write clear documentation for your project. Create README files, inline comments, and user guides that actually help.
Publishing2:34
Deploy your project to the world. Learn about hosting, domains, VPS/VDS options, and making your project publicly accessible.
Wrap Up and Present3:40
Present your completed project. Reflect on your journey from zero coding knowledge to building real software with AI.

Active Learning vs. Passive Watching2:19
Understand why watching tutorials isn't enough. Learn the science of active learning and how to actually retain new skills.
Resource Management2:07
Manage your learning resources effectively. Avoid tutorial hell and build a focused, practical study plan that works.
How Do You Stay Current?2:08
Keep up with the fast-moving AI and tech landscape. Learn which sources to follow and how to filter signal from noise.
Map Out Your Own Learning Path1:40
Create a personalized learning roadmap based on your goals — whether web dev, data science, automation, or something else.
Next Steps and Resources3:32
Get a curated list of resources, communities, and paths to continue your development journey after this course.
Final Words1:55
Closing thoughts on your transformation. You started with zero coding knowledge and now you build real projects with AI.
AI Does Not Make You an Expert5:20
A critical reality check: AI is a powerful tool, but understanding fundamentals still matters. Learn the right balance.

Requirements

A computer with an internet connection (Windows, Mac, or Linux). No programming experience required

Description

Never written a line of code? Perfect — this course was made for you.

This course doesn't just teach you "how to code." It teaches you how to code with AI. Traditional programming courses have you memorizing syntax for months. This course is different: using Claude AI as your coding partner, you'll produce working projects from day one.

By the end of this course, you'll be able to communicate effectively with Claude to write code on demand, understand Python's core building blocks (variables, loops, functions), build real projects (calculator, to-do app, web scraper, API integration), find and fix bugs systematically, work professionally from the terminal with Claude Code, plan, build, and publish a comprehensive final project, and master advanced Claude features including Projects, Artifacts, Hooks, Extended Thinking, and Research Mode.

Who is this course for? Anyone who's curious about coding but hasn't tried it yet. People who want to use AI tools to boost their productivity. Non-technical professionals considering a career change. Entrepreneurs who want to bring their own ideas to life.

Who is this course NOT for? Developers who already know how to code (this is beginner-level content). Those who only want to learn AI theory (this course is hands-on and project-driven).

Throughout the course, we take a "build and learn" approach instead of "watch and forget." Every module includes practical examples, active learning prompts, and real-world scenarios. The course contains 11 modules and over 100 video lessons that guide you step by step from absolute zero to building and publishing your own software projects.

Who this course is for:

Complete beginners who are curious about coding and want to start with AI assistance

What you'll learn

Explore related topics

Course content

Introduction — Why Are You Here?5 lectures • 16min

Getting to Know Claude7 lectures • 20min

Writing Effective Prompts9 lectures • 25min

How Does AI Think?10 lectures • 30min

Introduction to Programming11 lectures • 26min

Your First Real Projects12 lectures • 32min

The Art of Debugging8 lectures • 21min

Claude Code and Advanced Tools11 lectures • 31min

The Big Final Project9 lectures • 23min

The Independent Developer Path7 lectures • 19min

Requirements

Description

Who this course is for: