AI Code Editor & Vibe Coding Mastery

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Introduction to AI-Powered Coding

Discover the world of AI-assisted programming. Learn what AI code editors are, understand vibe coding, and explore how AI understands code. Get familiar with the benefits and limitations of AI in software development.

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Learning objectives • Understand what AI-assisted programming is • Compare traditional coding vs AI-assisted coding • Learn the concept of vibe coding • Understand how AI understands code (LLMs simplified) • Identify benefits and limitations of AI code editors • Explore the future of AI in software development

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Setting Up AI Code Editors

Get started with the most popular AI code editors. Learn to install and configure Cursor, VS Code with GitHub Copilot, and connect various AI models. Master API key management and security.

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Learning objectives • Install Cursor on Windows/Mac/Linux • Set up Visual Studio Code • Configure GitHub Copilot • Compare Cursor vs VS Code + Copilot • Connect AI models (GPT, Claude, Gemini) • Manage API keys securely

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Foundations of Vibe Coding

Master the mindset shift from syntax-focused to problem-focused coding. Learn to write effective prompts, break down problems, and know when to trust AI and when to verify.

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Learning objectives • Think in problems, not syntax • Write clear prompts for code generation • Break large problems into AI-friendly chunks • Ask AI for functions, bug fixes, refactoring, and documentation • Master iterative prompting (refine → improve → optimize) • Know when NOT to trust AI blindly

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Prompt Engineering for Developers

Become an expert at crafting prompts that get the code you need. Learn context setting, few-shot prompting, constraining outputs, and creating reusable prompt templates.

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Learning objectives • Understand anatomy of a good coding prompt • Use context setting (role-based prompting) • Master few-shot prompting for consistent output • Constrain AI output (language, framework, style) • Debug prompts when AI gives wrong code • Create reusable prompt templates

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AI-Assisted Python Development

Build Python applications faster with AI. Generate scripts, create tools, debug errors, refactor code, and write tests using AI assistance.

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Learning objectives • Generate Python scripts with AI • Build mini tools using AI • Debug Python errors with AI help • Refactor messy code • Write unit tests using AI • Use code explanation mode for beginners

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AI Debugging & Code Optimization

Use AI to find bugs, optimize performance, review security, and improve code quality. Learn to convert code between languages and enhance maintainability.

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Learning objectives • Find logical errors using AI • Optimize performance with AI • Conduct security review using AI • Perform AI-assisted code review • Convert code from one language to another • Improve readability & maintainability

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Building Real Projects with AI

Build complete applications using AI assistance. Create CRUD web apps, REST APIs, chatbots, and automate tasks. Learn rapid MVP development from idea to working project.

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Learning objectives • Build AI-assisted CRUD web app • Create REST APIs with AI • Build a chatbot using AI • Automate repetitive tasks • Develop rapid MVPs using AI • Go from idea → prompt → working project

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AI Ethics, Limitations & Responsible Coding

Understand the ethical implications and limitations of AI coding. Learn about hallucinations, copyright concerns, security, and maintaining coding skills without over-dependence.

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Learning objectives • Understand AI hallucination in code • Learn copyright & licensing concerns • Handle data privacy & API security • Avoid overdependence on AI • Prepare for AI detection & interviews • Practice writing code without AI (balance training)

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Productivity & Workflow Mastery

Optimize your development workflow with AI. Master shortcuts, write specs, generate documentation, integrate with Git, and build your personalized AI coding workflow.

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Learning objectives • Master AI shortcuts in Cursor • Write specs before coding • Generate AI-driven documentation • Integrate Git with AI • Use code explanation for team collaboration • Build your AI coding workflow

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Capstone & Portfolio Building

Build a complete SaaS project using AI, deploy it, and prepare for interviews. Create a GitHub portfolio showcasing your AI-assisted development skills.

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Learning objectives • Build a SaaS mini project using AI • Deploy project (AWS / Vercel) • Document AI usage properly • Create GitHub portfolio • Prepare for AI-based coding interviews • Simulate real-world developer workflow