Udemy - Vibe Coding to Claude Code Mastery - Build AI Apps and Agents

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Udemy - Vibe Coding to Claude Code Mastery - Build AI Apps and Agents (Size: 2.5 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Vibe Coding Foundations (The Hook)
  1. What is Vibe Coding.mp4 44.6 MB
  2 - AI Fundamentals for Builders
  10. Tokens, Context Windows & Memory.mp4 37.6 MB
  11. Prompt → Output Lifecycle.mp4 40.2 MB
  12. Strengths & Limitations of AI.mp4 70 MB
  13. Common Mistakes Beginners Make.mp4 89.9 MB
  14. AI Builder Mindset.mp4 33.9 MB
  3 - Prompt Engineering Mastery
  15. What Makes a Great Prompt.mp4 51.6 MB
  16. Prompt Frameworks (Role, Task, Format).mp4 76.4 MB
  17. Zero-shot vs Few-shot Prompting.mp4 57.4 MB
  18. Structured Prompting Techniques.mp4 37.1 MB
  19. Prompt Chaining.mp4 64.1 MB
  20. Debugging Bad Outputs.mp4 75.4 MB
  21. Iterative Prompting Workflow.mp4 81.1 MB
  22. Reusable Prompt Templates.mp4 45.3 MB
  23. Prompting for Code Generation.mp4 54.7 MB
  24. Hands-on Prompt Exercises.html 10.9 KB
  4 - Context Engineering (Advanced Skill)
  25. What is Context Engineering.mp4 63 MB
  26. Managing Long Context.mp4 77.5 MB
  27. Using Documentation (.md files).mp4 37.3 MB
  28. Controlling AI Behavior.mp4 69 MB
  29. Memory & State in AI Systems.mp4 39.6 MB
  30. Reducing Hallucinations.mp4 44.9 MB
  31. Context Design Patterns.mp4 69.7 MB
  32. Real-World Context Examples.html 9.8 KB
  5 - Claude Code & AI Tooling
  33. What is Claude Code.mp4 53.2 MB
  34. CLI vs IDE vs Browser Workflows.mp4 26 MB
  35. Setting Up Development Environment.mp4 49.6 MB
  36. Python Setup (uv, pip).mp4 57.4 MB
  37. Node.js & npm Setup.mp4 27.9 MB
  38. Git & GitHub Basics.mp4 63 MB
  39. Working in Terminal with AI.mp4 62.4 MB
  40. Multi-tool Workflows (Claude + Cursor + Codex).mp4 62.6 MB
  41. Instructions to setup IDE and use Terminal.html 17.1 KB
  6 - Build Your First AI App
  42. App Idea & Planning with AI.mp4 36.5 MB
  43. Generating Code with Claude.mp4 65.5 MB
  44. Structuring Files & Components.mp4 29.6 MB
  45. Building Frontend with AI.mp4 32.9 MB
  46. Backend Logic Generation.mp4 24.3 MB
  47. Connecting Frontend & Backend.mp4 23.5 MB
  48. Debugging & Fixing Issues.mp4 23.1 MB
  49. Build a small app.html 16.1 KB
  7 - Deployment & Real-World Setup
  50. Introduction to Deployment.mp4 29.3 MB
  51. GitHub Workflow (push, pull, branches).mp4 43.4 MB
  52. Hosting Your App.mp4 62.9 MB
  53. Environment Variables.mp4 23 MB
  54. Connecting APIs.mp4 39.9 MB
  55. Deploy Your First AI App.html 19 KB
  7. Introduction to Claude.mp4 80.8 MB
  8. Claude vs ChatGPT vs other tools.mp4 80.4 MB
  9. How LLMs Work (Simple Explanation).mp4 73.8 MB
  2. Why AI is Changing Development Forever.mp4 39.9 MB
  3. From Coding → Prompting → Building.mp4 78.7 MB
  4. Overview of AI Tools Landscape.mp4 73 MB
  5. Real Examples of AI-Built Apps.mp4 46.1 MB
  6. Course Roadmap & What You’ll Build.mp4 29.4 MB

Description


Vibe Coding to Claude Code Mastery: Build AI Apps & Agents
https://WebToolTip.com
Published 4/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 7h 31m | Size: 2.54 GB
Master Claude, Prompting, APIs & AI Agents to build, deploy & monetize real-world AI apps from scratch
What you'll learn

Build complete AI-powered applications using Claude, APIs, and modern development tools from scratch

Master Prompt Engineering with frameworks like Role–Task–Format, few-shot prompting, and prompt chaining to generate reliable outputs

Design and develop AI Agents capable of automation, task execution, and multi-step workflows

Connect frontend, backend, and APIs to create real-world, production-ready systems

Understand how Large Language Models (LLMs) work, including tokens, context windows, and output behavior

Deploy applications to production using GitHub workflows, hosting platforms, and environment variables

Debug and monitor live applications using logs, error tracking tools, and best practices

Integrate external services and databases using APIs and Model Context Protocol (MCP)

Turn AI projects into SaaS products, including MVP building, pricing strategies, and scaling

Apply AI security and best practices, including handling prompt injections, protecting data, and building responsibly
Requirements

No prior AI or coding experience required — this course is designed for complete beginners as well as intermediate learners

Basic familiarity with using a computer and internet browsing is enough to get started

A laptop or desktop (Windows, Mac, or Linux) with internet access

Willingness to learn modern tools like Claude, APIs, and AI-assisted development workflows

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