CF

The Vibe Coding Bootcamp: Become an AI-Augmented Developer

17h 52m 25s
English
Paid

Transform into an AI-Augmented Developer with our comprehensive course designed to enhance your skills using cutting-edge AI tools like Cursor, GitHub Copilot, Claude, Gemini, ChatGPT, and various open-source solutions. Develop real-world projects, build an impressive portfolio, and prepare yourself for a thriving career in technology, whether you're a beginner or an experienced developer aiming to upgrade your skills.

Course Overview

Our course is meticulously crafted to mold you into a professional developer operating on the AI-first principle. You will gain hands-on experience with advanced models and editors, mastering techniques such as AI Agent Mode for tackling complex challenges and the Model Context Protocol (MCP) for integrating AI with real-world data. Rather than just focusing on code generation, the course aims to cultivate a mindset and workflow where AI acts as your efficient partner.

The Vibe Coding Approach

The "vibe coding" methodology introduces a professional perspective: instead of traditional line-by-line coding, you assume the role of a creative director, defining architecture, overseeing solutions, and directing AI towards clean, maintainable outputs. This approach empowers experienced developers to produce high-quality applications swiftly, reduce errors, effectively manage complexity, and emphasize the conceptual aspects of development.

Course Modules

  1. Developing a Professional Mindset and Workflow
  2. AI Model Capabilities Analysis - Analyze and compare the capabilities of leading AI models.
  3. Developer Environment Setup - Set up a comprehensive development environment.
  4. Initial Lab Work - Engage in practical lab work and mini-projects to reinforce learning.
  5. In-Editor Tools Mastery - Gain deep expertise in tools such as Copilot, Cursor, and Zed.
  6. Advanced Projects Portfolio - Work on advanced projects ranging from games to full-stack applications.
  7. Working with Real Data - Utilize MCP and handle real data scenarios effectively.
  8. Open-Source AI Models - Explore and work with local open-source AI models.
  9. Professional Portfolio Creation - Craft a professional personal portfolio.
  10. Employment Preparation - Learn to position your skills effectively in the market.

Course Outcomes

By the end of this course, you will have developed a diverse range of projects, assembled a polished professional portfolio, and acquired skills that allow you to work more efficiently and confidently as you embark on your career as an AI-Augmented Developer.

Additional

Materials

  • https://sweet-tellurium-e16.notion.site/Vibe-Coding-Handbook-2a7b2273e75280a786b1d40e74d4a333

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: The Vibe Coding Bootcamp: Become an AI-Augmented Developer
All Course Lessons (114)
#Lesson TitleDurationAccess
1
The Vibe Coding Bootcamp: Become an AI-Augmented Developer Demo
02:17
2
Introduction
08:46
3
Story of Vibe Coding
14:37
4
Web Design History
06:13
5
AI Quirks
11:43
6
AI Quirks Demo
09:34
7
Professional's Toolkit
10:15
8
Director's Process
08:37
9
ChatGPT
09:11
10
Gemini
07:41
11
Claude
08:25
12
Pong Game
10:27
13
Vibe Project Management
08:45
14
Art of Prompting
11:18
15
Prompt Demo
06:05
16
Version Control
08:03
17
Context
08:15
18
Context Demo
05:17
19
Test & Refine
08:39
20
UI-UX Prank Project
11:43
21
Technical Director
07:27
22
Co-Pilot
06:08
23
LMArena
09:59
24
ChatGPT Plus
15:52
25
Gemini Pro
10:57
26
Claude Pro
08:56
27
Defining Gauntlet
06:41
28
AI Scorecard
07:26
29
ChatGPT Gauntlet
08:01
30
Gemini Gauntlet
05:43
31
Claude Gauntlet
06:38
32
Gauntlet Evaluation
09:57
33
Understanding Web Development
16:19
34
Creating a Development Environment
10:57
35
Mac / Linux: Homebrew, Git & Visual Studio Code Installation
05:35
36
Windows: Git & Visual Studio Code Installation
06:58
37
Visual Studio Code Overview
11:04
38
Terminal & Node.js Setup
16:07
39
GitHub Workflow – Method 1
10:37
40
GitHub Workflow – Method 2
09:37
41
Visual Studio Code – Agent Mode
08:05
42
Projects Overview
09:38
43
Reaction Game – Prompt Creation
11:25
44
Reaction Game – Part 2
12:56
45
Reaction Game – Part 3
11:29
46
Reaction Game – Part 4
12:52
47
Reaction Game – Part 5
10:25
48
Reaction Game – Review
03:25
49
Compliment & Joke Generator – Prompt Creation
08:27
50
Compliment & Joke Generator – Part 2
11:46
51
Compliment & Joke Generator – Part 3
13:19
52
Compliment & Joke Generator – Part 4
08:15
53
Compliment & Joke Generator – Review
03:41
54
Palette Font Kit – Prompt Creation
11:02
55
Palette Font Kit – Part 2
08:20
56
Palette Font Kit – Part 3
12:35
57
Palette Font Kit – Part 4
15:54
58
Palette Font Kit – Review
06:28
59
AI Types
06:31
60
Copilot – Part 1
11:15
61
Copilot – Part 2
14:05
62
Cursor
13:09
63
Zed
09:35
64
Copilot Gauntlet
07:32
65
Cursor Gauntlet
08:22
66
Zed Gauntlet
05:29
67
Evaluation
11:48
68
Exercise: Imposter Syndrome
02:57
69
Scoundrel Game – Overview, Leonardo AI Image Generation
08:50
70
Scoundrel Game – Initial Draft
08:21
71
Scoundrel Game – Adding Images, Modifying UI
07:56
72
Scoundrel Game – Tweaking Logic
11:15
73
Scoundrel Game – Fixing Mobile View, Deploying
07:18
74
Scoundrel Game – Review
04:10
75
Full Stack Overview (Proxy API)
05:35
76
News Reader – Overview, News API
12:34
77
News Reader – Initial Draft
08:45
78
News Reader – Tweaking Logic
09:42
79
News Reader – Updating Search, Running Into Limits
09:46
80
News Reader – Modifying UI
06:15
81
News Reader – Modified UI, Commit, Deploy
15:50
82
News Reader – Review
04:21
83
Podcast Player – Overview, Project Setup
11:58
84
Podcast Player – Revise Project
12:13
85
Recipes – Overview, MealDB API, PWA
09:46
86
Recipes – Initial Draft
06:11
87
Recipes – Refining Logic (Favorites, Search)
10:16
88
Recipes – Reviewing Changes, Favicon, Offline Functionality
11:37
89
Recipes – Deployment
09:43
90
Recipes – Review
03:12
91
MCP Fundamentals
09:59
92
Vercel CLI – MCP
10:55
93
GitHub MCP
12:44
94
Scoundrel PWA – Build Project
09:52
95
Scoundrel PWA – Offline Functionality
13:49
96
Spotify Clone – Initial Draft
11:12
97
Spotify Clone – Review, Deploy
11:56
98
Introduction to Open-Source
09:56
99
Explaining Model Differences
06:18
100
Hugging Face & Ollama – Local AI Setup
11:52
101
Visual Studio Code Setup & Testing
06:21
102
Portfolio Overview
08:46
103
Portfolio Inspiration
12:35
104
Portfolio Setup
15:33
105
Hero Section
12:18
106
About Section
09:59
107
Capturing Projects
12:49
108
Projects Section
09:39
109
Contact Section
07:36
110
Portfolio Final UI
04:58
111
Portfolio Review & Deploy
11:00
112
The Vibe Coder's Career
10:56
113
Favicon Creation
06:55
114
Thank You!
01:18
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Frequently asked questions

What are the prerequisites for enrolling in this course?
The course is designed to cater to both beginners and experienced developers. While no specific prerequisites are mentioned, a basic understanding of web development principles and familiarity with tools like Visual Studio Code and Git might be beneficial. The course includes foundational lessons such as setting up a development environment and using GitHub workflows, which help ease newcomers into the technical aspects.
What types of projects will I work on during the course?
Throughout the course, you will engage in several real-world projects designed to build your portfolio. Notable projects include developing a Pong game, creating a Reaction Game, and building a Compliment & Joke Generator. Each project involves multiple parts focusing on prompt creation, implementation, and refining, allowing you to apply AI-augmented development techniques.
Who is the target audience for this course?
This course is ideal for both novice developers looking to enter the tech industry and experienced developers aiming to enhance their skills with AI tools. The curriculum is tailored to instill a professional mindset and workflow, making it suitable for anyone interested in integrating AI into their development process.
What platforms or tools does the course specifically cover?
The course covers a range of cutting-edge AI tools such as ChatGPT, Claude, and Gemini. It also delves into using GitHub Copilot and various open-source solutions. You'll learn about AI Agent Mode and the Model Context Protocol to effectively integrate AI into your projects, enhancing your development capabilities.
What is not covered in this course that I might find in others?
This course does not focus on traditional, line-by-line coding practices. Instead, it emphasizes the 'vibe coding' methodology, where developers act as creative directors. While it provides groundwork in setting up development environments, it doesn't cover in-depth language-specific syntax or paradigms typically found in comprehensive programming courses.
How long should I expect to spend on this course?
The course consists of 114 lessons, each designed to progressively build your skills. While the exact runtime is not specified, students should anticipate dedicating several weeks to thoroughly engage with the materials and complete the hands-on projects. The self-paced nature allows flexibility, but consistent effort is advised for best results.
How does this course prepare me for future career opportunities?
By mastering AI tools and developing a professional mindset, you will be well-prepared for roles that require integrating AI into software development. The skills and projects from the course add significant value to your portfolio, showcasing your ability to direct AI in creating robust, maintainable applications, a sought-after capability in the tech industry.