Vibe Coding with ChatGPT and Python - Make Apps In Minutes from Udemy

Not a Coder? With A.I., Just Having an Idea Can Be Enough. - New York Times, Feb 2025
Silicon Valley's next act: bringing 'vibe coding' to the world - Business Insider, Feb 2025
Vibe Coding Is The Future - Y Combinator Lightcone Podcast, Mar 2025

Vibe coding is taking the tech world by storm, and YOU can join.

This course is intended for:

Non-techies who want to acquire a dangerous skill quickly.
Coders who want to refresh their skills with some cutting edge ideas
Entrepreneurs/Freelancers who want to learn how to prototype without depending on a SaaS

THE GAME-CHANGER SKILL THAT GIVES YOU A

This isn’t just a course. It’s a career & life upgrade.

Want to 10x your productivity at work?
Want to automate tasks so you can focus on what matters?
Want to turn ideas into apps instantly, even if you don’t know how to code?

WHAT YOU WILL LEARN IN THIS COURSE

A new way to build apps and automate tasks – no coding required
Unlock a superpower: create AI-driven tools for work, business, and life
Be the “AI Person” at your job – 10x your productivity instantly
Master automation, APIs, web scraping, video/audio tools, and more in minutes
Transform ideas into working software – effortlessly

With Vibe Coding, you will use ChatGPT and Python like a personal software engineer – a tool that builds apps for you, while you focus on the big ideas.

No complex coding.
No technical jargon.
Just results.

By the end of this course, you’ll be able to:

Build functional personal apps instantly
Automate emails and data scraping
Use Libraries and APIs to integrate with Google Sheets, YouTube, OpenAI, and more
Generate speech, clone voices, analyze text, and use AI-powered tools
And much more.

AI is changing the world. You can either watch or get ahead.

Enroll now and become “AI Dangerous” today.

What's inside

Learning objectives

Use ai prompts to create apps without learning to code
Create personal apps to be more efficient with work and more
Think like a product manager, while llms do the coding work

Unlock the power of python libraries and apis for automation
Automate emails, text, spreadsheets, transcriptions, web crawling, browsing, voice cloning, and much, much more

Use ai prompts to create apps without learning to code
Create personal apps to be more efficient with work and more
Think like a product manager, while llms do the coding work
Unlock the power of python libraries and apis for automation
Automate emails, text, spreadsheets, transcriptions, web crawling, browsing, voice cloning, and much, much more

Syllabus

Introduction

Welcome to the Vibe Coding Course!

Introduction to Vibe Coding

Effective Prompting

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on prototyping without relying on SaaS, which is beneficial for entrepreneurs and freelancers looking to quickly validate ideas and build MVPs

Emphasizes a 'no-code' approach using AI, which lowers the barrier to entry for non-technical users to create applications and automate tasks

Teaches automation of tasks like email, web scraping, and data analysis, which can significantly improve productivity for professionals across various fields

Uses Python libraries and APIs to integrate with services like Google Sheets, YouTube, and OpenAI, which may require some basic coding knowledge to fully utilize

Explores AI-driven tools for various applications, including speech generation, voice cloning, and text analysis, which may be of interest to learners curious about AI's capabilities

Relies heavily on ChatGPT for code generation, which may limit the learner's understanding of fundamental coding principles and problem-solving skills

Reviews summary

Prompt-driven app development with ai

According to learners, this course introduces an exciting concept in prompt-driven app development using ChatGPT and Python. Many appreciated the practical project ideas and the promise to make apps in minutes and automate tasks effortlessly, feeling it provided a glimpse into the future. However, a significant number of students noted that it is not truly 'no coding required' as advertised, often necessitating debugging AI output and prior coding knowledge to fix issues. The claim of building apps 'in minutes' was often found to be misleading, with setup and troubleshooting taking considerably longer. The course projects are seen as interesting and practical, but learners should be prepared for potential challenges in getting them to work smoothly.

Projects are interesting but may require fixing.

"The project ideas are cool, but getting them to work took effort."

"Some projects didn't run out of the box and needed troubleshooting."

"Enjoyed the variety of things we built, like web scraping."

"The examples show potential, but be ready to tinker."

Promises a new way to build with AI.

"The idea of vibe coding is fascinating and feels futuristic."

"Got a good sense of what's possible combining AI and Python."

"This course gave me a taste of rapid prototyping with AI."

Content may need frequent updates.

"AI models and APIs change fast, making some parts potentially outdated."

"Needed to look up newer versions of libraries discussed."

"Keeping up with the AI landscape is a challenge for any course."

Building functional apps takes more than minutes.

"The 'in minutes' title is misleading; real development takes much longer."

"While generating code is fast, debugging and integrating isn't."

"Setting everything up and troubleshooting took most of the time."

"Expect hours, not minutes, for even simple working examples."

Requires significant coding/debugging skills.

"It's not really 'no code' as advertised; you still need to debug."

"Found myself spending a lot of time fixing the AI's mistakes."

"Beginners might struggle without prior Python experience."

"You absolutely need to understand basic coding to make things work."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Vibe Coding with ChatGPT and Python - Make Apps In Minutes with these activities:

Review Python Fundamentals

Show steps

Strengthen your understanding of Python fundamentals to better grasp the code generated by ChatGPT.

Browse courses on Python Basics

Show steps

Review basic Python syntax and data types.
Practice writing simple Python functions.
Work through online Python tutorials.

Review 'Python Crash Course'

Show steps

Reinforce your Python foundation with a comprehensive guide to the language.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

Show steps

Work through the book's exercises and examples.
Focus on chapters covering data structures and functions.

Review 'Automate the Boring Stuff with Python'

Show steps

Gain a deeper understanding of Python automation techniques to better leverage ChatGPT's code generation capabilities.

View Automate the Boring Stuff with Python, 2nd... on Amazon

Show steps

Read relevant chapters on web scraping and API interaction.
Experiment with the code examples provided in the book.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Document Your Vibe Coding Projects

Show steps

Solidify your understanding by creating documentation for the projects you build using ChatGPT and Python.

Show steps

Choose a project you've completed in the course.
Write a detailed explanation of the project's functionality.
Include code snippets and examples in your documentation.
Share your documentation on a blog or online forum.

Automate a Personal Task

Show steps

Apply the skills learned in the course by automating a task you frequently perform, such as sending emails or scraping data.

Show steps

Identify a repetitive task you want to automate.
Use ChatGPT to generate Python code for the task.
Test and refine the code until it works correctly.
Deploy the automated task and monitor its performance.

Explore Advanced Python Libraries

Show steps

Expand your knowledge by exploring tutorials on advanced Python libraries relevant to AI and automation.

Show steps

Identify Python libraries used in the course.
Find tutorials on libraries like OpenAI API and ElevenLabs API.
Follow the tutorials and experiment with the code examples.

Contribute to a Python Project

Show steps

Deepen your understanding by contributing to an open-source Python project related to AI or automation.

Show steps

Find an open-source project on GitHub.
Identify a bug or feature you can contribute to.
Submit a pull request with your changes.

Career center

Learners who complete Vibe Coding with ChatGPT and Python - Make Apps In Minutes will develop knowledge and skills that may be useful to these careers:

Citizen Developer

Citizen Developers are business users who create applications and automate tasks without formal coding training. This course helps to learn how to build functional personal apps instantly and automate emails and data scraping. The course emphasizes a no-code approach, making it accessible to individuals without a technical background. This course is especially relevant because it empowers business users to create their own applications and solve problems independently. The sections on automation in particular will be useful for a Citizen Developer.

See salaries and explore the career path for Citizen Developer

AI Prompt Engineer

AI Prompt Engineers specialize in crafting effective prompts for AI models to generate desired outputs. This course will be useful to learn effective prompting techniques, which are essential for guiding AI to produce high-quality results. The course emphasizes using AI prompts to create apps without coding, which is a core skill for AI Prompt Engineers. The course is particularly relevant because it provides hands-on experience in prompt engineering for various applications, including text generation, automation, and API integration. This is a growing field, so this course may give you a leg up.

See salaries and explore the career path for AI Prompt Engineer

Product Manager

A Product Manager guides the development and launch of new products or features. This course helps build a foundation for rapidly prototyping and testing product ideas using AI. The course emphasizes thinking like a product manager while AI handles the coding, which is a valuable skill for quickly iterating on product concepts. The sections on building personal apps instantly, automating emails, and using APIs would be directly applicable to the challenges a Product Manager faces. This is especially useful in the current climate where product development must be agile.

See salaries and explore the career path for Product Manager

AI Strategist

An AI Strategist develops and implements AI strategies for organizations to improve efficiency, innovation, or decision-making. This course helps build a foundation for understanding the capabilities and applications of AI tools and technologies. The ability to quickly prototype AI-driven solutions and integrate them with existing systems is valuable for an AI Strategist. The sections focused on using APIs and automating tasks will be particularly useful in understanding the range of possibilities for a modern AI Strategist.

See salaries and explore the career path for AI Strategist

Digital Marketing Specialist

Digital Marketing Specialists develop and implement online marketing campaigns to promote products or services. This course helps build a foundation to automate various marketing tasks, such as email campaigns and data analysis, using Python and AI tools. The ability to scrape web data, analyze text for sentiment, and create personalized content can greatly enhance the effectiveness of marketing efforts. This course will be helpful for staying ahead of the curve in the fast-paced world of digital marketing. The email automation and text analysis tools may be particularly useful.

See salaries and explore the career path for Digital Marketing Specialist

Automation Specialist

An Automation Specialist identifies and implements opportunities to streamline workflows and processes. This course helps build a foundation for automating tasks using Python and AI tools, directly applicable to the responsibilities of an Automation Specialist. You can learn to automate emails, data scraping, and integrate various services using APIs, reducing manual effort and improving efficiency. This course may be useful for current specialists hoping to learn new AI skills. The material on web scraping and API integration as well as automation of emails, texts, and transcriptions may be especially relevant.

See salaries and explore the career path for Automation Specialist

Software Prototyper

A Software Prototyper creates preliminary models of software applications to demonstrate functionality and gather feedback. This course may be useful by teaching how to rapidly prototype applications using AI-driven tools like ChatGPT and Python, drastically cutting down development time. The course emphasizes transforming ideas into working software effortlessly, which is a core skill for a Software Prototyper. The course’s coverage of building personal apps instantly, using libraries, and integrating APIs will be particularly valuable, as will the project of making a simple website and a slightly more complex website.

See salaries and explore the career path for Software Prototyper

AI Integration Engineer

AI Integration Engineers are responsible for incorporating AI technologies into existing systems and workflows. Knowledge of Python and AI tools is essential, and this course may be useful by providing practical experience in using ChatGPT to build applications and automate tasks. The course's focus on integrating with APIs like Google Sheets, YouTube, and OpenAI will equip you to seamlessly connect AI models with different platforms. This course is relevant to AI Integration Engineers because it focuses on practical application and results, rather than complex coding theory.

See salaries and explore the career path for AI Integration Engineer

Business Intelligence Analyst

Business Intelligence Analysts interpret data to identify trends and insights that inform business decisions. This course helps build a foundation for extracting and analyzing data using Python and AI. Learning how to automate data scraping, analyze text using AI-powered tools, and integrate with Google Sheets through APIs can greatly enhance a Business Intelligence Analyst’s ability to gather and process information. The modules on web scraping, browsing automation, and using the OpenAI API may be particularly useful.

See salaries and explore the career path for Business Intelligence Analyst

Solutions Architect

A Solutions Architect designs and oversees the implementation of technology solutions to address business problems. This course may be useful by helping to explore how AI and automation can be leveraged to create efficient and innovative solutions. The ability to quickly prototype applications and integrate them with existing systems is valuable for a Solutions Architect. This course is especially relevant for staying ahead of the curve in a rapidly evolving tech landscape. The final assembly module may be particularly useful.

See salaries and explore the career path for Solutions Architect

Data Analyst

Data Analysts examine and interpret data to identify trends, patterns, and insights. This course may be useful by providing skills in automating data extraction, cleaning, and analysis using Python and AI. The focus on web scraping, API integration, and using AI-powered tools aligns directly with the responsibilities of a Data Analyst. The sections that focus on automating emails and data scraping may be most applicable to your career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Technical Consultant

Technical Consultants advise clients on how to use technology to meet their business needs. This course may be useful by providing practical knowledge in AI and automation, enabling you to recommend and implement innovative solutions. The ability to quickly prototype applications and integrate them with different platforms will impress clients and demonstrate your expertise. The modules on common problems and coding best practices can be particularly useful as you advise your clients.

See salaries and explore the career path for Technical Consultant

Application Developer

Application Developers design, develop, and test software applications. This course may be useful by introducing a new approach to application development using AI tools like ChatGPT and Python. By learning to leverage AI for coding, developers can significantly increase their productivity and focus on higher-level design and functionality. The course's content on web scraping, API integration, and automation will be particularly valuable for building modern, data-driven applications.

See salaries and explore the career path for Application Developer

Content Creator

Content Creators produce engaging content for various platforms, such as blogs, social media, and websites. This course may be useful by teaching you how to use AI to automate content creation tasks, such as generating text, creating videos, and cloning voices. The ability to quickly produce high-quality content can significantly increase your reach and engagement. In this course, you will learn to use libraries and APIs to integrate with platforms such as YouTube and OpenAI, which Content Creators frequently use.

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Technology Journalist

Technology Journalists research and write about new technologies, trends, and innovations. This course helps build a foundation for understanding and explaining the impact of AI and automation technologies. By learning how to use AI tools like ChatGPT and Python, you can gain firsthand experience with these technologies and provide insightful commentary. The course's focus on 'vibe coding' and its potential to transform the tech world is a particularly relevant topic for a Technology Journalist.

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Vibe Coding with ChatGPT and Python - Make Apps In Minutes

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Prompt-driven app development with ai

Activities

Career center

Reading list

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