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DeepLearning.AI

Vibe Coding 101 with Replit

  • up to 1 hour
  • Beginner

Learn to build and host applications with an AI agent in Vibe Coding 101 with Replit. This course will teach you the principles of agentic code development and how to effectively use Replit's cloud environment to build and deploy web applications.

  • Agentic code development
  • AI collaboration
  • Application prototyping
  • Debugging
  • Wireframing

Overview

In this course, you'll explore the growing practice of 'vibe coding' where AI coding agents assist in the development process. You'll learn to structure your work, refine prompts, and use frameworks for cleaner, more efficient code. By building two web applications, you'll gain hands-on experience with Replit's tools and improve your development skills.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Aspiring Developers

Individuals looking to enhance their coding skills with AI assistance.

Tech Enthusiasts

People interested in learning about the latest trends in AI and coding.

Professionals

Developers seeking to improve their efficiency and effectiveness in coding.

Unlock the potential of AI-assisted coding with Vibe Coding 101. This course offers a unique opportunity to learn agentic code development, build and deploy applications, and enhance your coding skills. Ideal for beginners and professionals alike, it will help you advance your career in tech.

Pre-Requisites

1 / 3

  • Some coding experience

  • Background in prompting LLMs

  • Free Replit account

What will you learn?

Introduction
Overview of the course and its objectives.
Principles of Agentic Code Development
Learn the foundational principles of working with AI coding agents.
Planning and Building an SEO Analyzer
Develop an SEO analyzer using AI coding agents and Replit tools.
Implementing SEO Analysis Features
Add and refine features for the SEO analyzer application.
Planning and Building a Voting App
Create a voting application with persistent data storage.
Enhancing the National Parks Voting App
Improve the voting app with additional features and data integration.
Next steps and Best Practices
Conclude the course with best practices for ongoing development.

Meet your instructors

  • Michele Catasta

    Instructor, DeepLearning.AI

    Michele Catasta is an instructor at DeepLearning.AI, focusing on LLMs, Agents, and AI for Code. He is the President of Replit and has extensive experience in building, advising, and investing in AI-related companies.

  • Matt Palmer

    Chief Technology Officer, Giskard

    Matt Palmer is a machine learning researcher who currently leads the LLM safety team at Giskard AI. His work focuses on the practical applications and implications of AI, emphasizing the intersection of ethics, safety, and security.

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