Udemy

AI in Coding & Data Science: Master ChatGPT, GitHub Copilot

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  • 9,066 Students
  • Updated 9/2023
4.2
(66 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 32 Minute(s)
Language
English
Taught by
Pragati Kunwer
Rating
4.2
(66 Ratings)
2 views

Course Overview

AI in Coding & Data Science: Master ChatGPT, GitHub Copilot

AI-Powered Coding & Data Science: Learn Generative AI with ChatGPT, CodeInterpreter, GitHub Copilot

Welcome to 'AI in Coding & Data Science: Master ChatGPT, GitHub Copilot', a comprehensive course designed to revolutionize your coding and data science journey. This course is meticulously crafted to help you harness the power of AI in coding and data science, thereby boosting your productivity and making you future-ready.

With Udemy's 30-day money-back guarantee, you have nothing to lose. So why wait? Start learning today and supercharge your coding efficiency with AI

In this course, you will learn how to leverage AI tools like ChatGPT, GitHub Copilot, and Noteable to enhance your coding efficiency and data science capabilities. These tools are designed to assist you in code generation, debugging, testing, data analysis, visualization, and machine learning. They can significantly speed up your development process and make it easier to get started with new technologies.

The course is structured into several modules, each focusing on a different aspect of AI-assisted coding and data science. You will learn how to set up and use these AI tools, understand their features and benefits, and see them in action through hands-on exercises and real-world examples. The course also includes sections on how to use these tools for job search and interview preparation, making it a comprehensive guide for anyone looking to boost their career in development or data science.

One of the highlights of this course is the section on ChatGPT Plugins for Data Analytics, Visualizations, and Machine Learning. Here, you will get hands-on experience with the CodeInterpreter plugin, which allows you to generate Python code, perform data analysis, and even build machine learning models using natural language commands. You will work on several real-world datasets, including the Titanic, Iris, and MNIST datasets, and build predictive models to solve complex problems.

By the end of this course, you will:

  • Understand the role of AI in coding and data science and how it can enhance your productivity.

  • Be proficient in using AI tools like ChatGPT, GitHub Copilot, and Noteable.

  • Know how to leverage these tools for efficient coding, rapid learning, and advanced data analysis.

  • Be able to apply these tools in real-world scenarios, improving your problem-solving skills.

  • Understand how to use AI tools for job search and interview preparation.

This course is suitable for both beginners and experienced developers or data scientists. Whether you're just starting your coding journey, venturing into data science, or looking to enhance your existing skills, this course will provide you with the knowledge and skills you need to succeed in the rapidly evolving tech world.

Enroll today and start your journey towards mastering AI-assisted coding and data science. With Udemy's 30-day money-back guarantee, you have nothing to lose. So why wait? Start learning today and supercharge your coding and data science efficiency with AI.

Course Content

  • 10 section(s)
  • 42 lecture(s)
  • Section 1 Introduction
  • Section 2 ChatGPT Fundamentals
  • Section 3 **Utilizing OpenAI API: Enhance Your Coding with ChatGPT** <Very Important>
  • Section 4 Installing and Integrating the ChatGPT Plugin into PyCharm IDE
  • Section 5 Hands-On Workshop: Building Python & Django Web Apps with ChatGPT Assistance
  • Section 6 Exploring AI Tools for Coding
  • Section 7 ChatGPT Plugins for Data Analytics, Visualizations and Machine Learning
  • Section 8 AI-Powered Data Analytics and Machine Learning with ChatGPT CodeInterpreter
  • Section 9 Code Generation for Popular Languages and Frameworks
  • Section 10 AI-Powered Code Generation Basics

What You’ll Learn

  • Understand the concept of AI-assisted coding and how it can enhance developer productivity and code efficiency.
  • How to set up a development environment and interact with the OpenAI API for generating code snippets.
  • Learn how to effectively use AI tools like ChatGPT and GitHub Copilot for code generation, debugging, and testing.
  • Gain insights into the future of coding and how AI is transforming the software development process.
  • How to integrate ChatGPT into their development workflow using IDE integrations, command-line tools, and automation.
  • Understand how AI can assist in creating more robust and efficient code, reducing the time spent on debugging and testing.
  • Real-world examples and case studies showcasing the advantages and challenges of AI-powered code generation.
  • Best practices for using ChatGPT as a collaborative coding tool and maximizing productivity.
  • Acquire the skills to innovate and create AI-powered applications that stand out in the competitive tech landscape, opening up new opportunities for career grow

Reviews

  • P
    Paul Urbinati
    4.0

    Learn how to code, both in LISP and LUA languages, as I am willing to implement new tools/features into BricsCAD and PYTHA. As an exhibition designer, I go through many repetitive processes, where I would like to minimize, these and instead, focus more, on the actual creativity of my job.

  • J
    Junaid
    4.0

    awesome course,simple and short

  • R
    Rishav Singh
    5.0

    It was nice, Easy understanding

  • C
    Conrad de Wet
    4.0

    Good introduction on the theory and principles behind the IA course.

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