Welcome to 'AI in Coding & Data Science: Master ChatGPT, Git Hub 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, Git Hub 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 Code Interpreter 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
Push the boundaries of generative AI. Explore diffusion models, fine-tune foundation models, build RAG systems, and implement production-ready generative applications.
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