ChatGPT and Prompt Engineering With Advanced Data Analysis

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers an in-depth journey into the world of ChatGPT, prompt engineering, and advanced data analysis techniques. You will explore how to leverage AI tools like ChatGPT in business, programming, social media, and machine learning, while gaining hands-on experience in crafting effective prompts, using AI for data analysis, and generating creative outputs. By the end of this course, you’ll be equipped to use AI for a range of practical tasks, boosting your productivity and creativity. Throughout the course, you will start with foundational concepts, learning about OpenAI, its capabilities, and how to set up your account to get started. You will then move into the core concepts of Large Language Models and the technology behind ChatGPT, exploring how these systems are built and how they power conversational AI. After that, you will dive into prompt engineering, discovering how to craft effective prompts for different purposes, from business analysis to machine learning models. Next, you'll explore practical use cases for ChatGPT, from automating tasks like generating blog summaries to creating social media hashtags, and even building machine learning models. You'll also get a chance to work on visual projects using tools like Streamlit and DALL-E. The course rounds out with lessons on integrating AI into your workflows, including Excel data analysis and creating visualizations. This course is ideal for professionals and enthusiasts looking to enhance their skills in AI tools, machine learning, and data analysis. It is suitable for those with basic programming and data analysis knowledge, though no advanced expertise is required. By the end of the course, you will be able to create custom prompts, use AI for business and data analysis, generate content and images, and integrate these technologies into various professional and personal projects.

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