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ChatGPT and Generative AI

The Big Picture

Amber Israelsen

ChatGPT has taken the world by storm–but what exactly is it, and how can you take advantage of it? In this short introduction, learn the basics of generative AI, how it works, and how to apply ChatGPT to real-world problems.

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ChatGPT has taken the world by storm–but what exactly is it, and how can you take advantage of it? In this short introduction, learn the basics of generative AI, how it works, and how to apply ChatGPT to real-world problems.

ChatGPT and generative AI are all the rage, and have the potential to transform how you work, learn, and interact. But how do you cut through all the hype?

In this course, ChatGPT and Generative AI: The Big Picture, you’ll get a foundational understanding of generative AI and how it works to create human-like responses to questions. First, you’ll explore ChatGPT, seeing several examples of its capabilities. Next, you'll delve into its limitations. Finally, you’ll learn how ChatGPT can be applied to real-world applications, including day-to-day use cases for developers and data practitioners. When you’re finished with this course, you’ll have a practical understanding of ChatGPT and how you can use it to work smarter, not harder.

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What's inside

Syllabus

Course Overview
What Is ChatGPT and Generative AI?
Getting Started with ChatGPT
Applying ChatGPT to the Real World
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Students new to generative AI tools will benefit from its clear definition and examples of ChatGPT applications
Teaches learners what data ChatGPT is able to access and use
Develops an understanding of generative AI and its impact on productivity
Describes several circumstances where ChatGPT can be used for professional development
Provides real-world applications of ChatGPT, making the theory applicable to daily tasks
Taught by Amber Israelsen, who is recognized for her work in the field of data and AI

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Activities

Coming soon We're preparing activities for ChatGPT and Generative AI: The Big Picture. These are activities you can do either before, during, or after a course.

Career center

Learners who complete ChatGPT and Generative AI: The Big Picture will develop knowledge and skills that may be useful to these careers:
Software Engineer
ChatGPT and generative AI are transforming the way software is developed, making this course particularly relevant to Software Engineers looking to stay ahead of the curve. The course provides a comprehensive overview of the field, along with practical applications that Software Engineers can use to improve their workflow and create innovative new products.
Data Scientist
For Data Scientists, ChatGPT and generative AI offer new tools to analyze and interpret data. This course provides a foundation in these technologies, helping Data Scientists to leverage them effectively. By understanding the capabilities and limitations of ChatGPT, Data Scientists can enhance their data analysis, modeling, and prediction capabilities.
Machine Learning Engineer
Machine Learning Engineers are at the forefront of developing and deploying AI-powered systems. This course provides a solid understanding of ChatGPT and generative AI, enabling Machine Learning Engineers to integrate these technologies into their work. By learning about the underlying principles and real-world applications, Machine Learning Engineers can create more sophisticated and effective AI solutions.
Product Manager
Product Managers play a crucial role in bringing new products to market. This course offers Product Managers insights into ChatGPT and generative AI, helping them to identify opportunities to improve product development and customer engagement. By understanding how these technologies can enhance product features and user experiences, Product Managers can drive innovation and deliver successful products.
Business Analyst
Business Analysts are responsible for analyzing business needs and designing solutions. This course provides Business Analysts with a framework for understanding ChatGPT and generative AI, enabling them to leverage these technologies to improve business processes and decision-making. By learning about the potential applications of these technologies, Business Analysts can enhance their analytical skills and contribute to data-driven decision-making.
Content Writer
Content Writers are in high demand to create engaging and informative content. This course offers Content Writers a comprehensive overview of ChatGPT and generative AI, helping them to leverage these technologies to enhance their writing skills and productivity. By understanding the capabilities and limitations of AI-powered writing tools, Content Writers can create higher quality content in less time.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course provides Marketing Managers with a strategic understanding of ChatGPT and generative AI, enabling them to integrate these technologies into their marketing strategies. By learning how to use AI to analyze customer data, create personalized content, and automate marketing tasks, Marketing Managers can improve campaign performance and drive growth.
User Experience Designer
User Experience Designers focus on creating user-centric products and services. This course offers User Experience Designers insights into ChatGPT and generative AI, helping them to leverage these technologies to enhance user experiences. By understanding how AI can be used to analyze user behavior, create personalized interfaces, and test design concepts, User Experience Designers can create more intuitive and engaging products.
Technical Writer
Technical Writers are responsible for creating clear and concise technical documentation. This course provides Technical Writers with a practical understanding of ChatGPT and generative AI, enabling them to leverage these technologies to improve their writing process and create higher quality documentation. By learning how to use AI to generate code examples, create interactive tutorials, and automate documentation tasks, Technical Writers can increase their productivity and ensure that their documentation is accurate and up-to-date.
Project Manager
Project Managers are responsible for planning, executing, and delivering projects. This course provides Project Managers with a framework for understanding ChatGPT and generative AI, enabling them to leverage these technologies to improve project planning, communication, and risk management. By learning how to use AI to analyze project data, create automated workflows, and identify potential roadblocks, Project Managers can enhance their project management skills and deliver successful outcomes.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data. This course provides Data Analysts with a foundation in ChatGPT and generative AI, enabling them to leverage these technologies to improve their data analysis and modeling skills. By learning how to use AI to automate data cleaning tasks, generate insights from data, and create predictive models, Data Analysts can enhance their analytical capabilities and contribute to data-driven decision-making.
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. This course provides Software Developers with a practical understanding of ChatGPT and generative AI, enabling them to leverage these technologies to improve their development process and create more robust and innovative software. By learning how to use AI to generate code snippets, automate testing, and identify potential vulnerabilities, Software Developers can enhance their coding skills and deliver higher quality software.
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and evaluating software applications. This course provides Quality Assurance Analysts with a framework for understanding ChatGPT and generative AI, enabling them to leverage these technologies to improve their testing process and ensure software quality. By learning how to use AI to generate test cases, automate testing tasks, and identify potential defects, Quality Assurance Analysts can enhance their testing skills and contribute to the delivery of high-quality software.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information assets. This course provides Information Security Analysts with a framework for understanding ChatGPT and generative AI, enabling them to leverage these technologies to improve their security posture and detect and respond to cyber threats. By learning how to use AI to analyze security logs, identify vulnerabilities, and automate security tasks, Information Security Analysts can enhance their security skills and protect their organization from cyberattacks.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. This course provides Data Engineers with a practical understanding of ChatGPT and generative AI, enabling them to leverage these technologies to improve their data engineering processes and create more efficient and reliable data pipelines. By learning how to use AI to automate data extraction, transformation, and loading tasks, Data Engineers can enhance their engineering skills and contribute to the delivery of high-quality data for data analysis and decision-making.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in ChatGPT and Generative AI: The Big Picture.
Provides an overview of the history and development of generative AI. It discusses the potential applications of generative AI in various industries, and explores the ethical and societal implications of this technology.
Provides a comprehensive overview of deep learning. It covers the essential concepts and algorithms, and discusses the challenges and future directions of research in this field.
Provides a comprehensive overview of generative adversarial networks. It covers the essential concepts and algorithms, and discusses the challenges and future directions of research in this field.
Provides a comprehensive overview of speech and language processing. It covers the essential concepts and algorithms, and discusses the challenges and future directions of research in this field.
Provides a comprehensive overview of diffusion models. It covers the essential concepts and algorithms, and discusses the challenges and future directions of research in this field.
Provides a comprehensive overview of computer vision. It covers the essential concepts and algorithms, and discusses the challenges and future directions of research in this field.

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