Generative AI: Implications and Opportunities for Business
Delve into generative AI, such a ChatGPT, to learn how to safely and effectively use this technology to benefit your business with this online generative AI course from RMIT University.
Duration
4 weeks
Weekly study
3 hours
Premium course
What's included?
Accreditation
More info
Established
1887
Location
Melbourne, Australia
World ranking
Source: QS World University Rankings 2022
In recent years, generative AI such as ChatGPT has exploded in use and early-stage adoption. This powerful disruptive technology is already being used in businesses to lower costs, deliver new services better and faster, and to create new production capabilities.
On this four-week course, you’ll delve into how generative AI works as you unpack the dynamics and implications of this technology on the economy, society, and work.
You’ll start by exploring a brief history of generative AI to understand how machine learning has evolved to that of a skilled human.
With this knowledge, you’ll then learn the basic anatomy of generative AI and the economic environment in which they live.
Next, you’ll discover the basic business models of generative AI application to understand how it is used in different contexts.
You’ll explore the major industries facing rapid change, unpacking how technologies disrupt, compete, and complement other technologies and people.
On the final week of the course, you’ll delve into the issues, barriers, and opportunities of generative AI adoption and use in business.
You’ll discuss a range of topics including ethical and regulatory risks and the institutional approaches to overcome these issues.
Finally, you’ll learn how companies and people can effectively prepare for generative AI as this technology continues to become more integrated throughout the economy.
Introduction to the course
This section provides a comprehensive understanding of the evolution of AI, the various techniques used in generative AI, and the major players in the AI industry today.
This section gives an overview of different AI models and categories. It gives students the opportunity to experiment with different generative AI tools to learn more about each category and how to assess them for quality.
In this section, we learn about prompt engineering and practice how to optimise prompts to efficiently and effectively use a variety of generative AI tools.
A summary of what we have covered this week.
Welcome to Week 2.
In this section we explore different economic models for thinking about generative AI and business strategy.
In this section we explore how generative AI is transforming the workplace and how business leaders can use AI in their strategy and redesign their business models accordingly.
In this section we look at the skills required to be a prompt engineer, an emerging role for generative AI
A summary of what we have covered this week.
Welcome to Week 3.
What are the implications of generative AI for industry?
This section looks at how generative AI is impacting the creative industry.
This section explores the implications of generative AI in the business sector.
This section explores the impact of generative AI on software development and Web3 technologies.
A summary of what we have covered this week.
This section provides an overview of what material will be covered this week.
This section explores how to use AI effectively and some of the challenges that come with generative AI models.
This section explores some of the legal risks associated with generative AI and provides a range of strategies to mitigate these issues.
This section highlights some of the good, bad, and controversial ideas surrounding generative AI that have been discussed in the course.
Reflecting on what we have learned throughout the course and looking ahead to how you will use generative AI after completing this course.
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