Generative AI Approaches to Business Challenges
Generative AI Approaches to Business Challenges
What you’ll learn
Skills you’ll gain
An increasing number of businesses are turning to generative AI to address common challenges. In this course, generative AI product manager Colby Hawker will guide you on harnessing generative AI for real-world business solutions. Understand the different types of generative AI, its functionality, and its applications in content creation, personalizing customer experiences, data analysis, task automation, and knowledge management. The course also covers tools and resources to facilitate its implementation in business settings. Upon completion, you'll be equipped to address a variety of business challenges using generative AI.
Syllabus
Download syllabus-
1
What is generative AI? There are many different types of generative AI models, and each type has its own applications and potential benefits in a business setting. 2m
-
2
Explore AI systems In order to most effectively use generative AI, it's important to have a basic understanding of AI systems such as foundation models and large language models. 3m
-
3
Prompt gen AI models Prompting is the process of providing instructions to a generative AI model in order to get the model to effectively perform the requested tasks. 1m
-
1
Identify common business challenges Although all businesses are unique in their own ways, there are several common business challenges that most organizations encounter. 2m
-
2
Create engaging content Generative AI can be used to create a variety of content, including text, images, and videos. 3m
-
3
Personalize customer experiences Personalized customer experiences can help businesses improve customer engagement and loyalty. 3m
-
4
Analyze unstructured data Analyzing data can be a challenging process, especially when the data is unstructured and does not have easily identifiable trends. 3m
-
5
Automate tasks When tasks are automated, employees are able to focus on other business priorities. 2m
-
6
Share and manage knowledge Generative AI can be used to summarize and retrieve information from large datasets which can be useful for businesses that need to make sense of large amounts of data, such as financial institutions, healthcare organizations, and research institutions. 2m
-
1
Explore generative AI resources Generative AI is evolving at a rapid rate, and it's critical to be able to continuously build your knowledge. 2m
-
2
Choose the right generative AI tools With how many generative AI tools and resources are available, it's important to know how to choose the right generative AI tools for your business needs. 2m
-
3
Practice ethical AI When using generative AI to work through business challenges, it's important to consider any ethical implications of your generative AI usage. 2m
-
1
Get started Thank you for completing this course! 1m
Certificate
Certificate of Completion
Awarded upon successful completion of the course.
Instructor
Colby Hawker
At Google and Stanford, Colby Hawker helps learners build a strong understanding of Generative AI. Colby has been a Generative AI Product Manager at Google for the past eight years. He holds a Bachelor's from BYU's Marriott School of Management and a Master of Engineering from Cornell University.
Colby Hawker
Generative AI Product Manager and Business Instructor
Accreditations
Link to awards
How GoSkills helped Chris
I got the promotion largely because of the skills I could develop, thanks to the GoSkills courses I took. I set aside at least 30 minutes daily to invest in myself and my professional growth. Seeing how much this has helped me become a more efficient employee is a big motivation.
