Overview
With the rapid expansion of artificial intelligence (AI) and generative AI applications across every aspect of work and life, demand for professionals with the skills to develop AI-based tools and solutions has exploded.
In this certificate program, you will explore the components and technologies on which AI is built. Throughout the courses, you will leverage practical tools and projects to gain technical skills in key areas such as machine learning and natural language processing, as well as establish strategies for the business implications of AI in today’s marketplace and the future of work. You’ll have the opportunity to gain hands-on experience with prompt engineering using state-of-the-art generative AI models and establish a foundation in the ethical and legal implications of AI for products and work you create. Using real-world datasets, you will apply supervised learning to solve data science questions, improve machine learning models, and create neural networks for specific business cases. Finally, you will choose your own exploration of AI-driven practices with elective courses to take a deep dive into natural language processing or digital transformation. By the end of the program, you will have achieved broad expertise in AI and generative AI application development, giving you the tools needed to lead in today’s age of AI.
This program also uses Python and the NumPy library for code exercises and projects. To be successful in this program, students should have a working knowledge of Python programming, and college-level knowledge of calculus, linear algebra, and statistics. If you do not have this experience, start with the Data Science Essentials or Python Programming certificate program.
The courses in this certificate program are required to be completed in the order that they appear.
This program includes a year of free access to Symposium! These events feature several days of live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore the marketing industry’s most pressing topics. Symposium events are held several times throughout the year. Once enrolled in your program, you will receive information about upcoming events.
Throughout the year, you may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete the certificate program.
How It Works
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Key Course Takeaways
- Innovate with generative AI models — image and text — for business needs
- Engineer AI prompts effectively
- Navigate the ethical implications and compliance requirements of AI
- Categorize data using supervised learning algorithms
- Use neural networks to make predictions about new data
- Select and implement a well-suited machine learning setup from start to finish
- Extend the applicability of linear classifiers to learn non-linear decision boundaries from more complex datasets
- Apply supervised machine learning classification models in order to assign categories to text
- Apply unsupervised machine learning models to relate similar groups of documents and apply different metrics to determine text similarity
- Foster a business-minded understanding of applicable AI and digital technologies
- Understand how AI and digital technologies will define the future of work
Download a Brochure
Not ready to enroll but want to learn more? Download the certificate brochure to review program details.
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