Name: Exploring Good Old-Fashioned AI (GOFAI)
Availability: InStock

Course Overview

Artificial intelligence (AI) has advanced to simulate human intelligence, enabling computers to perform tasks such as understanding natural language, learning from experience, problem solving, and making decisions. This course introduces you to both traditional and modern AI approaches, starting with Good Old-Fashioned AI (GOFAI), which relies on symbolic logic. You'll discover how to teach computers to make predictions and decisions using machine learning techniques, focusing on practical applications that solve real-world problems and creating business value.

Through hands-on exercises, you will design and refine machine learning models, including logistic regression and decision trees. You'll develop the skills to build AI systems that can predict outcomes and improve over time. By the end of this course, you will be able to create AI solutions that effectively leverage data to meet specific business objectives.

You are required to have completed the following course or have equivalent experience before taking this course:

Creating Business Value With AI

Key Course Takeaways

Design a rule-based symbolic AI system
Develop a business objective for a supervised classifier
Build a supervised classifier with regression
Build a supervised classifier with decision trees
Refine a supervised classifier to improve its performance

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How It Works

Course Length

3 weeks

Effort

5 to 6 hours of study per week

Format

100% online, instructor-led

Course Author

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Lutz Finger

Visiting Senior Lecturer

Cornell SC Johnson College of Business

Senior Visiting Lecturer, Johnson Graduate School of Management, Cornell SC Johnson College of Business

Lutz Finger is an esteemed technologist with a diverse background in building innovative technology platforms for companies including Google, LinkedIn, and Snap Inc.. He is the founder of R2Decide, a platform for generative AI tools.

Finger is a regular contributor to Forbes, where he writes about AI and deep learning. His book Ask, Measure, Learn was published in 2014 and serves as a non-technical guide on how to extract significant business value from big data. Finger serves as an advisor, venture partner, and angel investor at several data-centric corporations in Europe and the United States. He has an MBA from INSEAD and an M.S. in quantum physics from TU Berlin.

Finger, who resides in the San Francisco Bay area, aims to bring over 20 years of diversified experience in data science and product management to his students at Cornell.

Who Should Enroll

Professionals seeking fundamental AI skill development
Product managers and leaders
Early-career AI specialists
Data scientists
Tech enthusiasts
Entrepreneurs
Venture capitalists
C-suite leaders
Innovators and design thinkers
Anyone interested in applying AI and automation in their industry

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