AI: Realizing Opportunities
This course is aimed at employees, who have an interest in artificial intelligence and machine learning, and managers, who want to supervise data science projects.
- You will get an overview of the topic of artificial intelligence — and discover it's far more than chatbots & agents.
- You will understand which problems can be solved with machine learning and the steps in a typical ML project.
- You will learn how to identify ML use cases with business impact.
- You will better understand the challenges and risks of ML applications.
The course is based on my book A Practitioner's Guide to Machine Learning, which you can refer to for more details.
Prerequisites
- Good command of the English language (all materials are in English)
- Basic understanding of math (at high school level)
- Have fun puzzling and an interest in new technologies
- Complete the Preparation part before the first group session (about 20min; see below)
Agenda
The course takes place remotely via Microsoft Teams, Google Meet, Zoom, Slack, or similar. Please join the calls with your camera turned on so the sessions feel a bit more personal.
Important: Please complete the Preparation part before we meet for the course!
Preparation before the course (~20min)
- Read the first chapter of the book: "Introduction"
- Think about where in your daily life you're already using machine learning (in addition to the provided examples)
Course (9:00-17:00)
Welcome:
- Orga & Introduction round: Where are you using ML?
Lecture:
- What can be done? Discovering opportunities across the ML landscape.
Exercise:
- Industry Spotlights: Recognize ML solutions
Lunch Break (ca. 12:00-13:00)
Lecture:
- What should not be done? Identifying risks before they become failures.
Exercise:
- Describe and assess an ML use case using the ML Project Assessment
Conclusion:
- What should your company do? Strategic positioning for ML success.
- Feedback