Leveraging AI and Machine Learning at Work
Online - Synchronous, In-Person, or Hybrid
2-12 hours
Non-technical
This non-technical AI course is best for leaders and product managers who want to learn about leveraging AI and Machine Learning in the workplace. The shorter courses (2-4 hours) provide high-level introductions to common terms, deployment life cycles, and ethical considerations when implementing an AI solution. The longer courses (8-12 hours) expand on each topic, empowering learners to align their business strategy with specific AI solutions. These longer courses also explore generative AI tools for day-to-day productivity gains. The goal of the course is to help learners understand the capabilities of modern AI solutions and their potential in the organization.
Key topics covered in this course:
- Data Science
- Responsible AI
- AI/Machine Learning Product Life-cycle
- Generative AI Solutions (8-12 hour courses)
Upon successful completion of the course, learner outcomes include :
- Summarize each step in the AI/ML development process
- Review potential AI solutions for feasibility, risk, and alignment with company goals and recommend changes based on the evaluation
- Identify and discuss the potential risks of AI and possible approaches for mitigation
- Break down a potential AI project to identify requirements at each development stage
- Apply prompt engineering best practices to leverage generative AI
Potential learners:
- Analysts
- Data Ethics Officers
- Operations Managers
- Product Managers
- Project Managers
- Strategic Planners