In this course, you will explore real-world artificial intelligence (AI), machine learning (ML) and generative artificial intelligence (generative AI) use cases across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics.
- Course level: Fundamental
- Duration: 1 hour
Activities
This course includes interactive elements, videos, text instruction, and illustrative graphics.
Course objectives
In this course, you will learn how to do the following:
- Identify examples of real-world AI applications.
- Recognize use cases and solutions where AI can address business needs.
- Determine when AL and ML solutions are not appropriate.
- Identify use cases that use ML techniques such as supervised, unsupervised and reinforcement learning.
- Identify capabilities of generative AI.
- Identify challenges of generative AI.
- Identify factors to consider when selecting generative AI models.
- Identify business metrics for generative AI applications.
Intended audience
This course is intended for the following:
- Individuals interested in machine learning and artificial intelligence independent of a specific job role
Prerequisites
Attendees are recommended to complete the Fundamentals of Machine Learning (ML) and Artificial Intelligence (AI) course, which provides the foundational knowledge for AI, ML, and generative AI.
Course outline
Section 1: Introduction
- Lesson 1: How to Use This Course
- Lesson 2: Introduction
Section 2: Artificial Intelligence
- Lesson 3: Recall of Prior Learning
- Lesson 4: Examples of Real-World Use Cases
- Lesson 5: Examples of AI Applications
Section 3: Machine Learning
- Lesson 6: Machine Learning
- Lesson 7: Machine Learning Techniques and Use Cases
- Lesson 8: Knowledge Check
Section 4: Generative AI
- Lesson 9: Generative AI
- Lesson 10: Capabilities of Generative AI
- Lesson 11: Challenges of Generative AI
- Lesson 12: Factors to Consider When Selecting a Generative AI Model
- Lesson 13: Business Metrics for Generative AI
- Lesson 14: Knowledge Check
Section 5: Conclusion
- Lesson 15: Resources
- Lesson 16: Contact Us
Keywords
- Gen AI
- Generative AI
