About this learning activity
In this course, you’ll learn about the history of AI, how deep learning plays a pivotal role in generative AI (gen-AI), and how gen-AI works and is applied to various industries. You will also learn how to create algorithms, and gain hands-on experience writing code using popular programming languages.
What you’ll learn
After completing this course, you should be able to:
- Explain how generative artificial intelligence (gen-AI) works
- Define what foundation models are and their role in machine learning
- Understand how transformers models are used to solve various language-related tasks
- Describe how prompt engineering improve generative AI models
- Perform common programming tasks using Python’s built-in functions and libraries
- Create scripts and code for solving real-world problems and automating routine tasks
COURSE OVERVIEW
LESSON 1: INTRODUCTION TO GENERATIVE AI
LESSON 2: UNDERSTANDING FOUNDATION MODELS
- About this lesson: Understanding foundation models
- Foundation models
- Large language models
- Tokenization
- Embeddings
- Transformers
- Encoders and decoders
- Risks and ethical concerns
- Quiz
LESSON 3: INTRODUCTION TO WATSONX.AI
- About this lesson
- Activity: Explore the watsonx prompt lab
- Summary
Duration: 90 Minutes
Enrollment Instructions:
Learners must create a free IBM SkillsBuild Account to access this course. Continue to enroll to get started.
New Collar Talent is an authorized IBM SkillsBuild Collaboration Partner.
