Artificial intelligence has evolved through numerous phases, yet it remains both intriguing and inspiring to witness machines become increasingly capable of crafting poetry, humor, and responses that uncannily mimic human creativity. 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. Throughout this course, you will also learn how to create algorithms, and gain hands-on experience writing code using popular programming languages.
Complete the following required modules to earn an industry-recognized IBM SkillsBuild digital credential called Generative AI in Action:
- Introduction to Generative AI
- Crafting Precision Prompts with Generative AI
- Coding Simplified with Generative AI
What you’ll learn
After completing Generative AI in Action, you should be able to:
- Explain how generative artificial intelligence 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 improves generative AI models
- Identify common prompt elements
- Explore code generation using a natural language prompt
- Describe prompt engineering techniques
- 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
Prerequisite knowledge and recommendations
- This is an advanced-level credential. Complete Artificial Intelligence Fundamentals to acquire the prerequisite knowledge for this course.
- The knowledge and skills in these modules build on each other, so SkillsBuild recommends that you complete the modules in the order in which they are presented.
