TECH 192 — A Crash Course in Artificial Intelligence (AI): Part II
Quarter: Winter
Instructor(s): Ronjon Nag
Date(s): Feb 18—Mar 18
Class Recording Available: Yes
Class Meeting Day: Tuesdays
Class Meeting Time: 6:30—8:30 pm (PT)
Tuition: $410
Refund Deadline: Feb 20
Unit(s): 1
Status: Registration opens Dec 2, 8:30 am (PT)
You can leverage the power of AI in biology, business, and beyond—without needing to code. This advanced course is a continuation of TECH 152: "A Crash Course in Artificial Intelligence (AI): Part I," focusing on practical applications that anyone can master. Students will start with prompt engineering, where you'll learn to design and refine effective commands in plain English. Next, we'll explore specialized platforms for creating AI applications, including custom AI personas tailored to your needs. As the course progresses, you'll gain hands-on experience training and fine-tuning large language models (LLMs), navigating the complexities of model selection and utilization. Expert guest speakers will provide real-world insights into building and deploying AI systems. While some code exploration is included, the focus remains on accessible drag-and-drop tools.
By the end of this course, students will have:
By the end of this course, students will have:
- Learned essential AI tools
- Gained the skills to train and fine-tune AI models on accessible platforms
- Enhanced their personal and professional productivity with AI-driven solutions
This is the second course in a two-part sequence. Students may enroll in Part II without having enrolled in Part I. A brief review of concepts covered in "A Crash Course in Artificial Intelligence (AI): Part I" will be offered at the beginning of the course to ensure all students are up to speed. Familiarity with AI concepts like neural networks is helpful but not required.