TECH 74 — The AI-Enabled Professional: The Art and Science of Building AI Workflows
Quarter: Summer
Instructor(s): Deepa Paranjpe
Date(s): Jul 7—Aug 11
Class Recording Available: No
Class Meeting Day: Tuesdays
Grade Restriction: NGR only; no credit/letter grade
Class Meeting Time: 6:30—8:00 pm (PT)
Tuition: $395
Refund Deadline: Jul 9
Unit(s): 0
Enrollment Limit: 45
Status: Registration opens May 18, 8:30 am (PT)
Quarter: Summer
Day: Tuesdays
Duration: 6 weeks
Time: 6:30—8:00 pm (PT)
Date(s): Jul 7—Aug 11
Unit(s): 0
Tuition: $395
Refund Deadline: Jul 9
Instructor(s): Deepa Paranjpe
Grade Restriction: NGR only; no credit/letter grade
Enrollment Limit: 45
Recording Available: No
Status: Registration opens May 18, 8:30 am (PT)
Move beyond the headlines and learn to harness AI as a partner in your career and daily work. This course helps professionals distinguish hype from real potential and teaches how to design human-in-the-loop workflows that amplify productivity while maintaining quality and ethical standards.
Students explore practical applications across fields such as technology, marketing, education, and design. Each week focuses on a specific domain: co-creator AI agents to boost creativity, AI tutors to enhance learning, and AI-based executive assistants to streamline daily productivity. Students evaluate and operationalize a variety of AI tools and tech stacks, learning to select solutions that fit their unique needs.
The course culminates in a capstone project where students identify a high-value workflow, build a human-centric AI solution, and present it to the class. By the end, students leave with a durable framework for integrating AI effectively and responsibly.
Students explore practical applications across fields such as technology, marketing, education, and design. Each week focuses on a specific domain: co-creator AI agents to boost creativity, AI tutors to enhance learning, and AI-based executive assistants to streamline daily productivity. Students evaluate and operationalize a variety of AI tools and tech stacks, learning to select solutions that fit their unique needs.
The course culminates in a capstone project where students identify a high-value workflow, build a human-centric AI solution, and present it to the class. By the end, students leave with a durable framework for integrating AI effectively and responsibly.
This course relies on third-party AI tools that are not managed or supported by Stanford. Students will need to use these tools for assignments. Some tools have free versions or trials, but students may need to upgrade if usage limits are reached. Typical costs range from $25–$100 per month. See the syllabus for more details.