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Liam
Professor
An intensive course teaching how to transform scattered text prompts into specialized AI tools (Custom GPTs and Gemini Gems). Students will be equipped with a 3-tier architectural system, brand knowledge compression techniques, Brief Co-pilot assistant development, and enterprise-grade centralized prompt library management.
4.6 2.6K

Course Description

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  • 110 hours in total
  • 75 lessons
  • 24 challenges
  • 3 Certificates of completion
  • Lifetime access

Video

110 hours in total

Text material

382 pages

Assessments

24 challenges

Certificates

3 Certificates

What's included?

Outstanding features for highly customizable Courses, Units, Lessons, and Quizzes.

Comprehensive Knowledge

Master the 3-tier AI assistant architecture to scale from single text prompts to Custom GPTs and Gemini Gems integrated with organizational knowledge.

Working Pipeline

Build and configure a successful Brief Co-pilot assistant that automatically parses raw briefs into optimized prompts for AI models using the "Single Clarifying Question" rule.

Practice

Apply brand knowledge compression techniques to turn bulky guide documents into precise technical parameters, preventing color and style drift (Prompt Drift).

Real Experiment

Establish and manage an enterprise-grade centralized Prompt Library with rigorous audit standards (>95% consistency) and semantic versioning labels.

Course Lessons

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Created by

Liam

History Teacher
Liam brings over 8 years of practical experience in Multimedia Production, CGI/VFX, and Commercial Ad Design. A Digital Communication & Media graduate from Raffles University (Singapore), he has advised on visual and AI strategy for enterprise clients including The Grand Ho Tram, Nutifood Corp, NgocDung, Kangnam, and PICKDI Corp. Specializing in integrating Generative AI into commercial pipelines, he trains students in workflows that meet strict Korean partner standards.

Reviews

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4.8
8.9K ratings
5: 8K reviews
4: 567 reviews
3: 9 reviews
2: 0 reviews
1: 0 reviews
Nguyen Hoang Nam
54 minutes ago
5.0
The knowledge is intensive!
The knowledge compression technique is truly a lifesaver for turning heavy brand guideline files into neat technical parameters. My team no longer runs into brand color mismatches (prompt drift).