Intermediate Tier
AI Power User
For professionals who already use ChatGPT or Gemini casually and want to get deliberate and efficient — eight modules on how these models actually work, six-part prompt engineering, task-specific techniques, full document and image workflows, early video/audio tools, and choosing the right platform every time.
How LLMs Actually Work (Just Enough)
🔒 SubscriberTokens, context windows, training cutoffs, and why models hallucinate — enough mechanics to reason about a model's limits, no math required.
Prompt Engineering Fundamentals
🔒 SubscriberThe six building blocks of a strong prompt, zero-shot vs. few-shot, iterative refinement, and persistent context via system prompts, Projects, and Gems.
Prompting Techniques for Specific Tasks
🔒 SubscriberChain-of-thought reasoning, structured output, role-play practice, tone-matched writing, and basic coding and spreadsheet prompts.
Document & Content Creation Workflows
🔒 SubscriberThe full research-to-edit pipeline, working inside Canvas-style editing panes, querying uploaded files, and citation discipline.
Image Generation Deep Dive
🔒 SubscriberPrompt structure for images, iterating with edits and variations, how the major image tools compare, and real presentation and social use cases.
Intro to Video & Audio Generation
🔒 SubscriberWhat Sora, Veo, and Grok Imagine video can do today, text-to-speech and voice cloning basics, and setting realistic expectations.
Platform Comparison & Choosing the Right Tool
🔒 SubscriberA deeper dive into what each of the five platforms is genuinely best at, and the three-question framework for picking the right one, every time.
Working Responsibly at Scale
🔒 SubscriberData privacy for work, bias, copyright and originality, building a personal prompt library — then your capstone project and certificate.