A practical 3-hour class for learning the Google AI ecosystem end to end, from Gemini subscriptions and personal intelligence to video workflows, NotebookLM, Custom Gems, Google Flow, Omni, and Antigravity-style AI coding tools.
Schedule
July 24, 2026
Duration
11:00 AM-2:00 PM ET (NY time)
Project
Hands-on capstone
5 practical sections built around live exercises.
Understand the Google AI product surface and how to choose the right access level for personal, business, and creative work.
Topics covered
Hands-on lab
Map your current personal or business tasks to the Gemini plan and tools that fit each workflow.
Learn how to think through prompt-to-video, editing, story structure, and iteration without treating video generation as a one-shot magic trick.
Topics covered
Hands-on lab
Design a short video concept with scene prompts, revision notes, and a reusable review checklist.
Turn repeated tasks into reusable Gemini assistants with stable instructions, tone, and output formats.
Topics covered
Hands-on lab
Build one Custom Gem for a real recurring task such as email, research, planning, content, or learning.
Use Gemini and NotebookLM to work with your own context while keeping source discipline and judgment intact.
Topics covered
Hands-on lab
Create a NotebookLM workflow for a document set, then convert the result into a practical action plan.
Explore how Gemini-powered and Antigravity-style tools fit into coding, product building, automation, and daily execution.
Topics covered
Hands-on lab
Draft an AI-assisted execution workflow that moves from idea to researched plan, prompt system, prototype, or automation checklist.
Concrete capabilities you should leave with.
Understand the Google AI ecosystem and which tools fit which jobs
Create reusable Gemini prompts and Custom Gems
Use NotebookLM for grounded research and learning workflows
Plan Gemini video workflows with Omni and Google Flow
Apply Antigravity-style AI tools to coding, product, and automation tasks