Google AI Boost Bootcamp 201 Marketing Workflow

Google published AI Boost Bootcamp 201 for marketing teams on June 22, 2026. The course is built around role-specific Gemini workflows instead of abstract AI literacy. That is the right direction. Most teams do not need another "what is AI?" session. They need one repeatable workflow that changes the work next Monday.

The course points marketers toward practical surfaces across Google Workspace: NotebookLM for customer feedback synthesis, Gemini Deep Research for competitive analysis, Canvas and Google Vids for campaign assets, =AI() in Sheets for sentiment analysis, Workspace Studio for campaign workflows, and Gemini Enterprise agents for marketing tasks.

The lesson for Executives is bigger than marketing. AI adoption works better when it is tied to a job, an input, an output, a review step, and a success metric.

Use the course as a workflow factory

Do not assign the course and ask for a summary. That produces polite compliance and no operational change.

Instead, assign one person to bring back one tested recipe. The deliverable should fit on one page:

• Workflow name.
• Business problem.
• Inputs required.
• Tool used.
• Prompt or instruction.
• Human review step.
• Output format.
• Owner.
• Success metric.
• When to stop using it.

That last line matters. AI workflows need an off-ramp. If the result is slower, riskier, or harder to review than the old process, it should not become a habit.

Four workflows worth testing

Start with one of these.

1. Customer feedback synthesis

Use NotebookLM to organize customer interviews, survey comments, support snippets, and sales notes into themes. The output should not be "what customers said." It should be "what changed in our understanding of the buyer."

Prompt:

Synthesize this customer feedback into five themes. For each theme, include supporting evidence, one quote or paraphrased example, the likely buyer concern, and one marketing action we could take in the next two weeks. Flag anything that needs more evidence.

2. Competitive research

Use Gemini Deep Research for a competitor scan tied to a decision. The weak version is a generic competitor profile. The useful version answers a specific question, such as whether a campaign should emphasize speed, integration, price, trust, or support.

Prompt:

Research the last 30 days of public moves by [COMPETITORS]. Focus on messaging changes, product announcements, pricing signals, customer concerns, and partnership activity. End with three implications for our next campaign and cite the sources used.