AI Foundations for Virtual Assistants

About Course

Learn to use AI for everyday VA work while checking facts, protecting client information, and keeping decisions under human control.
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What I will learn?

  • Write prompts with clear facts, readers, formats, and limits
  • Draft and review emails and customer escalation notes
  • Plan research and keep claims connected to sources
  • Check basic spreadsheet formulas and write a short report
  • Create factual captions and an editable content calendar
  • Simulate a repeatable process and document human review

Course Curriculum

Module 1: AI basics and responsible use
Understand AI draft generation, create useful prompts, minimize practice inputs, and verify outputs against approved facts.

  • Lesson 1: What AI can do for a virtual assistant
  • Lesson 2: Writing a useful prompt
  • Lesson 3: Protecting client information
  • Lesson 4: Checking AI output

Module 2: Admin and client communication
Prepare email drafts, adapt tone, extract meeting actions, and escalate customer concerns without inventing decisions.

Module 3: Research and spreadsheet calculations
Define research questions, verify claims, prepare structured data, and check basic spreadsheet calculations.

Module 4: Reports and social media drafts
Write an evidence-based workload report and create useful, factual social content for a defined audience.

Module 5: Content routines and simple automation
Organize a draft content calendar, build checklists, simulate a basic workflow, and assemble a reviewed client work pack.

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$50.00

Requirements

  • Basic typing, email, document editing, and arithmetic
  • an internet-connected computer
  • access to a client-approved AI chat tool and a spreadsheet application. No coding or paid AI plan is required.

Target Audience

  • Aspiring VAs
  • New remote workers
  • Working assistants who have little or no experience using generative AI.

Material Includes

  • Student practice workbook
  • Prompt planner and reusable prompt template
  • Communication examples and review checklist
  • Research evidence log and spreadsheet practice data
  • Content brief and calendar
  • Workflow toolkit and final submission checklist
  • Practical exercises in every lesson