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  • Payment: Free Preview (Paid Upgrade)
  • Learning style: Self-paced, start anytime
  • Format: Text & Interactive
  • Video access: Streaming Only
  • Before you start: Introduction to ChatGPT
DataCamp details
  • Chapters: 3
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Course Details
Learning Style

Start Anytime

Level

Beginner

Study Mode

100% Online

Duration

Short (< 10 Hours)

Languages
Audio Language

English

Outcomes
Certificate

Certificate of Completion

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Free Preview (Paid Upgrade)

Technical
Content Medium

Text & Interactive

Video Access

Streaming Only

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Access

Subscription

SKU: ai-marketing-datacamp Category: Tags: , Brand:

Learn to brief Microsoft Copilot with goals, context and limits, apply it to campaign content and data, and build a custom ad copy assistant.

At a glance
Duration3 hrs
LevelBeginner
CertificateCertificate of Completion
LanguageEnglish
Taught byAdel Nehme
AccessSubscription
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Microsoft Copilot acts as a marketing assistant throughout, and the core skill is briefing it with clear goals, context and limitations so it returns results worth using. You apply that framework to campaign scoping, audience research, content outlines, image prototypes and campaign data. You then build custom assistants that hold brand guidelines and rules, so repeated tasks come out consistent.

What You Will Achieve

  • Structure a prompt around goals, context and limitations to get better marketing results
  • Scope campaigns, research audiences and analyze performance data with an AI assistant
  • Draft content and prototype on-brand visuals while judging when a designer is still needed
  • Configure a custom ad copy assistant with built-in brand guidelines and rules


Program Overview

Campaign Planning and Prompt Framing with AI

Shows how AI fits into marketing planning and how goals, context and limitations shape a prompt used for scoping campaigns and generating ideas.

  • The shift AI brings to marketing work
  • Goals, context and limitations in a prompt
  • Scoping and planning campaigns
  • AI-assisted ideation and feedback

Content, Visuals and Data in Campaign Execution

Applies AI to copy, design and performance analysis, then closes with a paid media capstone that researches audiences, drafts creative variations and measures results.

  • Content outlines with added context
  • Prototyping on-brand visuals and their tradeoffs
  • Data analysis and risk versus reward
  • Paid advertising capstone sprint

Custom AI Assistants for Marketing Workflows

Moves to assistants configured for one workflow, with brand knowledge and rules built in, and walks through the parts of an ad copy assistant before building one.

  • General versus custom assistants
  • Custom assistant basics and idea generation
  • Components of an ad copy assistant
  • Building and configuring the assistant

Certificate Awarded (Paid)


Job Outlook

These skills apply to marketing work in content, paid media, social media and generalist roles, wherever campaigns are planned, written, designed and measured with the help of AI assistants.


Our take

Good for: Marketers in content, paid media or social roles who want a repeatable way to brief Copilot and turn recurring tasks into on-brand assistants.

Keep in mind: The exercises are built on Microsoft Copilot, so the walkthroughs follow that tool; check your company’s AI usage policy before uploading marketing data.

Bottom line: A Copilot-based course that carries one prompt framework through campaign planning, execution and a working custom ad copy assistant.

Frequently Asked Questions

Why is Microsoft Copilot the tool used?

Copilot brings chat prompting, file uploads, built-in agents such as the Researcher and Idea Coach, and the option to create custom assistants into one place, which suits marketing tasks that go beyond generating text.

Can AI images replace a designer for campaigns?

AI handles quick visual ideation and background assets well, but it has trouble rendering precise text and keeping strict brand consistency across many images. The lessons help you judge when AI fits the job and when a designer is still the better choice.

Is it safe to upload company marketing data to an AI tool?

The course takes this up directly. Check your company's AI usage policy first, remove or anonymize any personally identifiable information, and verify any analysis the AI produces instead of accepting it as given.

When is a custom assistant worth building?

A custom assistant pays off on repeated tasks that need consistent output. With brand guidelines and rules loaded in advance, it can produce on-brand ad copy or social content without you restating the context in every session.

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