AI · AIC-43

AI for Advertising & Digital Agencies

AI for Advertising & Digital Agencies is a course in using AI for agency work, from campaign ideas and copy across platforms to key visuals, pitches, media planning and client reports. It suits agency owners, creatives, copywriters, art directors and account teams, and you leave able to build a brand-guarding assistant with Custom GPT or Gems.

Updated
From 6,210 THB / person 6,900 −10% excl. VAT 7% · group rates available
PDFDownload the course outline
  • Duration12 hours · 2 days
  • FormatOnsite / live online
  • Next roundOn request
  • CertificateIncluded

Course overview

Advertising and digital agencies must produce large volumes of creative work for many clients under tight deadlines: ideation and campaign concepts, writing copy and content across platforms, creating ad images and media, writing proposals and pitches, media planning, and preparing performance reports for clients. These tasks pressure both volume and creativity. Generative AI helps agency teams ideate faster, produce more, and free up time to focus on strategy and quality. This course is designed to help advertising and digital agency teams use AI in real work confidently and systematically,

covering ideation and concepts, copy and content, ad images and media, proposals and reporting, setting up an assistant and knowledge base, to automation with n8n, plus practices for copyright and responsible AI use, client data accuracy, and protecting data under PDPA. All content is taught through workshops on real agency tasks, finishing with a capstone project where learners set up an end-to-end AI toolkit for their own work. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)

What you’ll gain

  • Understand how AI changes advertising and digital agency work and choose the right AI tool for each task
  • Design prompts and set consistent agency and client brand tone
  • Use AI to ideate, create campaign concepts and write copy across platforms
  • Use AI to create professional ad images and media
  • Use AI to help write proposals, pitches and media plans
  • Use AI to help build performance reports and analyze campaigns for clients
  • Build an agency assistant and knowledge base with Custom GPT/Gems
  • Set up automation with n8n and manage copyright and responsible AI use
  • Control data accuracy and protect client data under PDPA

Who this course is for

  • Owners and managers of advertising and digital agencies
  • Creatives, copywriters and art directors
  • Strategy planners and account / project managers
  • Content, social media and performance marketing teams
  • Advertising freelancers and entrepreneurs who want to improve efficiency with AI

Prerequisites

  • General computer, smartphone and internet skills
  • Experience with content or advertising on social media and digital platforms
  • Understanding of your team work or process to use as a case study during training
  • No AI or programming background required

Curriculum

Course Details

A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. Learners take home a client-segmented prompt library, an agency assistant (Custom GPT/Gem), copy, pitch and reporting templates, and a copyright and PDPA checklist.

Day 1 AI for Ideas, Content and Ad Images

Section 1: AI in Advertising and Digital Agency Work

  • An overview of generative AI in agency work and what changes in the process
  • AI use cases: ideas, concepts, copy, content, images, proposals and reporting
  • Choosing the right AI tool and a responsible-use frame that respects copyright

Section 2: Prompts and Agency and Client Brand Tone

  • A good prompt structure for agency work: role, brand, target audience and output format
  • Setting and keeping each client brand tone consistent with examples and a brand guide
  • Building a prompt library segmented by client and work type

Section 3: Ideas, Concepts and Copy

  • Using AI to brainstorm ideas, create campaign concepts and set themes and taglines
  • Writing copy, captions and content across platforms while keeping brand tone
  • Workshop: create a campaign concept and a copy set with AI

Section 4: Ad Images and Media with AI

  • Using AI and Canva to create professional ad images, key visuals and multi-size media
  • Making images match the brand and respect copyright, and preparing a media set for campaigns
  • Workshop: design one key visual or ad media set with AI and Canva

Section 5: Proposals, Pitches and Media Planning

  • Using AI to help write proposals and prepare credible pitch decks
  • Helping with media planning and basic campaign direction while verifying data before real use
  • Workshop: draft a pitch outline or campaign plan with AI
Day 2 Reporting, Assistants, Administration and Automation

Section 6: Campaign Analysis and Reporting

  • Using AI to help summarize and analyze campaign performance and basic insights
  • Preparing easy-to-understand, professional client reports with recommendations
  • Workshop: build a campaign performance report with AI

Section 7: Chatbots and Agency Assistants

  • Building a Custom GPT or Gem as an assistant that keeps brand tone and helps with each client copy
  • Embedding brand guides and work samples for consistent, on-brand results
  • Workshop: build one agency assistant for a client or work type

Section 8: Documents and Administration

  • Using AI to help with documents, quotes and coordination with clients and the team
  • Summarizing meetings and briefs and preparing basic operations reports
  • Managing data and documents systematically, being careful with sensitive data

Section 9: Agency Automation with n8n

  • Setting up automation with n8n, such as collecting campaign data, queuing content and team notifications
  • Connecting data across tools and channels with access control
  • Workshop: design one simple automation flow for the agency

Section 10: Copyright, Client Data and PDPA

  • Using AI responsibly, respecting image and content copyright, and disclosing AI use when appropriate
  • Client and campaign data to be careful with: what can and cannot go into AI
  • Personal data under PDPA and setting the team's AI usage guideline

Section 11: Capstone Project and Real-world Adoption

  • Task: set up an end-to-end AI toolkit for the learner's agency work, from ideas and content to images, pitches, an assistant and reporting
  • Present the work and get feedback from the instructor and peers
  • A first-30-days adoption plan and setting up AI use for the whole team

Schedule & training options

For individuals — public rounds

No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770

For organisations — in-house / private

  • Tailor the content to your team’s tools and projects
  • Your dates, at your office or live online
  • Quotation with tax ID for procurement
Corporate training quote

Instructors

Frequently asked questions

How do you use AI to develop campaign concepts that are fresh and on-brand?

Give the AI a full brief: campaign goal, audience, consumer insight, brand tone and what the brand never does. Ask for many concepts from different angles, such as emotional, factual or cultural, then have the AI critique each against the brief and drop the predictable ones. The creative team chooses and develops the final idea, because AI is best at widening the options while judgement stays with the team.

How do you adapt one piece of ad copy for several platforms with AI?

Start from the core message the client has approved, then tell the AI each platform's requirements, such as headline and body length, the audience and formats that work, for example a short hook for vertical video or tight copy for search ads. Ask for several variants for A/B testing that keep the substance and brand tone, then check each against the platform's advertising policy before delivery.

Can AI-generated images be used in client advertising, and what are the copyright risks?

Yes, if the tool's terms allow commercial use, but avoid prompts that imitate a particular artist's work, characters, logos or real people's faces without permission. In many countries purely AI-generated images may not receive full copyright protection, so tell the client which images used AI and keep a record of the prompts and tools. This course provides a copyright and PDPA checklist to take back to work.

Who is the AI for Advertising & Digital Agencies course for, and what should I know beforehand?

It suits agency owners and managers, creatives, copywriters and art directors, strategy teams and account or project managers, and content, social media and performance marketing teams. No AI or programming knowledge is needed. You should be able to use a computer, smartphone and the internet, have worked on content or advertising on digital platforms, and understand how your own team works.

What will I be able to do after the AI for Advertising & Digital Agencies course?

You will be able to use AI for ideas, campaign concepts and copy across platforms, create images and ad materials, write pitches and plan media, produce campaign reports and analysis for clients, build an assistant that guards each client's brand tone in Custom GPT or Gems, and set up n8n automation while managing copyright and PDPA. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.

Can the AI for Advertising & Digital Agencies course be run in-house for our team?

Yes. It can be run in-house for your agency, with examples adapted to your team's work, such as mock briefs from the sectors your clients are in. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.