AI FOR MARKETING TEAMS

Marketers Were Already Doing More With Less. AI Changed What 'More' Means.

AI training for marketing teams. Built around the work that fills your week: research, content, campaigns, and reporting.

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TRUSTED BY
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JOIN THE MARKETING TEAMS MASTERING AI

What Changes When Marketing Teams Build Real AI Skills

3.9hrs

Saved per participant, 
per week

100%

Improved
productivity

100%

Increased
confidence
WHAT YOU CAN EXPECT
AI for Marketing | Edifai
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Three program levels, from AI foundations to building AI agents for marketing
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Hands-on AI skills training for Marketers, virtual or in-person
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Tailored to your tools, team size, and level of AI readiness
AI Skills Training

AI Training for Marketing Teams

Our AI training programs for marketing are designed for the reality of speed and volume, brand consistency, and ROI scrutiny.

Each level is tailored to your brand, tools, and ways of working, building the capability and confidence that moves marketing teams from inconsistent AI use to scalable, high-performing AI-enabled campaigns.

1
2
3
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  • Explore

    Build the AI confidence and shared language teams need to start using tools well.

  • Apply

    Build the skills to use AI in the workflows where it delivers measurable ROI.

  • Transform

    Embed AI into how the business operates, at scale, across every function.

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1.Explore:

AI Foundations

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BUILT FOR
Teams who have a mixed awareness of AI and need everyone working from the same foundation.
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2 hours
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Up to 200 participants
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Build core AI literacy across your team
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Improve the consistency and quality of outputs with effective prompt engineering frameworks
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See how to apply AI to research, content creation, data analysis, and task automation
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Establish best practice for responsible everyday AI use

2.Apply:

AI for Marketing Mini Lab

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BUILT FOR
Marketing teams ready to put AI to work across the full campaign lifecycle, from research and planning through to content creation and reporting.
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3.5 hours
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Up to 50 participants
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Turn campaign briefs into audience insights, personas, and prioritized messages using AI
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Generate on-brand copy, social posts, emails, and ad variants with reusable prompt templates
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Draft briefs, build channel strategies, and spot optimization opportunities from performance data
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Turn raw analytics into clear reports your stakeholders actually want to read

3.Transform:

Building AI agents for Marketing

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BUILT FOR
Marketing teams ready to automate routine campaign work and free their team for creativity, strategy, and performance.
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2 x 3.5 hours
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Up to 25 participants
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Identify your highest-value AI agent use cases across the marketing workflow
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Design and build a working AI agent prototype using your authorized tools
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Connect your agent to marketing tools, knowledge bases, and existing workflows
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Test and optimize your agent against marketing scenarios and leave with a working agent prototype
All Our AI Training Programs Include
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Expert facilitators
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Hands-on,
practical learning
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Learning kits
& resources
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Virtual and in-person
delivery
TESTIMONIALS
Melissa Molenda

Melissa Molenda

Associate Director of Marketing
A Global Conservation Company
“In my 30-year career in marketing and public relations, a handful of training sessions have changed my life. This is one of them. By far one of the best, most interesting, useful and on-trend training I’ve ever participated in, and I started using the techniques immediately after the session ended.”
CASE STUDY

Global Environmental Non-Profit: AI Skills Training for Communications Teams

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The problem

A global environmental non-profit set out to equip over 200 dispersed communications professionals with AI skills, align global teams on a common foundation, and address concerns about AI adoption across roles and regions.
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The approach

A series of half-day virtual workshops featuring interactive peer-learning exercises, real-world case simulations, and frameworks for applying AI to communications tasks. Follow-up eLearning modules and post-training support reinforced the skills.
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The outcome

The team built a stronger understanding of how AI accelerates communications, from content creation to campaign measurement. Initial skeptics became advocates driving wider AI adoption, and the program is expanding to additional teams and regions

Expert-led AI Training for Marketing Teams

Katie Roden

Katie Roden

Marketing and Creative expert

Katie Roden

With over 30 years' experience in marketing, content creation, publishing, fan engagement and digital transformation, Katie has worked with high-profiles brands across multiple sectors, from education, charity and not-for-profit to retail, telecommunications, book publishing, sports and entertainment. She is also a trainer and facilitator for the Google Digital Academy, helping businesses to maintain best practice in all aspects of marketing, attribution and business operation. ‍She is now working closely with clients in all sectors to explore the possibilities and challenges of AI, from creative innovation, content creation and audience targeting to transformational automation and IP protection.
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Martin Talks

Martin Talks

People and Culture

Martin Talks

Martin is a highly experienced professional who helps organisations and their people innovate, change and transform. He has a strategic understanding of AI, based on practical experience as an entrepreneur: he floated the financial information company, ADVFN, on the London Stock Exchange and he also founded and sold a digital strategy business, Blue Barracuda. He has also held various senior executive positions, including Global Digital Lead of the FCB Group of marketing agencies. He believes in engaging and exciting people about the future and helping them use their imagination as well as looking at trends and data.
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Niall McKinney

Niall McKinney

Non-exec Chair

Niall McKinney

Niall McKinney’s contributions to the fields of Artificial Intelligence (AI) and Digital Marketing have earned him recognition as a thought leader and expert in the industries.‍ Niall's expertise in AI and digital marketing led him to be the Chief Growth Officer at Black Crow AI, which uses AI to help advertisers optimise their digital media buying. ‍When he’s not at Black Crow, Neil can found speaking at AI and digital marketing conferences around the world, sharing his insights on the future of the industry and the role of AI in shaping it.
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Transparent Pricing

Here is how our programs typically price. Final proposals are tailored to your team size and delivery format.
1
Explore:
AI Foundations
From

£5,000

/ cohort

For marketing teams who have a mixed awareness of AI and need everyone working from the same foundation.
2
Apply:
AI for Marketing Mini Lab
From

£6,000

/ cohort

Marketing teams ready to apply AI across the full campaign lifecycle.
3
Transform:
Building AI Agents for Marketing
From

£8,000

/ cohort

Marketing teams ready to automate routine campaign work with AI agents.
1
Explore:
AI Foundations
From

€5,800

/ cohort

For marketing teams who have a mixed awareness of AI and need everyone working from the same foundation.
2
Apply:
AI for Marketing Mini Lab
From

€6,900

/ cohort

Marketing teams ready to apply AI across the full campaign lifecycle.
3
Transform:
Building AI Agents for Marketing
From

€9,400

/ cohort

Marketing teams ready to automate routine campaign work with AI agents.
1
Explore:
AI Foundations
From

$6,300

/ cohort

For marketing teams who have a mixed awareness of AI and need everyone working from the same foundation.
2
Apply:
AI for Marketing Mini Lab
From

$7,600

/ cohort

Marketing teams ready to apply AI across the full campaign lifecycle.
3
Transform:
Building AI Agents for Marketing
From

$10,000

/ cohort

Marketing teams ready to automate routine campaign work with AI agents.

FAQs

  • What is the difference between AI for Marketing Mini Lab and Building AI Agents for Marketing?

    AI for Marketing Mini Lab (level 2) focuses on applying AI assistants across the full campaign lifecycle: research, content, planning, and reporting. Building AI Agents goes further, teaching teams to design, build, and deploy agents that handle routine marketing work independently, freeing the team for creative and strategic work.

  • Who is AI for Marketing training designed for?

    Our programs are designed for marketing and communications teams at every stage of AI readiness, from teams new to AI through to those ready to deploy agents that automate routine campaign work. Each level adapts to your tools, team size, and current capability.

  • How long does AI training for marketing take?

    Programs range from a two-hour AI Foundations session, to a 3.5-hour AI for Marketing Mini Lab, through to a two-session Building AI Agents workshop totaling seven hours. Each one runs virtually or in person, depending on team setup.

  • How much does AI training for marketing cost?

    Programs start from £5,000 / $6,300 per cohort, with pricing based on program level, team size, and delivery format (virtual or in-person). Book a 30-minute call and we will put together a proposal based on your specific needs.

  • Who typically delivers corporate AI training workshops?

    Workshops are delivered by a mix of in-house trainers and specialist facilitators, all with hands-on experience applying AI in professional environments. Trainers are selected based on their subject matter relevance to the audience.

  • How long does it take to plan and deliver AI training for a company?

    From initial conversation to first workshop, Edifai's typical timeline is six weeks. This covers scoping, needs analysis, and scheduling.

  • Can AI training for businesses be customized or is it always off the shelf?

    Every program starts with a proven core curriculum that has been developed and refined across multiple organizations, then customized to reflect the client's specific tools, workflows, terminology, and business priorities. Clients get the benefit of structured, tested content without receiving something generic.

  • What AI tools are covered in workplace AI training programs?

    We cover the AI tools most commonly used in professional environments, including ChatGPT, Microsoft Copilot, and Google Gemini. Where organizations use additional or company-specific AI tools, these can be incorporated into the program. Tools are tailored by function, so participants always train on tools directly applicable to their day-to-day work.

  • How do companies measure whether AI training has worked?

    Edifai measures training effectiveness using a combination of pre and post-program assessments to establish a baseline of AI confidence and capability across the team. Post-assessments then measure the shift that participants can report against.

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