AI in Marketing Course – Artificial Intelligence in Marketing Strategies. Latest Marketing Methods Using AI

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

AI foundations for marketing - You will clarify core AI concepts and learn how to distinguish machine learning, neural networks, and NLP, so you can choose the right tools for specific marketing goals with more confidence.

Marketing workflow automation - You will learn how to automate repetitive marketing tasks, helping you launch campaigns faster, save team time, and manage everyday promotional workflows in a more efficient way.

Stronger personalization and insights - You will discover how to use AI for personalized communication, data analysis, and audience behavior forecasting, so you can plan smarter actions and improve campaign performance.

Responsible AI use - You will understand the main ethical, legal, and data security risks, which will help you implement AI solutions responsibly and avoid costly mistakes in brand communication and execution.

AI-driven marketing strategy - You will learn how to define marketing goals with AI and connect new tools with your existing strategy, so technology supports measurable business results instead of becoming a gimmick.

Faster content creation - You will practice creating articles, posts, and other materials with AI tools, allowing you to speed up content production and keep your messaging consistent across multiple channels.

AI multimedia production - You will explore tools for creating graphics, audio, and video, so you can produce promotional assets, podcasts, or audio ads on your own without relying on a large external team.

Websites and SEO with AI - You will learn how to use AI when building websites, optimizing pages, and supporting SEO work, so you can improve brand visibility faster and better align your site with user needs.

Training programme

1. Introduction to AI in modern marketing

trends and directions of AI development in marketing:
- generative AI in B2B and B2C marketing,
- AI-first marketing and process automation,
- overview of tools: ChatGPT, Gemini, Claude, Copilot, Perplexity, Midjourney, Canva AI,
- use of AI agents in marketing activities,
basics of effective collaboration with AI:
- creating effective marketing prompts,
- prompt engineering techniques for marketers,
- building your own prompt libraries,
- managing the quality of AI responses.

2. Creating marketing content using AI

AI-supported content marketing:
- generating blog articles,
- creating newsletters and mailings,
- preparing expert content,
- adapting content to different communication channels,
AI copywriting:
- creating headlines and CTA,
- writing product and service descriptions,
- preparing landing pages,
- creating promotional campaigns.

3. SEO, GEO and content positioning in the AI era

SEO supported by AI:
- keyword analysis,
- creating topic clusters,
- generating article structures,
- content optimization for search engines,
GEO (Generative Engine Optimization):
- preparing content for ChatGPT, Gemini and Perplexity,
- building brand visibility in AI responses,
- AI-Ready Content strategies,
- monitoring brand presence in generative systems,
Automation of SEO processes:
- SEO audits using AI,
- competitor analysis,
- detecting content gaps,
- creating publication plans.

4. AI-generated graphics, video and multimedia

generation of marketing graphics:
- Canva AI,
- creation of advertising materials,
creation of video materials:
- AI video generation,
- AI avatars and presenters,
- automatic subtitles and translations,
- short-form video for social media,
production of audio materials:
- voice synthesis,
- AI-generated podcasts,
- automatic voice-over recordings,
- voice cloning and legal aspects.

5. Personalization of marketing communication

AI in customer segmentation:
- Creation of marketing personas,
- Analysis of user behavior,
- Prediction of customer needs,
- Microsegmentation of audiences,
dynamic content personalization:
- personalization of email campaigns,
- personalization of websites,
- personalization of commercial offers,
- customer journey supported by AI.

6. AI Agents and Automation of Marketing Processes

designing AI agents for marketing:
- agent for content creation,
- agent for competitor monitoring,
- agent for campaign analysis,
- customer inquiry handling agent,
marketing workflows:
- automatic campaign preparation,
- automation of content publishing,
- automation of reporting,
- automatic generation of recommendations.

7. AI in social media marketing

planning and creating content:
- creating publication calendars,
- generating posts,
- multichannel campaigns,
- adapting content to platforms,
analysis and optimization of activities
- brand monitoring,
- sentiment analysis,
- analysis of comments and opinions,
- optimization recommendations,
AI-supported advertising campaigns
- creating advertising creatives,
- generating ad variants,
- optimizing target groups,
- analysis of campaign effectiveness.

8. Marketing data analysis and reporting

AI in marketing analysis:
- advertising campaign analysis,
- website traffic analysis,
- conversion analysis,
- trend identification,
report creation using AI:
- automatic reporting,
- generation of business insights,
- creating presentations for the management board,
- marketing dashboards.

9. Safety, ethics and law in AI marketing

safe use of AI:
- protection of customer data,
- GDPR and generative AI,
- security policies,
legal aspects:
- copyright for content generated by AI,
- labeling AI content,
- responsibility for published materials,
- marketing compliance,
good implementation practices:
- creating standards for working with AI,
- content quality control,
- risk management,
- building an AI strategy for the marketing department.

What are the prerequisites for participating in the training?

Digital marketing basics - You should understand core digital marketing terms such as campaigns, target audience, funnel, and communication channels, so you can follow the training examples with ease.

Online content experience - You should have at least basic experience creating or editing online content, so you can move smoothly through exercises focused on content, visuals, and audio materials.

Web tools proficiency - You should be comfortable using a web browser, online forms, and common web applications, because the training includes hands-on work with AI tools and marketing platforms.

Analytical thinking - You should be able to read basic marketing data and draw simple conclusions, so you can work effectively with personalization, analytics, and market prediction topics.