Courses with lecturer
The campaign brief is ready, the deadline is tomorrow, and you need a dozen variations of social media copy, three versions of an email subject line and an idea for a visual that no one has seen before. This course teaches you how to actually speed up this work using ChatGPT and other AI tools — not in theory, but through specific marketing tasks.
An intensive two-day training course for marketing professionals that teaches you how to use ChatGPT and AI tools for branding, content creation, campaigns and customer communication.
You will work through the marketing agenda step by step and see how AI can actually speed up each part of your work:
Kick-start a campaign brainstorm in minutes instead of staring at a blank page for an hour — AI gives you starting points that you can shape and refine to fit your brand.
Create variations of copy for social media, emails and campaigns faster, test more versions than you could produce manually, and select the one that actually fits.
Speed up content creation for websites and e-commerce — from product descriptions to landing page structures.
Use AI beyond traditional marketing — in internal communication, customer service or the automation of repetitive tasks that currently take up your time.
Learn when you can trust ChatGPT and when you need to verify or rewrite its output, so your content does not end up sounding obviously AI-generated.
The course is delivered by experienced experts in artificial intelligence and its practical applications. Martin Krček is a Google Developer Expert for Machine Learning, has led AI teams at AT&T and IBM, and is currently involved in AI transformation at Vodafone. Vlastimil Vlk combines his experience in web application development with the practical use of tools such as ChatGPT, Claude, Canva, Eleven Labs and Gamma.
The main focus is on hands-on practice and real marketing tasks. Instead of spending hours on theory, you will actually use AI for brainstorming, copy and content creation, visual content and other everyday activities. The goal is for you to leave the course with practical methods and tools that you can start using immediately in your work.
You will learn how to use AI and other AI tools for specific marketing tasks — including branding, content creation, social media campaigns, email marketing and customer communication.
No. The course is designed for participants with little or no previous experience using AI tools. A basic understanding of marketing activities is all you need.
General AI courses focus on the tool itself. AI for Marketing Masters works directly with real marketing scenarios — campaigns, content and branding — so you will leave with practical methods you can apply directly to your marketing work rather than just general demonstrations.
The course is designed for marketing professionals who want to use AI for content creation, campaigns and customer communication. It is suitable for both individual marketers and entire marketing teams.
AI and Digital Technology Specialist
Michal currently works at Microsoft as an Agile Coach & Principal Project Manager & PCAI, where he leads an AI transformation portfolio with a team of over 70 people. He was at the birth of the Business Value Program and for his work he received the Microsoft SPARK Award and inclusion in the Platinum Club (reserved for the 200 most influential people within Microsoft).
Michal is not “just” a technical specialist or “just” a manager, but he can connect both levels:
AI Specialist
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HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.
AI in practice: DHL has accelerated the delivery of parcels
DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.
Microsoft, a global tech giant, faced challenges with its complex financial processes, which involved extensive financial planning and analysis (FP&A). Traditional methods were time-consuming and sometimes inaccurate, leading to delayed decisions and potential financial risks.
