Who should attend
- employees who need practical AI and digital-service skills
- administrative and project staff
- virtual assistants and content creators
- employees without a marketing or social-media background
Training for business teams
AI and digital tools for content creation and web workflows
A practical course in AI, computer software, cloud services and web platforms for everyday work. Employees create and process digital content, collaborate on files and data, build pages and forms, analyse metrics and automate repeated tasks.
Starts: Ends:
Hours and format120 academic hours: 60 contact + 20 supervised web/project mentoring + 40 independent
2 990 €
including 24% VAT per employee
Excluding VAT 2 411,29 € + VAT 578,71 €
Learning outcomes
- organise files, access permissions, collaboration and cloud data exchange
- use generative AI safely, write prompts and verify outputs
- create and edit text, graphics, presentations and short videos
- work with web platforms, content management, forms and no-code builders
- collect data and use UTM parameters, GA4, Search Console, spreadsheets and dashboards
- build and document simple workflows in Make, n8n or comparable services
Learning workload
Hours by learning format
One academic hour is 45 minutes. The schedule and format are agreed with the employer before booking.
Contact60
Web and mentored project20
Independent40
The 20-hour block includes web sessions and an individual project with mentor guidance and consultations. Tasks, meetings and assessment follow the curriculum and schedule.
Full curriculum
10 modules in AI, digital tools and web workflows
120 academic hours: 60 contact hours, 20 hours of supervised web/project mentoring with the tutor and 40 independent hours. Each module combines a practical task, feedback and an applicable work result.
1Digital workspace and security6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Browsers, accounts, cloud storage, folder structures, file formats, sharing, backups, password managers, phishing, personal data and digital footprints.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Set up a structured digital workspace.
Format
Tool demonstration, guided setup and independent workspace practice.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
2Generative AI and prompt management6 contact + 2 supervised web/project mentoring + 4 independent academic hours
AI service types, model capabilities and limits, prompt structure, context, iteration, fact-checking, confidentiality, copyright and labelling AI materials.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Create a prompt library and an output-checking checklist.
Format
AI service demonstrations, prompt practice, result checking and risk review.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
3AI for text and information6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Finding and organising information, summarising, structuring, translation, style adaptation, spreadsheets and documents. Communication and social media texts serve as applied examples.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Create and edit a material pack with recorded sources and revisions.
Format
Text, document and spreadsheet practice and review of AI outputs.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
4Graphics, presentations and short video6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Canva or comparable tools, templates, sizes and formats, composition, accessibility, image editing, AI generation, subtitles, basic editing and export.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Create digital materials for a website or social platform.
Format
Content-editor practice, material creation and quality checks.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
5Web platforms and content management6 contact + 2 supervised web/project mentoring + 4 independent academic hours
CMS and no-code builders, page structures, blocks, links, forms, responsiveness, accessibility, basic metadata and publishing. SEO is covered through web content and metadata settings.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Build a working page or prototype with a form.
Format
Web platform and builder practice, page-structure and form checks.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
6Digital platforms as a workspace6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Website and social-platform interfaces, roles and permissions, media libraries, scheduling, publishing, templates, moderation, statistics and data export. Social media is a platform-management example.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Set up a process for preparing and publishing materials.
Format
Interface demonstration, role setup and publishing-workflow practice.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
7Data collection and structuring6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Online forms, spreadsheets, data validation and cleaning, UTM parameters, events, data sources and CSV import/export.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Build a form, spreadsheet and consistent data-collection structure.
Format
Forms, spreadsheet, import, export and data-checking practice.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
8Web analytics and visualisation6 contact + 2 supervised web/project mentoring + 4 independent academic hours
GA4, Google Search Console and/or training datasets; users, sessions, events, sources and filters; pivot tables, charts and Looker Studio. Advertising metrics may be a dataset without teaching advertising setup.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Build a dashboard and a short conclusion supported by data.
Format
Analytics-interface, spreadsheet and visualisation practice and basic metric interpretation.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
9No-code automation and integrations6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Make, n8n or comparable tools; triggers, actions, conditions, webhooks, APIs as data exchange, forms, spreadsheets, notifications, error handling, logs and human review.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Build and test an automated workflow.
Format
Step-by-step integration, testing, error handling and output checking.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
10Integrated final digital project6 contact + 2 supervised web/project mentoring + 4 independent academic hours
Plan, build and document a solution combining AI, digital content, a page or form, data/analytics and at least one automation. Test, fix, present and reflect on the result.
Contact: 6Web and mentored project: 2Independent: 4
Practice
Present a practical digital project with an organised workspace, AI-assisted materials, a page or form, data and automation.
Format
Project work, testing, presentation and final feedback.
Work with the tutor online or in a project workshop: discuss the module task, check the result and receive feedback.
Learning objective
Develop confident, safe and purposeful use of AI, computer software, cloud applications, web platforms, data analysis and no-code automation to create digital materials and organise work.
The course focuses on software and digital technology skills. Websites, social platforms and communication tasks provide applied examples for learning the tools.
Teaching methods
Short explanations and demonstrations, step-by-step computer practice, case tasks, individual and pair work, checking AI outputs, technical problem solving, independent tasks, feedback and project-based learning.
Independent work
Set up a digital learning environment, complete tasks in AI and web services, create and adapt materials, collect and clean data, prepare visualisations, build and test automation, maintain a work log and prepare the final project.
Assessment and completion
Assessment is pass/fail.
A final project passes when it works in the stated scenario, includes all required components, exchanges and displays data correctly, and the learner can repeat the main actions and explain the result's limits.
A certificate (tunnistus) is issued to a learner who attends at least 70% of contact sessions, completes assessment tasks and the final project, and achieves all learning outcomes.
A record of participation (tõend) is issued to a learner who participates without assessment or does not achieve all learning outcomes. It states the topics and actual participation volume.
- Complete the main practical assessment tasks.
- Present a final project combining an AI tool, digital content, a web platform or form, data and automation.
- Demonstrate the solution and explain the tool choices.
- Observe security, confidentiality and copyright requirements.
- Resolve critical errors identified during review.
- Attend at least 70% of contact sessions.
Tutor qualifications
Ksenia Ignatieva is a marketer, entrepreneur and investor, owner of the international advertising agency Do.Marketing, and a marketing and business-development practitioner with over 13 years of experience. Her higher education specialisation is entrepreneurship.
The programme draws on the tutor's practical experience with digital platforms, content creation, analytics, AI tools and workflow automation.
Organisation
Before booking
Volume120 academic hours (45 minutes each)
Start date30.11.2026
End date13.01.2027
Structure60 contact + 20 supervised mentoring + 40 independent hours
TutorKsenia Ignatieva
GroupEmployer training cohort
A certificate (tunnistus) is issued after attendance at at least 70% of contact sessions, completion of assessment tasks and the final project, and achievement of all learning outcomes. Other participants who do not complete assessment or achieve all outcomes receive a record of participation (tõend).
The price includes training, materials, consultations in the curriculum and assessment. Paid licences and additional services are listed in the proposal in advance.
Employer booking termsCompany enquiry
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