Practical AI upskilling
Course objective
To teach professionals and managers how to effectively use artificial intelligence tools in their daily work — for analytics, automation, content generation, decision-making, and process optimization.
Learning Format
- Online
- Hands-on cases, workshops, and interactive sessions
- Participant support via a private chat during the course
- Price: 18000 UAH
What Will Graduates Gain?
The problem this course solves
Program of the course "Practical AI upskilling"
- Evolution of AI: from automation to cognitive agents
- Main areas of AI application in business
- Generative AI, LLM, Copilot, autonomous agents
- How AI changes roles: manager, analyst, marketer, HR, IT
- Ethical and legal aspects
Practical session: AI impact map in your company
- How to formulate prompts (prompt engineering)
- Types of prompts: informational, role-based, contextual, strategic
- Prompt structures for business tasks
- Prompt chains, instructions, templates
- How to check the accuracy and quality of results
Practical session: creating your own set of “smart” prompts for the team’s tasks
- How to make ChatGPT or Claude your assistant
- Copilot for Microsoft 365 / Google Workspace
- Automation of routine tasks: emails, reports, analytics
- AI-based knowledge management systems
- How to use AI for learning and development
Practical session: creating a personal “AI assistant” in your field
- Analytics with LLM: data processing, summarization, generalization
- Generation of reports, visualizations, presentations
- Data-to-Insight: how to turn data into management decisions
- Integration of AI with Excel, Google Sheets
Practical session: creating a dashboard or AI report for your process
- Key stakeholders in work
- Generation of texts, visuals, presentations, reports
- AI for internal communications
Practical session: creating an AI communication plan
- AI in recruitment, evaluation, and learning
- Personalization of employee development through AI
- AI in performance management
Practical session: creating an AI assistant for HR or Team Lead
- Integration of AI into processes (AI-driven workflows)
- How to combine AI with RPA, Zapier, Make
- Task automation: approvals, reports, customer support
- AI agents that act instead of people
Practical session: creating an automation scenario with AI
- Using AI for SWOT, PESTEL, competitive analysis
- AI in product or business strategy development
- Role scenarios: strategist, analyst, facilitator
- How to assess the reliability of AI forecasts
Practical session: building an AI “strategic advisor” model
- What an AI agent is and how it works
- Agent constructors
- How to make AI solutions part of corporate processes
Practical session: creating a prototype of your own AI agent
- How to launch an AI project in a company
- Defining value and ROI
- Change management and AI culture
- Building an AI ecosystem and ethical framework
Practical session: AI roadmap for your department
After completing the course, participants:
- possess practical skills in working with AI tools;
- know how to build AI assistants, agents, and automation scenarios;
- can integrate AI into their processes and teams;
- can assess the effectiveness and risks of AI use;
- are able to initiate AI projects in their departments.
Education provides
