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
What Will Graduates Gain?
The problem this course solves
Program
- 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
FAQ
Many professionals and managers know about the existence of AI, but do not understand how to apply it for analytics, automation or decision-making, which leads to a waste of time and resources. The course helps to implement modern tools in business processes, reduce routine and increase overall work efficiency.
You will learn to work with Generative AI, LLM, Copilot and autonomous agents. The program covers prompt engineering, integration of AI in Excel/Google Sheets, automation of business processes through Zapier/Make, and building your own AI agents. You'll also develop a personalized AI roadmap for your division.
The training lasts 15 hours and consists of 10 interactive online classes. The format includes working with real cases, workshops and practical sessions during which you will create your own solutions. Throughout the course, participants receive constant support in a closed chat.
You will learn how to create AI assistants, automate team work and develop AI strategies. To implement modern technologies in your company and get ahead of the competition, just click the "Apply" button on the course page.
Education provides
