AI Tools in Professional Practice

In this three-week program, your team will gain deep understanding of AI language models and master their practical application in professional workflows. You'll learn how ChatGPT, Claude, and other AI tools actually work, their capabilities and limitations, and develop reliable strategies for their implementation.
Key focus areas:
  • AI models' capabilities
  • Prompt engineering
  • Data Processing & Analysis
  • Verification, safety and quality control practices
  • Documentation, production and reporting workflows
  • Team collaboration frameworks
By program completion, your team will not only understand how to use AI tools effectively but will be able to implement reliable, AI-powered workflows for your core business processes, ensuring both safety and quality of output.

Course Content

The course consists of two parts:
Week 1: AI Capabilities Understanding & Foundation
Participants gain an understanding of LLMs and which types of queries (prompts) are suitable for their specific work tasks. A shared group prompt library is created, which everyone can contribute to over the following weeks.
Along with applied prompt engineering, during the first week participants will have time to familiarize themselves with the interfaces and basic functionality of GPT and Claude.
Key focus areas:
  • LLM capabilities and limitations in professional context
  • Prompt engineering fundamentals
  • Building reliable validation workflows
  • Creating your organization's best practices
Weeks 2-3: AI in Practice | Core Program
Building on foundational understanding of LLMs your team selects focus areas based on specific needs and priorities.
Implementation Areas & Focus Options
The following modules are available - we'll concentrate on the areas most relevant to your team.
Choose Your Implementation Focus:

1.  Text & Documentation

• Advanced content creation and editing
• Business correspondence automation
• Document preparation and content production
• Efficiency in multi-language communication

2. LLM Features

• Model selection and optimization
• Custom GPT development and deployment
• Memory management
• Voice interface integration

3. Data Processing & Analysis

• Data analysis and visualization techniques
• Information verification
• Hypothesis testing and validation
• Strategic research enhancement

4. Security & Ethics

• Confidentiality protocols
• Information reliability assessment
• Corporate guidelines development
• AI-Technology adoption strategies

5. Team Collaboration

• Collaborative workflow optimization
• Knowledge sharing and feedback
• Process automation
• Team coordination frameworks
* Program Customization
Each team customizes their learning path by selecting 2-3 focus areas and up to 6 practical topics for deep-dive implementation. Theoretical modules are designed and delivered by tutors based on the team's initial AI knowledge and group needs.

Our Approach

We use a dynamic learning methodology that balances structured guidance with practical experience. Theory sessions are short and focused, immediately followed by hands-on practice with real business cases. This approach helps teams develop both shared understanding and sustainable AI implementation skills - crucial in the rapidly evolving landscape of AI tools and capabilities.
Methodology
We employ the Kaospilot approach, paying close attention to coherent methodological materials and hands-on practice during sessions. We aim to engage participants and avoid having the lecturer on “centre stage” for too long, interspersing theory with practical exercises. We strive to help the group develop a shared language regarding AI and to reflect on their own AI-related practices, ensuring the skills remain useful even as today’s applied AI tools evolve (which happens very quickly).
Course Instructors
  • Stanislav Lvovsky: Poet, historian, researcher
    Doctoral student at the University of Oxford, graduated from Moscow State University and Shaninka (Master’s in public history). Before his academic career, he worked in advertising, cultural management, and journalism. Currently a postdoctoral researcher at the University of Helsinki
  • Vadim Novikov: Researcher, lecturer, columnist
    Graduated from the Higher School of Economics with a Master’s in Economics, and from the University of Manchester with a Master’s in Commercial Law. An assistant professor at the AlmaU School of Entrepreneurship and Innovation
  • Zlata Ponirovskaya: AI-Adoption facilitator, Head of Prague School Media
Toolbox
Recommended by the school, a list of tools and platforms for which our course instructors provide guidance and consultation:
  • Diffusion-Based Image and Video: Fal.ai, Сivitai, ComfyUI, Midjourney, Stable Diffusion, Flux, Runway, PikaLabs, Kling, Sora
  • Language Models (LLMs): Claude, GPT-o1, GPT-4.0, Gemini
  • Research Tools: Perplexity, Research Rabbit, Consensus, iAsk
  • Personalisation and Automation: Custom GPTs, API Assistants, Fine Tuning
  • Cloud GPU: Google Colab for most tasks; Runpod, Rundiffusion for heavier loads
  • Generative Music Platforms: Suno, Udio
  • Multimodality: Whisper for voice-to-text, Speaker diarisation  model - Pyannote; Text-to-voice, voice-cloning, dubbing: ElevenLabs

Program Outcomes

Individual Competencies:
  • Prompt engineering expertise
  • Deep understanding of AI-tools landscape and models capabilities
  • Process optimization using language models‍
  • AI-enhanced problem-solving techniques
Team Benefits:
  • Shared understanding of AI capabilities and limitations
  • Collaborative AI workflows and knowledge base
  • United approach to AI safety and ethics
  • Sustainable practices for continued AI adoption
Course Format & Deliverables
A three-week intensive course of six online sessions and ongoing group support, designed for teams of up to 30 participants. You'll leave with a comprehensive AI implementation package: custom prompt library, proven workflow templates, team adoption guidelines, and a practical integration roadmap.

Course Price

Request a Custom Quote

Contact us

Ready to take your business to the next level? Contact us today to discuss how we can help you succeed.

Email

We are here to help.
info@pragueschool.media

Phone

Zlata Ponirovskaya
+447751674250
pragueschool.media
2025