Artificial Intelligence in Your Company

— what, where, how, and why?

Training objective:

This training is designed for companies that want to become “AI-driven” but often don’t know what that entails, what it means in practice, what they can do, and what the real limitations are. We’ll cover both the potential and the challenges of AI adoption. We will debunk myths and misconceptions so participants can approach the topic with a realistic, critical mindset.

The goal is to introduce participants to the world of artificial intelligence (AI) and show how a variety of AI methods and tools can be applied in the context of their company. Through presentations of available technologies, a discussion of their pros and cons, and hands-on demonstrations, participants will better understand AI’s potential and make informed decisions about implementation.

Training overview:

Artificial intelligence is not just a buzzword but a real tool that can transform how companies operate. In recent years AI has revolutionized many industries—from healthcare to marketing—creating a flood of information where it’s hard to separate facts from hype and experts from the unqualified. Our training is designed and delivered by an expert with experience building AI models for businesses and published academic work in this field. This ensures the content is valuable, thoroughly verified, and up-to-date.

Training structure:

1. Introduction to AI

• Core concepts and the history of AI.
• Current trends and directions.

2. AI applications in the company

• Case studies: Examples of companies from different industries that have successfully implemented AI.
• Application areas: Marketing, sales, customer service, logistics, HR, and more.

3. Overview of AI tools and technologies

• For each technology below we will cover:
  • Tool description and use cases
  • Available models and APIs
  • Licensing and data requirements
  • Pros and cons
  • Business examples
  • Live demo or a guided walkthrough
• Interactive sessions: Participants will have the opportunity to test selected tools themselves
• Language-model APIs (ChatGPT, Mistral, Meta, Copilot)
  • Use cases: Drafting, expanding, editing, and translating text; generating reports; coding assistance
• Realistic video generation (HeyGen, Arcads, Icon)
  • Use cases: Creating marketing assets, product presentations, training videos
• Business photo generation (Aragon.ai, Dreamwave)
  • Use cases: Quickly creating professional employee photos
• AI product photo generation for e-commerce (Pebblely, Pixelcut.ai, CreatorKit)
  • Use cases: Product visualization before manufacturing; studio-quality photos without an expensive setup
• Voice generation (Elevenlabs, Bland.Ai, Cartesian)
  • Use cases: Narration for materials; automated call-center/IVR
• Photo-to-3D models (Meshy, Deemos)
  • Use cases: Creating 3D product models for online stores
• Copywriting and ad-text generation (copy.ai, Jasper)
  • Use cases: Writing marketing copy and product descriptions
• Music generation (Suno.ai)
  • Use cases: Creating music beds for promotional materials
• A language model fine-tuned specifically for the company
  • Use cases: Personalized internal and external communication; a chatbot familiar with company materials
• Entity extraction, relation extraction, unstructured text → knowledge graph
  • Use cases: Document analysis; knowledge management by linking concepts and meanings
• Anomaly detection
  • Use cases: Detecting irregularities in financial or logistics data
• Forecasting
  • Use cases: Sales forecasting; customer behavior prediction
• Image analysis
  • Use cases: Product quality control; visual material analysis; face recognition

4. Group exercise: Applying AI in our company

An interactive block where participants work on their own processes. In a short session we turn bottlenecks into concrete ideas for automations and AI assistants.

• Flow:
  • Identify problems or challenges within the company
  • Match suitable AI technologies to the listed problems
  • Analyze potential benefits and risks
  • Present results: Each group shares its conclusions

5. Wrap-up and discussion

We finish with concrete next steps. We set priorities and translate conclusions into an implementation plan.

• Key takeaways: Highlighting the most important points of the training
• Action plan: Steps the company can take to implement AI
• Q&A session: Answers to participants’ questions

After the training, you will receive a concise PDF summary with recommendations and templates (checklists, a use-case canvas, and a mini pilot plan) so you can start testing with your team right away.

You’re invited: