Master AI and extend your lead

Description

Gain practical AI knowledge in 8 hours that you can apply at work straight away. From prompt engineering to AI ecosystems to the innovation process: you do not just learn the theory, you run an LLM locally yourself, play AI buzzword bingo and develop a real business case in group work. No technical background needed, with a direct link to your work and a responsible approach to AI.

Tools & Technologies

• Prompt Engineering (Basics to Advanced)
• ChatGPT & Claude
• Microsoft Copilot
• Perplexity
• Midjourney
• FigJam AI
• Agentic Browser
• NotebookLM
• Local LLM execution (practical demo)

Target audience

• Working professionals without technical background who want to use AI practically
• Career changers into the AI world who need solid knowledge
• Specialists and executives who want to develop AI strategies
• Entrepreneurs and self-employed people who want to use AI for innovation

Trainers

Maxim Babarinow, Ralitsa Popova

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A

Description

Visible. Authentic. Booked. This is not a standard training but a concept proven in practice that lets you put new ideas to work directly. The focus is on proven methods for prospecting and winning new customers, always matched to your style and your audience's needs. You learn to handle objections with confidence and build lasting customer relationships. Role simulations, feedback rounds and individual action plans make the learning stick. Includes access to AI role plays for practice after the workshop.

Tools & Technologies

• AI role-play platform for sales training
• DiSC model (customer typology)
• Highway2Sales method
• Systemic questioning techniques
• Linked strategies for visibility
• Website positioning for coaches

Target audience

• Coaches and trainers
• Mediators and consultants
• Solo entrepreneurs who want to communicate their offer more successfully
• Sales professionals
• Entrepreneurs with customer contact

Trainers

Marco Schulz

Format

Live-Online or In-Person Training + Role simulations and feedback rounds + Individual implementation plans + AI role-play access for continuous training + Optional: Individual coaching (€250/h) approx. 2 weeks after training

Description

Create professional content for all media formats with AI support. In this practice-oriented training, you will learn how to create texts, images, videos and audio content with AI tools that strengthen your brand and reach your target audience. From idea generation to final publication: You master complete content workflows and learn how to consistently implement brand voice and keep legal aspects safely in view.

Tools & Technologies

• ChatGPT & Claude (Text Creation)
• Midjourney, DALL-E & Stable Diffusion (Image Generation)
• RunwayML & Synthesia (Video Content)
• ElevenLabs & Murf (Audio Production)
• Canva AI
• Copy.ai & Jasper
• NotebookLM (Content Research)

Target audience

• Content creators and content managers
• Marketing professionals and social media managers
• Communication managers and PR experts
• Self-employed and entrepreneurs with content needs
• Editors and journalists

Trainers

Maxim Babarinow, Ralitsa Popova

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A

Description

The training provides solid knowledge and practical methods for using AI in the development process. Participants learn how code assistants, automated analysis and APIs speed up and improve their own work. The focus is on efficient prompt engineering and practical workflows for higher quality and output.

Tools & Technologies

• JSON Prompting
• Cursor IDE
• GitHub Copilot
• OpenAI API
• LangChain
• RPA
• Make.com

Target audience

• Software developers of all experience levels
• Technical leads and architects
• DevOps engineers and system administrators

Trainers

Maxim Babarinow, Ralitsa Popova

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A

Description

Turn Copilot into measurable value rather than another AI experiment. Across two intensive hands-on days, you will connect GitHub Copilot across the software lifecycle with Microsoft Copilot Studio for secure, action-oriented enterprise agents. You will work on a real use case, validate AI output systematically and build governance directly into the solution. You leave with reusable prompt and instruction templates, a tested agent prototype, a quality and governance checklist, and a concrete 30-day adoption plan for your team.

Tools & Technologies

• GitHub Copilot (VS Code / Visual Studio)
• GitHub (Repositories, Pull Requests & Code Review)
• Microsoft Copilot Studio
• Microsoft Power Automate / Agent Flows
• Microsoft Teams & Microsoft 365 Copilot
• SharePoint & knowledge sources
• Power Platform Admin Center (Governance & Analytics)

Target audience

• Software developers and engineering leads
• Power Platform makers, functional consultants and solution architects
• IT, automation and digital workplace teams
• AI champions, enablement leads and technical product owners

Trainers

Ralitsa Popova

Format

Live online or in-person training + Guided hands-on labs + Cross-functional pair exercises + End-to-end capstone with expert review + Prompt, quality and governance templates + Deep-dive Q&A

Description

Develop intelligent agent systems that can autonomously execute complex tasks. In this practice-oriented training, you will learn how to develop robust, scalable agent systems with LangGraph and modern agent frameworks. From basic architecture to state management to production deployment: You master all aspects of agent development and implement your own agent projects that automate real business processes.

Tools & Technologies

• LangGraph (Workflow Orchestration)
• LangChain (Agent Framework)
• OpenAI API (GPT-4, GPT-4 Turbo)
• Anthropic API (Claude)
• Tavily (Web Search)
• Code Interpreter (Python Execution)
• Vector Stores (Pinecone, Weaviate)
• LangSmith (Monitoring & Debugging)
• Docker & Kubernetes (Deployment)

Target audience

• Software developers with experience in Python and AI APIs
• Technical leads and architects who design agent systems
• ML engineers who develop agent-based solutions
• Backend developers who build automated workflows

Trainers

Maxim Babarinow, Ralitsa Popova

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A

Description

This training is for leaders who want to use artificial intelligence as a strategic lever. The goal is to shape company-wide AI initiatives effectively, implement them safely and bring people along. Because leaders face very different challenges, the training includes three 1:1 coaching sessions for solutions tailored to your situation.

Tools & Technologies

• Microsoft Copilot
• Claude
• Agentic AI
• ROI Calculator
• NotebookLM
• EU AI Act
• NIST AI Framework

Target audience

• C-Level executives, department and team leaders
• Product managers
• Innovation and transformation managers

Trainers

Maxim Babarinow, Ralitsa Popova

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A + 1:1 Coaching

Description

This training is for leaders, subject matter experts and project owners in insurance who want to use artificial intelligence strategically, technically and within regulation. You learn to integrate AI into business processes, ensure compliance and lead the change to a data-driven insurer. Each module combines expertise, industry examples and interactive exercises. Optional 1:1 coaching helps you apply it to your own projects.

Tools & Technologies

• Microsoft Copilot
• ChatGPT / Claude
• Explainable AI Tools (LIME, SHAP)
• Knowledge Graph Frameworks
• AI Project Canvas
• EU AI Act & GDPR Frameworks

Target audience

• Executives and managers in insurance companies
• Data and risk managers
• Product and project managers
• Compliance, governance and data protection officers

Trainers

Norman Krüger

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A + 1:1 Coaching

Description

Build automation pipelines that integrate AI models into your business processes. In this hands-on training you learn to automate complex workflows with Make.com and AI models, from data processing and content generation to lead management. Suitable for all-rounders: you do not need a deep technical background, and developers also benefit from advanced integration techniques. You build your own pipelines and put them to work right away.

Tools & Technologies

• Make.com (Workflow Automation)
• ChatGPT API (OpenAI)
• Claude API (Anthropic)
• Webhooks and API Integration
• Database Connectors (Airtable, Google Sheets)
• Email and CRM Integration (HubSpot, Salesforce)
• Error Handling and Retry Logic
• Monitoring and Logging Tools

Target audience

• All-rounders and generalists who want to automate processes
• Business analysts and process optimizers
• Marketing and sales professionals who automate workflows
• Software developers who use no-code/low-code automation
• Project managers and operations teams

Trainers

Maxim Babarinow, Ralitsa Popova

Format

Live-Online or In-Person Training + Interactive Group Work (AI Buzzword Bingo, Innovation Process) + Practical Exercises (Local LLM Execution) + Deep-dive Q&A