AI training to the company

Check out our AI trainings for business, covering everything from developing custom GPT models and applying ChatGPT to applications, to leveraging AI automation to streamline processes. Our training courses will teach you how to put AI technologies into practice and how they can change your industry and your job.

AI training

We will guide you through the basics of AI and its potential applications, ensuring that you understand how to use AI effectively in your business.

ChatGPT commands

Teach your team how to use ChatGPT to improve customer service, content production and many other functions to stand out from the competition.

Artificial Intelligence Automation

We develop solutions that automate repetitive tasks and processes with AI, improving your business efficiency and competitiveness.

AI training Price

AI Basic Training: the Beginner's Path

Duration: 2 hours

Participants: 1-3 people

Content:

Introduction to AI: Fundamentals and key concepts.
Exploring the AI technologies of your choice.
Training in the basics of AI and practical exercises.
Presentation of AI solutions suitable for your business.
Training materials are included in the price.

Price 590€

Artificial Intelligence Boost: Practical Workshop

Duration: 3 hours

Participants: 4-10 people

Content:

An introduction to the potential of artificial intelligence.
Exercises to discover potential and training in company-specific AI.
Sharing and exploiting different AI systems.
Implementing and customising AI automation for your business.
Comprehensive training materials are provided.

Price 1190€

AI Custom: Fully customised training

Customised content: the service is fully customised to your needs.

Participants: number to be agreed.

Content:

Training is fully customisable, but there are different uses.
Help with GPT-4 and its extensions.
How to integrate the OpenAI API into systems
Designing AI strategies for marketing, sales and project management.

Please contact offer

Book free of charge consultation

Frequently asked questions on AI training

What are the benefits of AI training?

AI training has many benefits that affect different areas of the business. Here are the main benefits:

Efficiency and productivity: training will help you understand how to automate routine tasks with AI, freeing up your employees’ time for more strategic and value-creating tasks.
Improved customer service: AI enables the development of virtual assistants and chatbots that provide continuous and tailored service, improving the customer experience.
More personalised marketing: the training will teach you how to use AI to analyse customer data and create targeted recommendations, deepening customer relationships and making marketing campaigns more effective.
More accurate forecasting: AI improves the accuracy of forecasting, for example in inventory management and market trends, helping businesses to plan more effectively for the future.
Quality control: Real-time production monitoring and rapid detection of quality problems is possible with AI, which will improve production quality.
Cost-effectiveness: introducing AI into processes saves costs by reducing manual work and errors.
Competitive advantages: the management and use of AI gives companies an advantage over their competitors, as they are able to adapt to rapidly changing market conditions.
New business opportunities: AI can be used to create new services and products that open up new revenue streams and business opportunities.
Risk management: predictive analytics and AI-driven risk management reduce the risks associated with a company’s operations.
Customer satisfaction: faster service and a better customer experience increase customer satisfaction and loyalty.

AI training equips the organisation’s employees with the skills and knowledge necessary to use AI effectively and innovatively across different business areas.

What can AI be used for?

AI is widely used in a wide range of fields and applications, improving efficiency, accuracy and innovation. Here are some key areas of use:

Industry: through automation and process optimisation, AI improves the efficiency of production lines and reduces errors.
Marketing: targeted advertising campaigns and analysis of customer behaviour help businesses to better understand consumers and improve marketing strategies.
Data mining: powerful data analysis and processing, revealing hidden patterns and trends in large data sets.
Voice recognition: voice-activated assistants, such as smart speakers and phone assistants, that make using devices more convenient.
E-learning: personalised learning experiences and automated assessment tools that adapt to the student’s learning pace.
Design and problem solving: automatically analysing complex problems and generating solution proposals.
Games: intelligent game characters and realistic game environments that enhance the user experience.
Medicine: diagnostic tools, personalised healthcare plans and surgical robotics that improve patient care.
Financial sector: automated trading, fraud detection and risk management to improve the efficiency of financial operations.
Transport: self-driving cars and smart logistics solutions that improve transport safety and efficiency.

AI offers significant benefits and opportunities across sectors, improving speed, accuracy and efficiency.

What are the different types of generative AI?

Generative AI models have developed significantly in recent years, and many large technology companies have developed their own models. These models can produce new content, such as text, images and music, mimicking human creativity and intelligence. Here are examples of some of the well-known generative AI models:

OpenAI GPT (Generative Pre-trained Transformer):
- The GPT series, including GPT-2, GPT-3 and most recently GPT-4, are highly advanced text-generating models capable of producing targeted and understandable text for a wide range of applications.
Anthropic Claude:
- Anthropic has developed the Claude model, which is designed to be a safer and more ethical alternative to text-generating AI. Claude focuses on providing understanding and explanations, aiming to reduce misuse and improve the user experience.
Google Gemini:
- Gemini is a model developed by Google that focuses on understanding and producing speech and language. Gemini uses advanced machine learning to understand and produce natural and contextually relevant speech.
Stable diffusion:
- Stable Diffusion is an image generation model that can create detailed and visually striking images based on user descriptions. The model is popular with artists and designers.
DALL-E:
- DALL-E, developed by OpenAI, is another example of an image-generating AI that can create complex images and artworks from text descriptions.

These models represent the cutting edge of AI in generative content creation, ranging from text and speech to the creation of images and music, providing tools for extending creativity and automated production of new types of content.