AI TRAINING

Customised training on the topic of artificial intelligence in corporate use

GENERATIVE AI IN BUSINESS: Understanding, applying, profiting

Given the rapid progress in AI technology, it’s easy to lose track. With our training course ‘Generative AI in corporate use: understanding, applying, benefiting’, we help you to keep pace. Together, we will demystify the concept of AI and provide an insight into the current state of the art. Through a combination of theoretical introduction, practical examples and active exercises, we support you in establishing AI as an effective tool in your day-to-day work. We prepare you and your team to face the challenges and opportunities of AI technology with confidence.

OBJECTIVE

The training will provide you with the necessary basic skills and knowledge to use generative AI as an effective tool in your day-to-day work. A basic understanding of the mechanisms behind AI technology and sensitisation to its potential and risks should help you to use generative AI tools responsibly and purposefully.

Possible concerns and fears that are often observed when dealing with AI are alleviated. The combination of theoretical understanding, practical examples, lively discussions and initial application experience not only helps you to understand the technology behind AI, but also provides you with the necessary skills for your first application. In this way, we can create the basis for an AI-affine culture in your working environment and optimally prepare you for future value creation processes that are intensively supported by AI.

TRAINING CONTENT

The training content is tailored to the needs of your company and your team. The following topics can be covered, for example

  • The role of generative AI in corporate use
  • Basic understanding of the technology and how generative AI models work
  • Differences and advantages of generative AI compared to classic machine learning algorithms
  • Sensitisation to the relevance and speed of AI development
  • Special features and safety aspects when using generative AI
  • Discussion of the effects of generative AI on working methods, teams, companies and customers
  • Introduction to the methods of prompt engineering
  • Presentation of practical applications of generative AI in everyday working life
  • Use of generative AI with company data to create value in the company context
  • Discussion of possible application scenarios for generative AI in the participants’ work and project environment

TARGET GROUP & REQUIREMENTS

The training is aimed at all employees who would like to gain a basic understanding of generative AI and its areas of application. No specific prior knowledge of artificial intelligence is required.

Optional: Access to an AI-based chatbot is an advantage for participation in the practical exercises. (for example: OpenAI ChatGPT, Google Bard)

YOUR POINT OF CONTACT

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We look forward to hearing from you!

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Imagine you have a chain of emails discussing a new feature or product enhancement. In traditional settings, the project manager or business analyst would painstakingly extract the requirements from these emails, a time-consuming task with the risk of oversight.

However, with the power of AI, tools like ChatGPT can efficiently and accurately extract these requirements from the unstructured text within the emails, minimizing human error and saving valuable time.

But the AI’s role extends beyond mere extraction. It can also suggest potential enhancements and additional features while identifying gaps based on past patterns and industry trends.

HOW TO KICKSTART YOUR SOFTWARE DEVELOPMENT PROJECT WITH AI ASSISTANCE

Imagine you have a chain of emails discussing a new feature or product enhancement. In traditional settings, the project manager or business analyst would painstakingly extract the requirements from these emails, a time-consuming task with the risk of oversight.

However, with the power of AI, tools like ChatGPT can efficiently and accurately extract these requirements from the unstructured text within the emails, minimizing human error and saving valuable time.

But the AI’s role extends beyond mere extraction. It can also suggest potential enhancements and additional features while identifying gaps based on past patterns and industry trends.

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