AI Tools & Plattformen
Master AI tools and platforms instead of just using them. From the first prompt idea to fully automated MLOps pipelines—our courses prepare you and your team for the most productive era of the professional world.
Get hands-on with your preferred AI Tool
AI tools only deliver their full value when they are applied correctly and integrated professionally. In our courses, you will learn how to use tools like ChatGPT, Copilot, or Creative AI with precision and connect them with platforms like Azure AI, AWS, or Vertex AI to create scalable, secure workflows—practical and application-oriented.
What are AI Tools & Platforms?
AI tools are your specialists for the moment – they provide immediate support for writing, designing, or coding. However, it is only through platforms that these tools become a stable ecosystem. This is where you connect data and models to create automated workflows. We show you how to master both worlds: from targeted application to professional infrastructure.
What Categories of AI Tools Exist?
- Chat & Assistance: Use ChatGPT, Claude, or Google Gemini to draft copy and answer complex questions.
- Creative Content: Create high-quality text, images, and videos with Jasper, Midjourney, or Firefly.
- Audio & Multimedia: Generate lifelike voices and audio clips with ElevenLabs.
- Knowledge & Organization: Structure information in Notion AI or Obsidian and find results in seconds.
- Marketing & Social Media: Optimize your ads and analytics with specialized SEO tools and campaign managers.
- Smart Coding: Use Microsoft Copilot or GitHub Copilot as your personal partner in code generation.
Why Master AI Tools?
Around two-thirds of companies view AI as strategically important. AI relieves the burden of routine tasks, delivers real-time analytics, and accelerates creative processes. Those who master these technologies gain time for innovation and secure a competitive edge in the job market.
How Do You Choose a Platform?
Consider the features the solution offers (e.g., multimodal processing) and whether it can handle unstructured data. Evaluate how well the platform integrates into existing systems and if it scales with your team. Transparent pricing and a realistic implementation effort are crucial to ensure a solid ROI. Equally relevant are security, data protection, compliance, as well as the provider's reputation and support.
Required Skills and Integration
Many entry-level tools require no coding. They demonstrate how to craft prompts, automate workflows, and analyze data. For more advanced projects, Python skills or statistical knowledge can be beneficial. Modern platforms offer APIs and connectors, allowing you to embed chatbots into service portals, integrate generative models into creative software, or process data from BI systems.
Responsibility and Trends
As usage increases, so do the requirements for data protection and ethical handling. Learn to identify biases and communicate transparently about data processing.