Kurse
18723 Kurse
AI for Sales
Learn how to use Claude for everyday work tasks, understand core features, and explore resources for more advanced learning on other topics.
Accélérer le développement d'applications avec Gemini CLI
Dive into AI-powered robotics using ROS 2, Python, and OpenCV to build intelligent robots with neural networks, computer vision, and natural language processing capabilities.
Introduction to Agent Skills
Learn how to use and create sub-agents in Claude Code to manage context, delegate tasks, and build workflows that keep your conversation clean and focused.
Claude Code 101
Learn how to build, configure, and share Skills in Claude Code — reusable markdown instructions that Claude automatically applies to tasks at the right time.
5G & 6G Technologies/Design QoS Slices & 6G Handover Flows
Explore advanced AI applications in business, creativity, and development—covering coding tools, chatbots, personalized customer experiences, digital marketing, and building custom Microsoft Copilot agents.
Work with Gemini Models in BigQuery
Explore 5G network slicing performance evaluation and 6G AI-enhanced handover design, building skills to validate QoS differentiation and model future mobility workflows using sequence diagrams.
Introduction to Subagents
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.
Fundamentals of FinTech
Explore the fundamentals of FinTech, covering cloud finance, big data, AI, and blockchain, while building risk compliance awareness and practical skills for cross-border digital financial services.
AI for Consulting
Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.
Microsoft AI-Powered Sales & Relationship Management
Master AI-powered sales skills using Microsoft Copilot, Dynamics 365, and Power BI to enhance prospecting, CRM integration, and customer relationship management for modern sales operations.
Responsible AI
Explore the principles of Responsible AI, covering fairness, bias mitigation, explainability, and governance frameworks aligned with EU AI Act and NIST standards to build trustworthy AI systems.