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Schulungsübersicht
Advanced GitHub Copilot Functionalities
- Deep dive into Copilot’s advanced features
- Customization and configuration for corporate use
- Extending Copilot with plugins and integrations
Maximizing Productivity with Copilot
- Strategies for accelerating development workflows
- Copilot in code review, refactoring, and testing
- Ensuring compliance, security, and governance with AI-assisted coding
Copilot in Large-Scale Corporate Projects
- Case studies from enterprise-level projects
- Collaboration across multidisciplinary teams
- Integrating Copilot into DevOps and CI/CD pipelines
AI in Corporate Environments
- Advanced introduction to AI for enterprises
- AI adoption strategies for managers
- Key benefits and limitations of AI-driven tools
AI for Infrastructure and Software Optimization
- AI-assisted acquisition and management of software and servers
- Resource allocation and predictive maintenance
- AI-driven monitoring and scaling strategies
AI in Project Management
- AI for planning and scheduling optimization
- Automating man-hour estimation and reporting
- Predictive analytics for project risk management
AI Integration with Technological Infrastructure
- Use of AI in cloud and hybrid infrastructures
- AI for network and systems optimization
- Security and compliance considerations
Industry-Specific Applications: Oil and Gas
- AI for project planning and resource allocation in oil industry
- Infrastructure optimization in energy environments
- Practical case studies and demonstrations
Summary and Next Steps
Voraussetzungen
- Basic knowledge of GitHub Copilot
- Understanding of software development workflows
- Familiarity with corporate IT or project management environments
Audience
- Managers and team leads
- Project managers in technology-driven environments
- IT managers overseeing infrastructure and software initiatives
14 Stunden
