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Duration 14 hours
Course Outline
Foundations of Devstral and Coding Agents
- Insight into the Devstral architectural structure
- Application of agentic AI principles in software engineering
- Real-world use cases for coding agents
Preparing the Development Workspace
- Installation and configuration of Devstral
- Synergy with Python and Git-based workflows
- Enhanced IDE support via Visual Studio Code
Architecting Coding Agents
- Specifying agent responsibilities and capabilities
- Structuring workflows for code navigation and refactoring
- Strategies for error management and rollback
Connecting Tools and APIs
- Linking agents to essential developer utilities
- Integrating APIs for third-party services
- Implementing automation patterns through coding agents
Implementing Agentic Workflows
- Exploring codebases and generating documentation
- Assisting with automated refactoring and testing
- Fostering collaborative coding with AI agents
Security Standards and Best Practices
- Establishing safe execution environments
- Managing access controls and permissions
- Tracking and logging agent activities
Expanding and Sustaining Coding Agents
- Rolling out agents across various teams and projects
- Maintaining and refining agent workflows
- Driving continuous improvement via feedback mechanisms
Wrap-up and Future Directions
Requirements
- Solid proficiency in Python
- Practical experience with software development cycles
- Knowledge of API interactions and code integration
Target Audience
- Machine Learning Engineers
- Developer Tooling Teams
- SREs focused on enhancing developer experience
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
