Building Coding Agents with Devstral: From Agent Design to Tooling Training Course

This advanced training on Norway focuses on GitHub Copilot and AI applications for corporate infrastructure. It empowers managers to enhance project management, simplify workflows, and improve decision-making through AI tools, with a specific emphasis on large-scale projects.

This instructor-led training in Norway enables advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions for enterprise workflows.

This instructor-led, live training in Norway (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.

By the end of this training, participants will be able to:

• Customize GitHub Copilot for specific project needs and team workflows.
• Leverage advanced features of Copilot for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-powered tools.
• Manage and troubleshoot Copilot settings and permissions effectively.

This instructor-led, live training in Norway (available online or on-site) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance standards.

This live, instructor-led session—delivered either online or onsite—targets intermediate software developers looking to enhance their productivity and code quality through AI-assisted coding with Cursor.

Upon completion, participants will be equipped to:

• Set up and configure Cursor for AI-enhanced software development.
• Connect Cursor with Git repositories and established development workflows.
• Generate, debug, and refine code using natural language inputs.
• Harness AI capabilities to streamline refactoring, documentation, and testing processes.

This instructor-led training in Norway presents Cursor as an AI-powered environment aimed at accelerating data and ML workflows. Through practical exercises, participants will learn to optimize notebook development, ETL pipelines, and model operations, thereby enhancing overall productivity and operational consistency.

This instructor-led course in Norway guides developers in adopting Cursor, an AI-enhanced editor that improves productivity through smart completions and contextual editing. Learners develop practical skills in refactoring, securely reviewing AI suggestions, and team collaboration to optimize workflows.

This live, instructor-led training in Norway supports teams in integrating Cursor to optimize collaboration and code reviews. Participants will learn to manage workspaces, automate AI-assisted PRs, enforce governance policies, and link Cursor to CI/CD pipelines for consistent quality.

This live, instructor-led training in Norway (online or onsite) targets beginner to intermediate developers who want to learn how to effectively leverage GitHub Copilot’s capabilities within contemporary development workflows.

This instructor-led, live training in Norway (online or onsite) targets intermediate to advanced participants aiming to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

By the end of this training, participants will be able to:

• Configure GitHub Copilot for team-based environments.
• Apply Copilot to improve collaborative coding practices.
• Enhance team workflows through Copilot’s capabilities.
• Oversee Copilot’s integration in projects involving multiple developers.
• Uphold uniform code quality and standards across the team.
• Harness advanced Copilot features tailored to team requirements.
• Integrate Copilot with other collaborative tools to boost efficiency.

This instructor-led, live training in Norway (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.

By the end of this training, participants will be able to:

• Install and set up Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to speed up coding.
• Customize Tabnine's settings for optimal assistance.
• Understand how Tabnine's AI learns from their code to provide better suggestions.

This instructor-led, live training in Norway (online or on-site) is aimed at advanced-level developers and team leads who wish to master advanced features of Tabnine.

By the end of this training, participants will be able to:

• Implement Tabnine in complex software projects.
• Customize and train Tabnine's AI models for specific use cases.
• Integrate Tabnine into team workflows and development pipelines.
• Enhance code quality and accelerate development cycles using Tabnine's insights.

This instructor-led, live training in Norway (online or onsite) is tailored for developers of all skill levels, from beginners to experts, who wish to harness AI for code generation using Tabnine.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of AI-powered code generation.
• Install and configure Tabnine within their development environment.
• Apply Tabnine for efficient code completion and error correction.
• Develop and train custom AI models with Tabnine to address specialized tasks.

This instructor-led live training in Norway (online or onsite) is designed for intermediate-level Python developers and data scientists aiming to boost their productivity through Tabnine.

By the end of this training, participants will be able to:

• Install and configure Tabnine in their Python development environment.
• Use Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine's behavior to suit their coding style and project needs.
• Understand how Tabnine's AI model functions specifically with Python code.