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

This advanced training in Sweden focuses on GitHub Copilot and AI applications for corporate infrastructure. It empowers managers with the skills to optimize project management, streamline workflows, and improve decision-making through AI tools, with an emphasis on large-scale projects.

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

This instructor-led, live training in Sweden (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 Sweden (online or onsite) is aimed at 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.

This instructor-led, live course (available online or on-site) targets intermediate-level software developers aiming to improve productivity and code quality through AI-assisted coding with Cursor.

Upon completion of this training, participants will be able to:

• Set up and configure Cursor for AI-assisted software development.
• Integrate Cursor with Git repositories and development workflows.
• Use natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, documentation, and testing.

This instructor-led session in Sweden presents Cursor as an AI-driven environment intended to accelerate data and ML processes. Participants will master the techniques to optimize notebook development, ETL pipelines, and model operations through practical exercises that enhance both productivity and operational consistency.

This instructor-led training in Sweden guides developers in adopting Cursor, an AI-powered editor that enhances productivity through smart completions and contextual edits. Participants develop hands-on skills in refactoring, safely reviewing AI suggestions, and fostering team collaboration to optimize workflows.

This live, instructor-led training in Sweden empowers teams to integrate Cursor for streamlined collaboration and code reviews. You will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and link Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to learn how to utilize the capabilities of GitHub Copilot effectively within modern development workflows.

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

Upon completing this training, participants will be equipped to:

• Configure GitHub Copilot for team environments.
• Employ Copilot to strengthen collaborative coding practices.
• Enhance team workflows utilizing Copilot’s capabilities.
• Oversee Copilot’s integration within multi-developer projects.
• Ensure consistent code quality and standards across teams.
• Utilize advanced Copilot features tailored to team-specific requirements.
• Integrate Copilot with other collaborative tools for greater efficiency.

This instructor-led, live training in Sweden (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 Sweden (online or onsite) is designed for advanced developers and team leads who want to master the 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 Sweden (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.

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

• Understand the basics of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Utilize Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialized tasks.

This instructor-led, live training in Sweden (online or on-site) is aimed at intermediate Python developers and data scientists who wish to enhance their productivity with the aid of 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 fit their coding style and project needs.
• Understand how Tabnine's AI model works specifically with Python code.