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

This advanced training on Italy covers the integration of GitHub Copilot and AI applications for corporate infrastructure. It empowers managers with the skills to optimize project management, streamline workflows, and enhance decision-making through AI tools, with a specific focus on large-scale projects.

This instructor-led training in Italy empowers advanced developers to excel in prompt engineering, fine-tuning, and custom tooling within the Cursor ecosystem. Learners will refine precise AI behaviors, connect internal knowledge bases, and construct secure, domain-adapted extensions optimized for enterprise workflows.

This instructor-led, live training in Italy (online or onsite) is designed for advanced participants who want to customize GitHub Copilot for team initiatives, exploit its advanced functionalities, and seamlessly integrate it into CI/CD pipelines to boost collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project requirements and team workflows.
• Utilize Copilot’s advanced features for tackling complex coding challenges.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Enhance team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

This instructor-led, live training in Italy (online or onsite) targets 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 live, instructor-led training, offered online or on-site, targets intermediate-level software developers aiming to improve productivity and code quality via AI-assisted coding with Cursor.

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

• Install and configure Cursor for AI-enhanced software development.
• Connect Cursor to Git repositories and streamline development workflows.
• Utilize natural language to generate, debug, and optimize code.
• Apply AI capabilities to refactoring, documentation creation, and testing.

This instructor-led training in Italy presents Cursor as an AI-powered environment designed to accelerate data and ML workflows. Through practical exercises, participants will learn to streamline notebook development, ETL pipelines, and model operations, thereby enhancing both productivity and operational consistency.

This guided live training in Italy assists developers in adopting Cursor, an AI-enhanced editor that elevates productivity through smart completions and context-aware edits. Learners will acquire practical skills in refactoring, secure evaluation of AI suggestions, and team collaboration to optimize their workflows.

This instructor-led, live training in Italy guides teams in integrating Cursor to enhance collaboration and streamline 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 Italy (online or onsite) targets beginner to intermediate developers who wish to learn how to effectively utilize GitHub Copilot's capabilities within modern development workflows.

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

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

• Configure GitHub Copilot for team environments.
• Use Copilot to enhance collaborative coding practices.
• Optimize team workflows using Copilot’s features.
• Manage Copilot’s integration in multi-developer projects.
• Maintain consistent code quality and standards across teams.
• Leverage advanced Copilot features for team-specific needs.
• Combine Copilot with other collaborative tools for efficiency.

This instructor-led, live training in Italy (online or on-site) is designed for beginner-level developers seeking to boost their coding efficiency with the assistance 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 Italy (online or onsite) 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 Italy (online or onsite) targets developers of all skill levels—from beginners to experts—who wish to harness AI for code generation with 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.
• Leverage Tabnine for efficient code completion and error correction.
• Develop and train custom AI models with Tabnine to handle specialized tasks.

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

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

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