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

This advanced training in Bulgaria focuses on GitHub Copilot and AI applications for corporate infrastructure. It empowers managers with the skills needed to optimize project management, streamline workflows, and enhance decision-making through AI tools, with a particular focus on large-scale projects.

This instructor-led training in Bulgaria enables advanced developers to excel in prompt engineering, fine-tuning, and custom tooling within the Cursor environment. Participants will learn to define precise AI behaviors, incorporate internal knowledge bases, and develop secure, domain-adapted extensions for enterprise workflows.

This instructor-led, live training in Bulgaria (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 Bulgaria (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 live, instructor-led training, available online or on-site, is designed for intermediate software developers looking to enhance their productivity and code quality through AI-assisted coding with Cursor.

Upon completion of this program, participants will be equipped to:

• Install and configure Cursor for AI-supported software development.
• Connect Cursor with Git repositories and align it with development workflows.
• Utilize natural language to generate, debug, and optimize code.
• Apply AI capabilities to facilitate refactoring, documentation, and testing.

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

This instructor-led training in Bulgaria helps developers adopt Cursor, an AI-powered editor that boosts productivity via smart completions and contextual edits. Participants gain hands-on skills in refactoring, safe AI suggestion review, and team collaboration to streamline workflows.

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

Upon completing this training, participants will be capable of:

• Configuring GitHub Copilot for team-based environments.
• Employing Copilot to strengthen collaborative coding habits.
• Enhancing team workflows through Copilot’s capabilities.
• Overseeing Copilot’s integration within multi-developer projects.
• Upholding consistent code quality and standards across all team members.
• Utilizing advanced Copilot features tailored to specific team requirements.
• Integrating Copilot with other collaborative tools to maximize efficiency.

This instructor-led, live training in Bulgaria (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 Bulgaria (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 Bulgaria (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 Bulgaria (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help 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.