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

This advanced training on Mexico explores GitHub Copilot and AI applications for corporate infrastructure. It empowers managers to optimize project management, refine workflows, and enhance decision-making through AI tools, with a specific focus on large-scale projects.

This instructor-led training in Mexico empowers 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 live, instructor-led training in Mexico (online or on-site) 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 Mexico (online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to build features autonomously, 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.

GitHub Copilot

This live, instructor-led training (online or onsite) targets intermediate software developers aiming to elevate productivity and code quality by leveraging AI-assisted coding with Cursor.

By the end of the session, participants will be capable of:

• Installing and configuring Cursor for AI-assisted development.
• Integrating Cursor with Git repositories and development pipelines.
• Generating, debugging, and optimizing code using natural language.
• Utilizing AI for refactoring, documentation, and testing tasks.

This instructor-led training in Mexico introduces Cursor as an AI-powered environment to accelerate data and ML workflows. Participants will learn to streamline notebook development, ETL pipelines, and model operations through practical exercises that enhance productivity and operational consistency.

This instructor-led course in Mexico guides developers in adopting Cursor, an AI-powered editor that enhances productivity through smart completions and contextual edits. Learners will develop practical skills in refactoring, secure review of AI suggestions, and team collaboration to streamline their workflows.

This live, instructor-led training for Mexico assists teams in integrating Cursor to optimize collaboration and code review processes. It covers managing workspaces, automating AI-assisted pull requests, enforcing governance policies, and linking Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led live training in Mexico (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to effectively utilize GitHub Copilot within modern development workflows.

This instructor-led, live training in Mexico (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 Mexico (online or onsite) is designed for experienced developers and team leads who wish 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 session in Mexico (online or on-site) is designed for developers from novice to expert levels 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 Mexico (online or onsite) is designed for intermediate-level Python developers and data scientists seeking to boost their productivity with Tabnine.

Upon completion 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.