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

This advanced course in Argentina explores GitHub Copilot and AI applications for corporate infrastructure. It provides managers with the skills necessary to streamline project management, optimize workflows, and enhance decision-making through AI tools, with a particular emphasis on large-scale projects.

This instructor-led training in Argentina 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 suited for enterprise workflows.

This instructor-led, live training in Argentina (online or onsite) is designed for advanced participants who aim to customize GitHub Copilot for team projects, harness its advanced capabilities, and integrate it seamlessly into CI/CD pipelines to improve collaboration and productivity.

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

• Customize GitHub Copilot to fit 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 Argentina (online or onsite) is aimed at 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 (delivered online or onsite) targets intermediate software developers aiming to improve productivity and code quality via AI-assisted coding with Cursor.

By the conclusion of this training, participants will be equipped to:

• Install and configure Cursor for AI-supported software development.
• Integrate Cursor with Git repositories and development processes.
• Generate, debug, and optimize code using natural language.
• Utilize AI capabilities for refactoring, documentation, and testing.

This instructor-led training in Argentina presents Cursor as an AI-powered environment for accelerating 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 training in Argentina guides developers in adopting Cursor, an AI-driven editor that enhances productivity through intelligent completions and context-sensitive edits. Learners develop practical skills in refactoring, secure review of AI suggestions, and team collaboration to streamline their workflows.

This live, instructor-led session in Argentina empowers teams to adopt Cursor for more efficient collaboration and code review processes. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance rules, and connect Cursor to CI/CD pipelines to ensure consistent output quality.

This instructor-led, live training in Argentina (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 Argentina (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 Argentina (online or onsite) is designed for advanced-level 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 (available online or onsite) is designed for developers from beginner to expert levels who aim to leverage AI for code generation with Tabnine.

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

• Understand the core principles 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 Argentina (online or onsite) is designed for intermediate Python developers and data scientists who want to improve their productivity using 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.