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

This advanced training in US covers GitHub Copilot and AI applications for corporate and government infrastructure. It equips managers with skills to optimize project management, streamline workflows, and enhance decision-making using AI tools, with a focus on large-scale projects.

This instructor-led training in US equips advanced developers to master prompt engineering, fine-tuning, and custom tooling within the Cursor environment. Participants will design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions for enterprise workflows for government.

This instructor-led, live training in US (available online or onsite) targets advanced-level participants seeking to customize GitHub Copilot for team projects, exploit its advanced capabilities, and integrate it seamlessly into CI/CD pipelines to bolster collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project needs and team workflows.
• Leverage advanced Copilot features for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments for government.
• Optimize team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

This instructor-led live training in US (online or onsite) is designed for developers aiming to utilize GitHub Copilot Agent Mode for autonomous feature development, test execution, and management of complex coding tasks.

Upon completion, participants will be able to activate Agent Mode, execute planning and iteration within the agent loop, perform terminal commands, and implement enterprise governance protocols.

GitHub Copilot functions as an AI-enabled assistant designed to automate development tasks, including DevOps operations such as the creation of YAML configurations, GitHub Actions, and deployment scripts.

This guided training session, available online or in person, is tailored for professionals at the beginner to intermediate level who seek to utilize GitHub Copilot to optimize DevOps processes, enhance automation, and increase operational efficiency.

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

• Employ GitHub Copilot to support shell scripting, system configuration, and CI/CD pipeline management.
• Utilize AI-driven code completion within YAML files and GitHub Actions.
• Expedite testing, deployment, and automation workflows.
• Apply Copilot with adherence to established best practices and awareness of AI limitations.

Instructional Format

• Interactive lectures and facilitated discussions.
• Extensive practical exercises and reinforcement activities.
• Hands-on implementation within a controlled lab environment.

Customization Options

• To request a tailored training curriculum for this course, please submit an inquiry for coordination.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level software developers seeking to enhance operational efficiency and code integrity through AI-assisted coding with Cursor.

Upon completion of this training, participants will be proficient in:

• Installing and configuring Cursor for AI-assisted software development.
• Integrating Cursor with Git repositories and established development workflows.
• Employing natural language processing to generate, debug, and optimize code.
• Utilizing AI capabilities for refactoring, documentation management, and testing.

This instructor-led training in US introduces Cursor as an AI-enhanced environment to accelerate data and ML workflows for government. 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 US equips developers with the skills to adopt Cursor, an AI-enhanced editor that increases productivity through intelligent completions and contextual editing. Participants acquire practical proficiency in refactoring, secure review of AI suggestions, and team collaboration to optimize operational workflows.

This live, instructor-led training assists teams in integrating Cursor to optimize collaboration and code reviews for government. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and connect Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training in US (conducted online or on-site) is designed for developers ranging from beginner to intermediate levels who seek to effectively leverage the capabilities of GitHub Copilot within modern development workflows for government applications.

This instructor-led, live training in US (available online or onsite) is designed for intermediate to advanced participants seeking to refine team workflows, enhance collaborative coding standards for government, and manage Copilot usage within multi-developer configurations.

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

• Establish GitHub Copilot within team-based environments.
• Employ Copilot to strengthen collaborative coding protocols.
• Refine team operational processes utilizing Copilot’s available features.
• Oversee Copilot’s integration within projects involving multiple developers.
• Uphold consistent code quality and adherence to standards across teams.
• Apply advanced Copilot capabilities to meet specific team requirements for government.
• Integrate Copilot with other collaborative tools to maximize efficiency.

This instructor-led, live training in US (online or onsite) is intended for entry-level developers aiming to enhance coding efficiency through the use of Tabnine.

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

• Install and configure Tabnine within their designated IDE.
• Leverage Tabnine’s autocomplete capabilities to accelerate coding processes.
• Adjust Tabnine’s configuration parameters for optimal support.
• Comprehend how Tabnine’s AI adapts to individual code patterns to refine suggestions.

This instructor-led, live training session in US (online or onsite) is intended for advanced developers and team leads who require mastery of Tabnine's advanced features.

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

• Deploy Tabnine within complex software projects.
• Customize and train Tabnine's AI models for specific operational use cases.
• Integrate Tabnine into team workflows and development pipelines.
• Improve code quality and accelerate development cycles leveraging Tabnine's analytical insights.

This instructor-led, live training in US (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, delivered at US (either online or on-site), is intended for intermediate-level Python developers and data scientists seeking to optimize productivity for government projects using Tabnine.

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

• Install and configure Tabnine within their respective Python development environments.
• Leverage Tabnine's autocomplete capabilities to increase the efficiency of Python code generation.
• Adapt Tabnine's operational parameters to align with individual coding styles and specific project mandates.
• Analyze the functionality of Tabnine's AI model in the context of Python code for government applications.