AI Coding Assistants Training in Lyon

GitHub Copilot is an AI-driven code completion tool designed to accelerate development while enhancing quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led live training (available online or onsite) targets advanced-level managers seeking to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate settings, with examples relevant to large-scale projects and industries such as oil and gas.

Upon completing this training, participants will be able to:

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

GitHub Copilot is an AI-powered coding assistant that aids in automating development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.

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

• Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Leverage AI code completion in YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly with an understanding of AI limitations and best practices.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training session in Lyon (online or onsite) targets intermediate to advanced professionals aiming to refine team workflows, strengthen collaborative coding habits, and effectively oversee Copilot usage within multi-developer settings.

Upon completion of this training, participants will be capable of:

• Configuring GitHub Copilot for team-based environments.
• Applying Copilot to improve collaborative coding techniques.
• Refining team workflows through Copilot’s capabilities.
• Administering Copilot’s integration across multi-developer initiatives.
• Ensuring uniform code quality and standards among team members.
• Harnessing advanced Copilot features tailored to specific team requirements.
• Integrating Copilot with other collaborative tools to maximize efficiency.

This instructor-led live training, held in Lyon (online or onsite), targets intermediate-level QA engineers, developers, and team leads who want to utilize GitHub Copilot to streamline code reviews, enhance code quality, and debug more efficiently.

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

• Set up GitHub Copilot for debugging and code review.
• Leverage Copilot to locate and fix bugs rapidly.
• Boost code quality via AI-assisted suggestions.
• Optimize code review processes using Copilot's capabilities.
• Work collaboratively with Copilot in team settings.

This instructor-led live training in Lyon (online or onsite) targets intermediate front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes using AI-generated code suggestions.
• Enhance front-end workflows with practical Copilot integration strategies.
• Troubleshoot and debug front-end code using Copilot assistance.

Cursor is an AI-driven development environment that boosts productivity and reliability in data and machine learning workflows through intelligent code generation, context-aware suggestions, and streamlined documentation.

This instructor-led, live training (available online or onsite) targets intermediate-level data and ML professionals looking to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.

After completing this training, participants will be able to:

• Utilize Cursor to accelerate notebook development and code exploration.
• Generate, refactor, and document ETL and feature engineering pipelines.
• Leverage AI-assisted code for model training, tuning, and evaluation.
• Enhance reproducibility, collaboration, and operational consistency in ML workflows.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model ops tools.

Course Customization Options

• This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level to intermediate-level Python developers who wish to leverage GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

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

• Set up and configure GitHub Copilot for Python development.
• Leverage Copilot to write efficient Python code.
• Debug Python applications using AI-generated suggestions.
• Automate repetitive coding tasks and improve workflow efficiency.
• Utilize Copilot for implementing machine learning projects in Python.

Graphite is a platform designed to boost developer productivity and streamline code reviews. It optimizes pull request workflows, enhances team collaboration, and seamlessly integrates with tools like GitHub and AI-powered code review assistants.

This instructor-led live training (available online or onsite) is tailored for intermediate-level software engineering teams looking to streamline their development processes, boost review efficiency, and effectively implement Graphite within their enterprise DevOps pipelines.

Upon completing this training, participants will be equipped to:

• Deploy and configure Graphite for enterprise-scale development environments.
• Automate pull request management and enhance code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Measure developer productivity using Graphite analytics and dashboards.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Numerous exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Cursor is a sophisticated, AI-driven development environment that enables engineers to extend, fine-tune, and customize its coding intelligence to meet specialized use cases and enterprise workflows.

This instructor-led live training (available online or onsite) targets advanced developers and AI engineers looking to design tailored prompt systems, refine model behavior, and construct custom extensions for internal development automation.

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

• Design and test advanced prompt templates to achieve precise AI behavior.
• Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
• Develop fine-tuned or domain-adapted AI models tailored for specialized tasks.
• Build and deploy custom tools or adapters to securely extend Cursor’s functionality.

Course Format

• Technical presentations and guided demonstrations.
• Hands-on development sessions and prompt optimization labs.
• Practical projects integrating Cursor with real-world enterprise systems.

Course Customization Options

• This course can be customized to align with specific internal architectures, AI frameworks, or security compliance requirements.

This instructor-led, live training in Lyon (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 Lyon (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.

Vibe coding represents an emerging paradigm in which developers collaborate with large language models to generate, refine, and optimize code through natural language interactions.

This instructor-led, live training (available online or onsite) is designed for intermediate-level developers and technical leads aiming to master the use of AI coding assistants and open-source LLMs to enhance productivity, creativity, and workflow automation.

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

• Grasp the principles and philosophy of vibe coding and its impact on software development.
• Implement LLM-assisted coding environments using tools such as Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot.
• Design and execute prompt engineering strategies for effective AI collaboration.
• Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Ample exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Cursor is an AI-enhanced development environment designed to boost team collaboration, automate code reviews, and integrate smoothly into modern CI/CD workflows.

This instructor-led live training, available online or onsite, targets intermediate-level technical professionals looking to incorporate Cursor into their team environments. The goal is to improve collaboration, streamline review processes, and uphold quality standards across automated pipelines.

Upon completing this training, participants will be able to:

• Configure and manage team environments in Cursor to facilitate collaborative development.
• Utilize AI tools for automated code reviews, creating pull requests, and validating merges.
• Establish code governance, review policies, and security guardrails using Cursor’s features.
• Connect Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Course Format

• Instructor-led presentations combined with team-based discussions.
• Practical labs based on real-world team collaboration scenarios.
• Live integration exercises involving CI/CD and version control tools.

Course Customization Options

• The course can be tailored to specific CI/CD platforms, repository tools, or enterprise security requirements.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.

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

• Understand the capabilities and limitations of DeepSeek Coder.
• Generate high-quality code snippets using AI assistance.
• Utilize DeepSeek Coder for debugging and optimizing code.
• Automate repetitive programming tasks using AI tools.

This instructor-led, live training session in Lyon (online or onsite) is designed for intermediate-level participants who want to use GitHub Copilot to manage advanced coding requirements, enhance productivity, and integrate Copilot into their development processes.

By the end of this course, participants will be capable of:

• Optimizing GitHub Copilot usage for advanced coding challenges.
• Writing more efficient, robust, and maintainable code using Copilot’s recommendations.
• Integrating GitHub Copilot into their preferred IDEs and workflows.
• Employing Copilot for debugging and refactoring code.
• Understanding the constraints and ethical aspects of utilizing AI-driven coding tools.

This instructor-led live training in Lyon (online or onsite) is designed for advanced 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 in Lyon (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

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

• Understand the role and capabilities of AI coding assistants in software development.
• Utilize various AI coding assistant tools to automate routine coding tasks.
• Integrate AI coding assistants into their software development lifecycle.
• Enhance their productivity and focus on more complex and creative programming tasks.
• Address ethical considerations and responsible use of AI in software development.

Cursor is an AI-driven code editor aimed at improving developer productivity through smart code completions, context-aware edits, and adaptive support.

This instructor-led live training, available online or onsite, is designed for beginner-level developers and engineering teams looking to streamline their coding workflows and safely utilize AI suggestions to enhance efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor for optimal use in development projects.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
• Evaluate, accept, or modify AI-generated code suggestions effectively and securely.
• Adopt best practices for team onboarding, collaboration, and version control integration.

Course Format

• Interactive lectures and discussions.
• Hands-on demonstrations and guided exercises.
• Real-world coding challenges and lab practice using Cursor.

Customization Options

• This course can be tailored to specific programming languages or frameworks used by your team.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level developers who wish to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.

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

• Understand what GitHub Copilot is and how it works.
• Set up GitHub Copilot with a supported code editor.
• Use GitHub Copilot to write, refactor, and debug code faster.
• Leverage Copilot to explore coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into daily workflows.

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

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

• Install and configure Tabnine within their Python development environment.
• Utilize Tabnine's autocomplete capabilities to write Python code more efficiently.
• Customize Tabnine's behavior to align with their coding style and project requirements.
• Gain insight into how Tabnine's AI model operates specifically with Python code.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process, and the ethical considerations surrounding their use.

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

• Understand the purpose and capabilities of AI coding assistants.
• Identify different AI coding assistant tools and their features.
• Utilize AI coding assistants for basic coding tasks.
• Address basic ethical considerations and responsible use of AI in development.

This instructor-led, live training (available online or onsite) is designed for intermediate-level software developers who want to enhance their productivity and code quality through AI-assisted coding with Cursor.

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

• Install and configure Cursor for AI-assisted software development.
• Integrate Cursor with Git repositories and development workflows.
• Use natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, documentation, and testing.

This instructor-led, live training in Lyon (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 Lyon (online or onsite) is targeted at beginner-level developers looking to enhance their coding efficiency with Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Use 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 6loc7] (online or onsite) targets developers aiming 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 instructor-led, live training in Lyon (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.