AI for Software Development Training in Poitiers

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.

Artificial Intelligence (AI) refers to a suite of technologies that emulate human intelligence within machines and applications, thereby enabling more adaptive and intelligent software solutions.

This instructor-led live training, available online or on-site, is designed for intermediate-level developers aiming to construct AI-powered applications using practical tools and platforms.

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

• Grasp fundamental concepts of AI and machine learning.
• Implement AI features utilizing Python and widely adopted libraries.
• Apply AI methodologies to actual software development projects.
• Assess models and deploy intelligent services.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request 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.

Huawei Ascend comprises a series of AI processors engineered to deliver high-performance capabilities for both inference and training tasks.

This instructor-led live training, available online or on-site, is designed for intermediate-level AI engineers and data scientists aiming to develop and optimize neural network models utilizing Huawei’s Ascend platform alongside the CANN toolkit.

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

• Configure and establish the CANN development environment.
• Create AI applications leveraging MindSpore and CloudMatrix workflows.
• Enhance performance on Ascend NPUs through the use of tiling and custom operators.
• Deploy models across cloud or edge environments.

Course Format

• Interactive lectures and discussions.
• Practical application of the Huawei Ascend and CANN toolkit within sample applications.
• Guided exercises targeting model building, training, and deployment.

Course Customization Options

• For customized training tailored to your specific infrastructure or datasets, please reach out to us to arrange.

This instructor-led live training in Poitiers (online or onsite) is designed for intermediate-level software professionals who aim to leverage AI and machine learning to enhance efficiency and innovation in software development.

Upon completing this training, participants will be able to:

• Grasp the role of AI and machine learning in automating software development activities.
• Deploy AI tools to generate code, tests, and documentation.
• Utilize AI techniques for code optimization, quality assurance, and debugging.
• Incorporate AI into DevOps and CI/CD pipelines to refine deployment strategies.
• Navigate the ethical considerations and challenges associated with AI-augmented software engineering.

This instructor-led, live training session in Poitiers (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 Poitiers (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.

Course Customization Options

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

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

Prompt Engineering for Software Development is a practical course designed to teach developers how to craft effective prompts that optimize the usefulness, precision, and safety of AI-generated outputs in the context of software engineering tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to integrate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools.

• Create precise prompts for code generation, review, and optimization tasks.
• Use prompt chaining and refinement to improve AI responses in iterative workflows.
• Generate structured outputs such as test cases, SQL queries, and documentation from minimal input.
• Mitigate hallucination and improve control over LLM behavior in technical environments.

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

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

This instructor-led live training in Poitiers (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.

Responsible AI in Software Development is a foundational course that addresses the ethical, legal, and governance considerations when using AI tools in the software development process. The course emphasizes transparency, fairness, intellectual property concerns, and safe deployment of AI-generated code.

This instructor-led, live training (online or onsite) is aimed at beginner-level technical and non-technical professionals who wish to ensure ethical, compliant, and risk-aware use of AI in their software projects.

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

• Identify and mitigate ethical and legal risks associated with AI-assisted development.
• Understand bias in AI-generated code and how to evaluate fairness.
• Manage software licenses and attribution related to AI-generated content.
• Establish governance, policy, and compliance frameworks for AI use in development teams.

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.

AI for Software Requirements and User Story Generation is a practical course focused on using generative AI to transform stakeholder input into structured requirements, epics, user stories, and acceptance criteria suitable for Agile development workflows.

This instructor-led, live training (online or onsite) is aimed at beginner-level product and project professionals who wish to use tools like ChatGPT or Claude to improve clarity, speed, and traceability in requirement gathering and refinement.

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

• Use AI prompts to gather and refine business requirements.
• Convert feature requests into well-structured user stories and epics.
• Generate acceptance criteria, edge cases, and definitions of done with AI assistance.
• Collaborate with development teams using AI-structured documentation.

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.

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 Poitiers (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 Poitiers (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.

Generative AI for Front-End Development investigates how large language models and AI-driven tools can streamline front-end development via prompt-driven code generation, layout prototyping, and UI optimization.

This instructor-led, live training (available online or onsite) targets beginner to intermediate front-end professionals looking to leverage generative AI to construct and iterate user interfaces more rapidly and creatively.

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

• Utilize AI tools to produce HTML, CSS, and JavaScript from natural language prompts.
• Create and refine UI components and layouts using generative models.
• Rapidly prototype responsive web designs without writing all code from scratch.
• Optimize front-end code using AI recommendations and automation workflows.

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

• Interactive lecture and discussion.
• Extensive 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 in Poitiers (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.

AI-Augmented Test Generation and Quality Engineering explores how artificial intelligence tools and large language models (LLMs) can improve test coverage, speed up test creation, and enhance quality assurance processes.

This instructor-led, live training (online or onsite) is aimed at intermediate-level QA professionals who wish to automate and enhance their testing strategies using AI-driven tools and practices.

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

• Generate unit, integration, and UI tests using AI tools and prompts.
• Use LLMs for exploratory testing, edge-case discovery, and regression analysis.
• Cluster and prioritize test failures and anomalies using AI-assisted triage.
• Integrate AI-based testing into CI/CD pipelines to improve release confidence.

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.

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 Poitiers (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 Poitiers (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 Poitiers (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 Poitiers (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.

Devstral is an open-source framework purpose-built for creating and operating coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led live training, available online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Live-lab implementation exercises.

Customization Options

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

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 Poitiers (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.

The course 'LLMs for Code Understanding, Refactoring, and Documentation' is a technical program designed to teach participants how to apply large language models (LLMs) to enhance code quality, minimize technical debt, and automate documentation across software development teams.

This instructor-led, live training (available online or on-site) targets intermediate to advanced software professionals who want to leverage LLMs, such as GPT, to better analyze, refactor, and document complex or legacy codebases.

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

• Utilize LLMs to clarify code, dependencies, and logic within unfamiliar repositories.
• Identify and refactor anti-patterns while improving overall code readability.
• Automate the creation and maintenance of inline comments, README files, and API documentation.
• Integrate LLM-driven insights into existing CI/CD and code review workflows.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live lab environment.

Course Customization Options

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

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

The AI-Driven Software Development Lifecycle (SDLC) is a practical course that examines how artificial intelligence can enhance every stage of the software development process. Participants will learn to integrate AI tools and techniques throughout the entire lifecycle, ranging from automating requirement analysis to intelligent test generation and deployment optimization.

This instructor-led, live training (available online or onsite) is designed for intermediate-level software leaders seeking to modernize their SDLC with AI-assisted workflows and tools.

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

• Utilizing AI to transform business input into structured requirements and user stories.
• Employing Large Language Models (LLMs) to enhance code documentation, review processes, and refactoring.
• Automating test case generation and coverage analysis through the use of AI tools.
• Applying AI-driven monitoring and decision-making capabilities within CI/CD pipelines.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

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

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 Poitiers (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 Poitiers (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 immersive, one-day workshop that empowers software teams to integrate cutting-edge AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience blends technical skill-building, creativity, and collaboration.

Participants will tackle real-world challenges across all stages of the SDLC — from requirement gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools like ChatGPT, GitHub Copilot, and ML-based log analysis systems.

Designed for modern development environments, this workshop fosters AI fluency, team synergy, and a deep understanding of how to augment software delivery pipelines with generative AI and machine learning capabilities.

This instructor-led live training in Poitiers (online or on-site) is designed for beginner-level professionals who aim to use Replit AI to build, test, and deploy simple applications more efficiently.

By the conclusion of this training, participants will be able to: create an app from a prompt, enhance code with AI assistance, manage configuration securely, and deploy a working application.

This instructor-led live training in Poitiers (online or onsite) targets beginner, intermediate, and advanced product teams, developers, and technical business users who wish to use Lovable to build production-ready applications faster, with improved structure, quality, and deployment practices.

By the end of this training, participants will be able to: plan and generate functional applications, improve user flows and data handling, add critical production features, and prepare applications for deployment and team use.

This instructor-led, live training aims to equip professionals without any coding or technical background with the confidence to use Claude Code — Anthropic’s AI-powered coding and automation tool — to create real-world projects, automate workflows, and integrate everyday tools using plain English.

Throughout the course, participants will utilize the Claude app (accessible via claude.ai and Claude Desktop) to complete hands-on tasks, starting from their initial interaction and progressing to connecting Claude with external services through MCP (Model Context Protocol) connectors. The 7-hour session includes a dedicated Live Build Session, where the group collaboratively develops workflows based on real problems volunteered by participants. This high-energy segment fosters effective prompt judgment skills that cannot be achieved through solo practice. By the course’s conclusion, every participant will have completed a functional project and connected Claude to at least one external service.

Course Format

• Interactive lectures paired with live demonstrations
• Guided hands-on exercises following each concept (participants follow along in real time)
• Collaborative Live Build Session addressing real workflow challenges submitted by participants
• Cumulative capstone project with a showcase presentation

This instructor-led, live training aims to equip professionals without coding or technical backgrounds to confidently utilize Claude Code, Anthropic’s AI-powered coding and automation tool. Participants will learn to build real projects, automate workflows, and integrate everyday tools using plain English.

Throughout the course, participants will use the Claude application (claude.ai and Claude Desktop) to complete hands-on tasks. Starting from the very first interaction, attendees will progress to connecting Claude with external services via MCP (Model Context Protocol) connectors. By the end of the course, every participant will have created a functional project and linked Claude to at least one external service.

Course Format

• Interactive lectures and live demonstrations
• Guided, hands-on exercises following each concept (participants follow along in real-time)
• A cumulative capstone project developed throughout the session

This instructor-led, live training in Poitiers (online or onsite) is aimed at intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity with AI-assisted coding.

By the end of this training, participants will be able to: install and configure Claude Code, navigate, generate and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.

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 Poitiers (available online or on-site) is designed for beginner, intermediate, or advanced-level professionals who wish to utilize Bolt.new to rapidly create and enhance web app prototypes.

By the end of this training, participants will be able to: create prototypes from prompts, refine features and interface flows, test and troubleshoot app behavior, and publish prototypes for review.

This instructor-led, live training in Poitiers (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.

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

• Master enterprise prompt architecture across six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Encode business, security, and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance mechanisms: Prompt Curator role, naming conventions, versioning, and quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

• To request a customized version of this training, please contact us to make the
  necessary arrangements.