AI for Software Development Training in Sud-Vest

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

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

Upon completion of 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.

Course Format

• Interactive lectures and discussions.
• 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) encompasses a suite of technologies that emulate human intelligence within machines and applications, facilitating the creation of smarter and more adaptive software solutions.

This instructor-led live training, available either online or onsite, is designed for intermediate developers looking to construct AI-driven applications using practical, real-world tools and platforms.

Upon completion of this training, participants will gain the ability to:

• Grasp fundamental AI and machine learning concepts.
• Create AI functionalities using Python and widely adopted libraries.
• Implement AI techniques within actual software development projects.
• Assess models and deploy intelligent services effectively.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For inquiries regarding customized training for this course, please get in touch with us to arrange it.

GitHub Copilot is an AI-driven coding assistant designed to automate development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (available online or onsite) targets beginner 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

• 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 for high-performance inference and training tasks.

This instructor-led live training, available online or in-person, targets intermediate AI engineers and data scientists looking to develop and optimize neural network models through Huawei’s Ascend platform and the CANN toolkit.

Upon completing this training, participants will be capable of:

• Configuring and setting up the CANN development environment.
• Building AI applications leveraging MindSpore and CloudMatrix workflows.
• Enhancing performance on Ascend NPUs via custom operators and tiling techniques.
• Deploying models to either cloud or edge environments.

Course Format

• Interactive lectures accompanied by discussions.
• Practical application of the Huawei Ascend platform and CANN toolkit within sample applications.
• Guided exercises concentrating on model construction, training, and deployment.

Customization Options

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

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.

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

• Understand the role of AI and machine learning in automating software development tasks.
• Implement AI tools to generate code, tests, and documentation.
• Apply AI techniques for code optimization, quality assurance, and debugging.
• Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
• Address ethical considerations and challenges in AI-augmented software engineering.

This instructor-led, live training in Sud-Vest (online or onsite) is designed for intermediate to advanced participants who wish to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

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

• Set up GitHub Copilot for team environments.
• Utilize Copilot to enhance collaborative coding practices.
• Optimize team workflows using Copilot’s features.
• Manage Copilot’s integration in multi-developer projects.
• Maintain consistent code quality and standards across teams.
• Leverage advanced Copilot features for team-specific needs.
• Combine Copilot with other collaborative tools for efficiency.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review.

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

• Set up GitHub Copilot for debugging and code review purposes.
• Use Copilot to identify and resolve bugs efficiently.
• Enhance code quality with AI-assisted suggestions.
• Streamline code review processes with Copilot's capabilities.
• Collaborate effectively using Copilot in team environments.

Course Customization Options

Format of the Course

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

This comprehensive course equips developers with the skills to design effective prompts that maximize the utility, accuracy, and safety of AI-generated content specifically for software engineering applications.

Delivered as an instructor-led live session (available online or onsite), this program targets intermediate developers who aim to incorporate prompt engineering methodologies into their utilization of AI coding assistants, code analysis tools, and intelligent automation solutions.

• Formulate precise prompts for code generation, review, and optimization tasks.
• Leverage prompt chaining and refinement techniques to enhance AI responses within iterative development workflows.
• Produce structured outputs, including test cases, SQL queries, and documentation, from minimal input.
• Reduce hallucinations and gain greater control over Large Language Model (LLM) behavior in technical settings.

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

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

This instructor-led, live training in Sud-Vest (online or onsite) is designed for intermediate-level 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

• 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 hands-on course designed to teach participants how to leverage generative AI to convert stakeholder feedback into well-organized requirements, epics, user stories, and acceptance criteria that align with Agile development practices.

This instructor-led live training, available online or on-site, targets beginner-level product and project professionals who want to use tools such as ChatGPT or Claude to enhance the clarity, efficiency, and traceability of their requirement gathering and refinement processes.

Upon completing this training, participants will be capable of:

• Utilizing AI prompts to collect and refine business requirements.
• Translating feature requests into clearly structured user stories and epics.
• Leveraging AI to produce acceptance criteria, edge cases, and definitions of done.
• Working effectively with development teams using AI-structured documentation.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab setting.

Customization Options

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

Cursor is an AI-enhanced development environment designed to boost productivity and reliability in data and machine learning workflows. It achieves this 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 seeking to integrate Cursor into their daily workflows. The goal is to enable faster prototyping, scalable pipeline development, and improved model operations.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

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

This instructor-led live training in Sud-Vest (online or onsite) targets beginner to intermediate Python developers who want to leverage GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

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

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

Graphite serves as a powerful platform designed to enhance developer productivity and streamline code reviews by optimizing pull request workflows, fostering better team collaboration, and seamlessly integrating with tools like GitHub and AI-driven code review assistants.

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

Upon completing this training, participants will gain the ability to:

• Deploy and configure Graphite for large-scale enterprise development environments.
• Automate pull request management to significantly improve code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants including OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Measure and analyze developer productivity using Graphite’s advanced analytics and dashboards.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to make arrangements.

Cursor is an advanced AI-powered development environment that allows engineers to extend, fine-tune, and customize its coding intelligence for specialized use cases and enterprise workflows.

This instructor-led, live training (online or onsite) is aimed at advanced-level developers and AI engineers who wish to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

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

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

Format of the Course

• Technical presentations and guided demonstrations.
• Hands-on development 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 Sud-Vest (offered online or on-site) targets advanced-level attendees who want to customize GitHub Copilot for team projects, leverage its sophisticated features, and integrate it into CI/CD pipelines to improve collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project requirements and team workflows.
• Apply Copilot’s advanced capabilities to address complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-enabled tools.
• Effectively manage and troubleshoot Copilot settings and user permissions.

This course on Generative AI for Front-End Development examines how large language models and AI-driven tools can accelerate web development by leveraging prompt-based code generation, layout prototyping, and UI optimization.

Designed as an instructor-led, live training session (available online or onsite), this program targets beginner to intermediate front-end professionals aiming to utilize generative AI for faster and more creative user interface development.

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

• Leverage AI tools to produce HTML, CSS, and JavaScript code from natural language prompts.
• Develop and refine UI components and layouts using generative models.
• Rapidly prototype responsive web designs without coding every element from scratch.
• Enhance front-end code quality by applying AI-driven suggestions and automation workflows.

Course Format

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

Customization Options

• To request a customized version of this course, please get in touch with us to arrange your training.

This instructor-led live training in Sud-Vest (online or onsite) is designed for developers from novice to expert levels who wish to utilize 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 a new approach where developers partner with large language models to create, refine, and optimize code using natural language communication.

This instructor-led live training, available online or in-person, targets intermediate developers and technical leaders who want to master AI coding assistants and open-source LLMs to boost 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 influence on software development.
• Set up LLM-assisted coding environments using tools like Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot.
• Design and implement prompt engineering strategies for effective AI collaboration.
• Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practice opportunities.
• Hands-on implementation in a live lab environment.

Course Customization Options

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

AI-Enhanced Test Generation and Quality Engineering investigates how artificial intelligence tools and large language models (LLMs) can optimize test coverage, accelerate the creation of tests, and strengthen quality assurance workflows.

This instructor-led live training (available online or on-site) targets intermediate QA professionals looking to automate and refine their testing strategies through the use of AI-driven tools and methodologies.

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

• Create unit, integration, and UI tests leveraging AI tools and prompt techniques.
• Utilize LLMs for exploratory testing, identifying edge cases, and conducting regression analysis.
• Group and prioritize test failures and anomalies using AI-assisted triage methods.
• Incorporate AI-based testing into CI/CD pipelines to boost confidence in releases.

Course Format

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

Customization Options

• For customized training on this subject, please reach out to us to make arrangements.

Cursor is an intelligent, AI-driven development environment designed to boost team collaboration, automate code reviews, and integrate effortlessly into contemporary CI/CD workflows.

This instructor-led live training, available either online or onsite, targets intermediate-level technical professionals seeking to incorporate Cursor into their team workflows to improve collaboration, streamline code reviews, and uphold quality standards across automated pipelines.

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

• Configure and manage team environments within Cursor for collaborative development.
• Utilize AI tools to automate code reviews, generate pull requests, and validate merges.
• Enforce code governance, review policies, and security guidelines using Cursor’s features.
• Connect Cursor with CI/CD systems to ensure continuous delivery and consistent quality.

Course Format

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

Customization Options

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

This instructor-led, live training in Sud-Vest (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 in Sud-Vest (online or in-person) is designed for intermediate-level attendees who want to use GitHub Copilot to manage advanced coding scenarios, boost productivity, and seamlessly integrate Copilot into their development processes.

Upon completing this training, participants will be able to:

• Maximize their use of GitHub Copilot for complex coding tasks.
• Produce code that is more efficient, less prone to errors, and easier to maintain by leveraging Copilot's suggestions.
• Integrate GitHub Copilot into their preferred integrated development environments (IDEs) and workflows.
• Use Copilot for debugging and code refactoring.
• Comprehend the limitations and ethical implications of using AI-powered coding tools.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at advanced-level developers and team leads who wish to master 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 Sud-Vest (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:

• Grasp the role and capabilities of AI coding assistants in software development.
• Leverage various AI coding assistant tools to automate routine coding tasks.
• Seamlessly integrate AI coding assistants into their software development lifecycle.
• Boost 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 engineered for the creation and execution of coding agents capable of interacting with code repositories, developer utilities, and APIs to boost engineering efficiency.

This instructor-led, live training (available online or on-site) targets intermediate to advanced ML engineers, developer-tooling teams, and Site Reliability Engineers (SREs) who aim to design, implement, and optimize coding agents using Devstral.

Upon completing this training, participants will be able to:

• Establish and configure the Devstral environment for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

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

Cursor is an AI-driven code editor built to boost developer efficiency by providing intelligent code completions, contextual edits, and adaptive support.

This instructor-led live training, available online or on-site, targets beginner-level developers and engineering teams aiming to streamline their coding workflows and safely utilize AI suggestions to enhance efficiency.

Upon 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 lecture and discussion.
• Hands-on demonstrations and guided exercises.
• Real-world coding challenges and lab practice using Cursor.

Course Customization Options

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

This instructor-led, live training in Sud-Vest (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 technical course, 'LLMs for Code Understanding, Refactoring, and Documentation,' focuses on leveraging large language models (LLMs) to enhance code quality, minimize technical debt, and automate documentation processes within software teams.

Delivered as an instructor-led live session (available online or onsite), this training is designed for intermediate to advanced software professionals aiming to effectively analyze, refactor, and document complex or legacy codebases using LLMs like GPT.

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

• Employing LLMs to clarify code structure, dependencies, and logic within unfamiliar repositories.
• Identifying and refactoring anti-patterns while enhancing overall code readability.
• Automating the generation and upkeep of inline comments, README files, and API documentation.
• Integrating LLM-driven insights into current 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.

Customization Options

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

This instructor-led, live training in Sud-Vest (online or onsite) is designed for intermediate-level Python developers and data scientists who want to increase their productivity with the assistance of Tabnine.

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

• Install and configure Tabnine in their Python development environment.
• Utilize Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine's behavior to suit their coding style and project needs.
• Understand how Tabnine's AI model specifically works with Python code.

This instructor-led, live training in Sud-Vest (online or onsite) is designed for 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) course provides a practical exploration of how artificial intelligence can optimize every stage of the software development process. From automating requirement analysis to enabling intelligent test generation and optimizing deployment, participants will learn to effectively integrate AI tools and methodologies throughout the entire lifecycle.

This instructor-led, live training is available both online and onsite. It is designed for intermediate-level software leaders who aim to modernize their SDLC by adopting AI-assisted workflows and tools.

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

• Utilize AI to transform business inputs into structured requirements and user stories.
• Apply Large Language Models (LLMs) to enhance code documentation, perform reviews, and assist with refactoring.
• Automate the generation of test cases and analyze coverage using AI-powered tools.
• Implement AI-driven monitoring and decision-making for deployments within CI/CD pipelines.

Course Format

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

Course Customization Options

• For customized training requests for this course, please contact us to arrange.

This guided, live training session (available online or in-person) is designed for mid-level software developers looking to enhance their productivity and improve code quality through AI-assisted coding with Cursor.

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

• Set up and configure Cursor for AI-enhanced software development.
• Seamlessly integrate Cursor with Git repositories and existing development workflows.
• Utilize natural language commands to create, debug, and optimize code.
• Apply AI tools for refactoring, documentation, and testing processes.

This instructor-led, live training in Sud-Vest (online or onsite) targets beginner to intermediate-level developers seeking to learn how to effectively harness the capabilities of GitHub Copilot within modern development workflows.

This instructor-led, live training in Sud-Vest (online or onsite) is tailored for beginner-level developers aiming to boost their coding efficiency with Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to accelerate 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 Sud-Vest (online or onsite) is designed for beginner-level professionals who wish to use Replit AI to build, test, and deploy simple applications more quickly.

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

This instructor-led live training in Sud-Vest (available online or onsite) is designed for beginner, intermediate, and advanced product teams, developers, and technical business users who wish to utilize Lovable to build production-ready applications more efficiently, with enhanced structure, quality, and deployment methodologies.

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

The primary aim of this instructor-led, live training is to equip professionals without any coding or technical background with the confidence to utilize Claude Code — Anthropic’s AI-driven coding and automation tool — for constructing real-world projects, automating workflows, and integrating everyday tools using natural English.

Attendees will engage with the Claude application (via claude.ai and Claude Desktop) to execute practical tasks, ranging from their initial interaction to linking Claude with external services through MCP (Model Context Protocol) connectors. The 7-hour schedule includes a dedicated Live Build Session where participants collaboratively develop workflows addressing real issues submitted by attendees. This dynamic segment teaches prompt evaluation skills in a way that solitary practice cannot replicate. Upon course completion, each participant will have constructed a functional project and connected Claude to at least one external service.

Course Structure

• Interactive lectures combined with live demonstrations
• Guided hands-on exercises following each concept (participants follow along in real time)
• A collaborative Live Build Session addressing real workflow challenges submitted by participants
• A cumulative capstone project featuring a showcase

The objective of this instructor-led, live training is to empower professionals with no coding or technical background to confidently use Claude Code — Anthropic’s AI-powered coding and automation tool — to build real projects, automate workflows, and connect their everyday tools using plain English.

Participants will use the Claude app (claude.ai and Claude Desktop) to complete hands-on tasks from their very first interaction to connecting Claude to external services through MCP (Model Context Protocol) connectors. By the end of the course, every participant will have built a working project and connected Claude to at least one external service.

Format of the Course

• Interactive lecture and live demonstration
• Guided hands-on exercises after every concept (participants follow along in real time)
• Cumulative capstone project built throughout the session

This instructor-led, live training in Sud-Vest (online or onsite) is designed for 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 enhance code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.

This instructor-led, live training in Sud-Vest is designed for intermediate-level developers who wish to take a project from idea to a deployed, production-ready application using Claude Code.

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

• Configure Claude Code and effectively guide it using a CLAUDE.md file.
• Scaffold an application and integrate data with a CMS.
• Build test suites and run QA processes using subagents.
• Set up automated deployment pipelines to Vercel or Cloud Run.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at developers who wish 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.

Course objectives turn software and AI engineers into legal engineers – the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.

This instructor-led live training in Sud-Vest (offered online or onsite) is designed for beginner, intermediate, or advanced-level professionals who aim to utilize Bolt.new for the swift creation and enhancement of web app prototypes.

By the conclusion of this training, participants will be capable of: generating prototypes from prompts, refining features and interface navigation, testing and troubleshooting application behavior, and publishing prototypes for review.

This instructor-led, live training in Sud-Vest (online or on-site) is designed for developers who want to use Windsurf to build features conversationally, execute terminal workflows within the IDE, and refactor across the codebase.

By the end of this training, participants will be able to utilize Cascade for navigation, run 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, Examples).
• Encode business, security, and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library validated, shared, and governed by all teams.
• Define sustainable governance: Prompt Curator role, naming conventions, versioning, quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, 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.