Generative AI for Front-End Development Training Course

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

This instructor-led, live training (available online or onsite) targets advanced-level managers who wish to deepen their knowledge of GitHub Copilot while exploring practical AI applications in corporate environments. The course includes 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.
• Identify practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course

• 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.

Cursor serves as a sophisticated, AI-driven development environment that empowers engineers to extend, fine-tune, and customize its coding capabilities for specific use cases and enterprise workflows.

This instructor-led training, available either online or onsite, targets advanced developers and AI engineers seeking to design tailored prompt systems, refine model behavior, and create custom extensions for internal development automation.

Upon completing this course, participants will be able to:

• Design and test sophisticated 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 that securely extend Cursor’s functionality.

Course Format

• Technical presentations accompanied by guided demonstrations.
• Hands-on labs focused on development and prompt optimization.
• Practical projects that integrate Cursor with real-world enterprise systems.

Customization Options

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

This instructor-led live training in the Netherlands (online or on-site) is designed for advanced participants who wish to customize GitHub Copilot for team projects, leverage its advanced features, and integrate it seamlessly into CI/CD pipelines to enhance 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 the Netherlands (online or onsite) is designed for 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.

GitHub Copilot serves as an AI-driven coding assistant designed to automate development tasks, specifically supporting DevOps operations such as creating YAML configurations, GitHub Actions workflows, and deployment scripts.

This instructor-led live training (available online or onsite) is tailored for beginner to intermediate professionals aiming to utilize GitHub Copilot to streamline DevOps processes, enhance automation capabilities, and increase overall productivity.

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

• Employ GitHub Copilot to assist with shell scripting, configuration management, and CI/CD pipelines.
• Utilize AI code completion features within YAML files and GitHub Actions.
• Speed up testing, deployment, and automation workflows.
• Apply Copilot responsibly by understanding its limitations and adhering to best practices.

Course Format

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

Course Customization Options

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

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

Upon completion 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.
• Utilize natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, documentation, and testing.

Cursor is an AI-driven development environment designed to boost productivity and reliability in data and machine learning workflows via intelligent code generation, context-aware suggestions, and streamlined documentation.

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

Upon 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 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 tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.

Cursor is an AI-powered code editor designed to enhance developer productivity through intelligent code completions, contextual edits, and adaptive assistance.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers and engineering teams who wish to streamline their coding workflow and safely leverage AI suggestions for improved efficiency.

Upon completion of 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.

Format of the Course

• 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.

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

This instructor-led live training (available online or onsite) targets intermediate-level technical professionals aiming to incorporate Cursor into their team setups to boost collaboration efficiency, streamline review processes, and uphold quality across automated pipelines.

Upon completing this training, participants will be equipped to:

• Configure and manage team environments in Cursor for effective collaborative development.
• Utilize AI tools for automated code reviews, pull request generation, and merge validation.
• Establish code governance, review policies, and security guardrails leveraging Cursor’s capabilities.
• Connect Cursor with CI/CD systems to guarantee continuous delivery and consistent quality standards.

Course Format

• Instructor-led presentations combined with team-based discussions.
• Practical labs utilizing real-world team collaboration scenarios.
• Live integration exercises with 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 the Netherlands (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 the Netherlands (online or onsite) is aimed at intermediate-level to advanced-level 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 the Netherlands (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.

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

• Install and set up Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to speed up coding.
• Customize Tabnine's settings for optimal assistance.
• Understand how Tabnine's AI learns from their code to provide better suggestions.

This instructor-led, live training in the Netherlands (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 the Netherlands (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.

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

• Understand the basics of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Utilize Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialized tasks.

This instructor-led, live training in the Netherlands (online or onsite) is designed for intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.

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

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