From Idea to Production with Claude Code Training Course

GitHub Copilot serves as an AI-driven code completion solution designed to boost development speed while enhancing both quality and efficiency. When combined with artificial intelligence applications across projects, infrastructure, and software, managers can utilize AI to optimize resource distribution, streamline processes, and improve decision-making capabilities.

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 within corporate settings. 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:

• Utilize advanced Copilot features 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

• 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 is a sophisticated AI-driven development environment enabling engineers to extend, fine-tune, and customize its coding intelligence for specialized applications 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 completing this training, participants will be able to:

• Design and test sophisticated prompt templates to achieve precise AI responses.
• Integrate Cursor with internal APIs and knowledge bases for context-aware code generation.
• Create fine-tuned or domain-adapted AI models for specific tasks.
• Build and deploy secure custom tools or adapters that expand Cursor’s capabilities.

Course Format

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization labs.
• Practical projects integrating 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 Greece (online or onsite) is designed for advanced-level learners aiming to customize GitHub Copilot for team projects, leverage its sophisticated features, and integrate it smoothly into CI/CD pipelines to improve collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project needs and team workflows.
• Harness advanced Copilot features for complex coding assignments.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Enhance team collaboration through AI-enabled tools.
• Manage and troubleshoot Copilot configurations and permissions efficiently.

This instructor-led, live training held in Greece (available online or onsite) is designed for developers aiming to use GitHub Copilot's Agent Mode to autonomously build features, execute tests, and manage complex coding tasks.

By the end of this course, participants will be equipped to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and establish enterprise governance protocols.

GitHub Copilot is an AI-driven coding assistant designed to streamline development tasks, including key DevOps operations such as drafting YAML configurations, crafting GitHub Actions, and building deployment scripts.

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

Upon completing this training, participants will be equipped to:

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipelines.
• Harness AI-powered code completion within YAML files and GitHub Actions.
• Speed up testing, deployment, and automation processes.
• Apply Copilot responsibly, with a clear understanding of AI limitations and industry best practices.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and hands-on practice sessions.
• Practical implementation in a live lab environment.

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training, available online or on-site, is designed for intermediate software developers looking to enhance their productivity and code quality through AI-assisted coding with Cursor.

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

• Install and set up Cursor for AI-assisted software development.
• Connect Cursor with Git repositories and integrate it into existing development workflows.
• Utilize natural language prompts to generate, debug, and optimize code.
• Apply AI features for refactoring, creating documentation, and running tests.

Cursor is an AI-driven development environment designed to boost productivity and reliability across 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 who want 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:

• Use 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

• 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.

Cursor is an AI-enhanced code editor crafted to elevate developer productivity via intelligent code completions, context-sensitive edits, and adaptive assistance.

This instructor-led, live training (available online or onsite) targets beginner-level developers and engineering teams aiming to streamline their coding workflow and safely utilise AI suggestions for improved 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 Customisation Options

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

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

This live, instructor-led training, available online or onsite, targets intermediate technical professionals seeking to incorporate Cursor into their team environments to foster better collaboration, streamline review processes, and uphold quality standards across automated pipelines.

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

• Configure and manage team environments in Cursor to facilitate collaborative development.
• Utilize AI-driven tools for automated code reviews, pull request creation, and merge validation.
• Enforce code governance, review policies, and security protocols using Cursor's features.
• Connect Cursor with CI/CD systems to guarantee continuous delivery and consistent quality.

Course Format

• Instructor-led sessions combined with team-based discussions.
• Practical labs simulating 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 management tools, or enterprise security needs.

This instructor-led, live training in Greece (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to effectively utilize the capabilities of GitHub Copilot within modern development workflows.

This instructor-led, live training in Greece (online or onsite) is designed for intermediate to advanced participants who aim to optimize team workflows, enhance collaborative coding techniques, and effectively manage Copilot usage within multi-developer settings.

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

• Configure GitHub Copilot for team-based environments.
• Employ Copilot to strengthen collaborative coding practices.
• Enhance team workflows through Copilot’s capabilities.
• Oversee Copilot’s integration in projects with multiple developers.
• Sustain consistent code quality and standards across all teams.
• Apply advanced Copilot features to meet specific team requirements.
• Integrate Copilot with other collaborative tools for greater efficiency.

This instructor-led, live training in Greece (online or onsite) targets beginner-level developers who wish to boost their coding efficiency with the help of Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Leverage Tabnine's autocomplete capabilities to expedite the coding process.
• Customize Tabnine's settings to achieve optimal support.
• Grasp how Tabnine's AI analyzes their code to deliver more accurate suggestions.

This instructor-led, live training in Greece (online or onsite) is designed for advanced developers and team leads aiming to master the advanced features of Tabnine.

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

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

This instructor-led, live training conducted in Greece (online or on-site) is designed for developers from novice to expert levels who wish to utilize AI for code generation through Tabnine.

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

• Understand the core principles of AI-powered code generation.
• Install and configure Tabnine in their specific 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 Greece (online or on-site) is designed for intermediate Python developers and data scientists who wish to enhance their productivity with the assistance of Tabnine.

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

• Install and set up 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 personal coding style and project requirements.
• Gain insight into how Tabnine’s AI model processes and supports Python code.