Generative AI for Front-End Development Training Course

GitHub Copilot is an AI-powered code completion tool that accelerates development while enhancing quality and productivity. When combined with artificial intelligence applications in projects, infrastructure, and software, managers can leverage AI to optimize resource allocation, streamline workflows, and improve decision-making.

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

By the end 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.

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 that empowers engineers to extend, fine-tune, and tailor its coding intelligence to meet the demands of specialized use cases and enterprise-level workflows.

This instructor-led training, available both online and onsite, targets advanced developers and AI engineers who aim to design bespoke prompt systems, refine model behavior, and create custom extensions for internal development automation.

Upon completing this training, participants will be equipped to:

• Design and test sophisticated prompt templates to ensure precise AI behavior.
• Integrate Cursor with internal APIs and knowledge bases to facilitate context-aware code generation.
• Develop fine-tuned or domain-adapted AI models tailored for specific tasks.
• Build and deploy custom tools or adapters that securely extend Cursor’s capabilities.

Course Format

• Technical presentations coupled with 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 standards.

This instructor-led, live training in Turkey (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.

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

• Customize GitHub Copilot for specific project needs and team workflows.
• Leverage advanced features of Copilot for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-powered tools.
• Manage and troubleshoot Copilot settings and permissions effectively.

This instructor-led, live training in Turkey (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to build features autonomously, 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 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.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers who wish to boost productivity and code quality using 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.

Cursor is an AI-enhanced development environment designed to boost productivity and reliability in data and machine learning tasks. It achieves this through intelligent code generation, context-sensitive suggestions, and streamlined documentation processes.

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

Upon completing this course, 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

• 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-driven code editor designed to boost developer productivity through intelligent code suggestions, context-aware edits, and adaptive support.

This instructor-led live training (available online or onsite) targets beginner-level developers and engineering teams looking to streamline their coding processes and safely utilize AI suggestions for greater efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor for optimal performance in development projects.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
• Effectively and securely evaluate, accept, or modify AI-generated code suggestions.
• 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.

Course Customization Options

• This course can be customized 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 with modern CI/CD workflows.

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

After completing this training, participants will be able to:

• Configure and manage team environments in Cursor for effective collaborative development.
• Utilize AI tools to automate code reviews, generate pull requests, and validate merges.
• Implement code governance, review policies, and security safeguards leveraging Cursor’s capabilities.
• Connect Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Course Format

• Instructor-led presentations combined with team-based discussions.
• Hands-on labs featuring 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 Turkey (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 Turkey (online or onsite) is designed for intermediate to advanced participants aiming 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:

• Configure 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 Turkey (online or onsite) is designed for beginner-level developers aiming to boost their coding efficiency with the assistance of Tabnine.

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

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

This instructor-led, live training in Turkey (online or onsite) is designed for advanced-level 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 Turkey (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 Turkey (online or onsite) is aimed at 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.