AI-Driven Software Development Lifecycle (SDLC) Training Course

GitHub Copilot is an AI-driven code completion tool designed to boost development speed while enhancing quality and productivity. When integrated with AI applications across projects, infrastructure, and software, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making processes.

This instructor-led, live training (available online or onsite) is designed for advanced-level managers seeking to deepen their understanding of GitHub Copilot and explore practical AI applications in corporate settings, with 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 an advanced AI-powered development environment that enables 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 South Korea (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 South Korea (online or onsite) is targeted at developers seeking to use GitHub Copilot Agent Mode to autonomously build features, execute 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 various development tasks, including critical DevOps operations such as creating YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available both online and onsite, targets beginner to intermediate professionals aiming to utilize GitHub Copilot to streamline DevOps workflows, enhance automation capabilities, and increase overall productivity.

Upon completing this training, participants will be able to:

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipeline creation.
• Apply AI-powered code completion features within YAML files and GitHub Actions.
• Accelerate the execution of testing, deployment, and automation workflows.
• Implement Copilot responsibly, with a clear understanding of its limitations and adherence to best practices.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange a tailored program.

This instructor-led live training, offered online or onsite, is tailored for intermediate-level software developers seeking 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.

Cursor is an AI-enhanced development environment designed to boost productivity and reliability in data and machine learning processes 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 for faster prototyping, scalable pipeline development, and improved model operations.

Upon 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-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 effortlessly into contemporary CI/CD workflows.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level technical professionals looking to incorporate Cursor into their team settings. The goal is to boost collaboration, streamline review processes, and uphold quality standards across automated pipelines.

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

• Configure and manage team workspaces in Cursor to facilitate collaborative development.
• Utilize AI tools to automate code reviews, generate pull requests, and validate merges.
• Establish code governance, review policies, and security safeguards using Cursor's features.
• Connect Cursor with CI/CD systems to guarantee continuous delivery and consistent quality metrics.

Course Format

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

Customization Options

• The curriculum can be adapted to specific CI/CD platforms, repository management tools, or enterprise security standards.

This instructor-led, live training in South Korea (online or on-site) is designed for beginner to intermediate developers seeking to effectively utilize GitHub Copilot within modern development workflows.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate to advanced participants looking to optimize team workflows, elevate collaborative coding practices, and effectively manage Copilot usage within multi-developer settings.

Upon completing this training, participants will be able to:

• Configure GitHub Copilot for team environments.
• Apply Copilot to strengthen collaborative coding practices.
• Optimize team workflows leveraging Copilot’s capabilities.
• Manage Copilot integration in multi-developer projects.
• Ensure consistent code quality and standards across teams.
• Utilize advanced Copilot features tailored to team-specific requirements.
• Integrate Copilot with other collaborative tools for maximum efficiency.

This instructor-led live training in South Korea (online or on-site) is designed for beginner-level developers seeking to boost their coding efficiency with 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 South Korea (online or onsite) is designed for senior 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 South Korea (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:

• Grasp the fundamentals of AI-driven code generation.
• Set up and configure Tabnine within their development environment.
• Leverage Tabnine for efficient code completion and error correction.
• Build and train custom AI models using Tabnine for specialized tasks.

This instructor-led, live training in South Korea (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.