AI-Driven Software Development Lifecycle (SDLC) Training Course

GitHub Copilot is an AI-driven code completion tool designed to accelerate 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 who wish to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate environments, 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.

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, empowering 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 customized 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 advanced prompt templates for precise AI control.
• Connect Cursor to internal APIs and knowledge bases to enable 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 accompanied by guided demonstrations.
• Hands-on labs focused on development and prompt optimization.
• Practical projects integrating Cursor with real-world enterprise systems.

Course 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 Taiwan (available online or onsite) is targeted at advanced-level participants who aim to customize GitHub Copilot for team projects, leverage its advanced features, and seamlessly integrate it 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 Taiwan (online or onsite) targets 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, encompassing DevOps operations such as crafting YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available either online or on-site, targets beginner to intermediate professionals who aim to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and increase overall productivity.

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

• Utilizing GitHub Copilot to aid in shell scripting, configuration management, and CI/CD pipelines.
• Harnessing AI code completion features within YAML files and GitHub Actions.
• Speeding up testing, deployment, and automation workflows.
• Applying Copilot responsibly by understanding its limitations and adhering to best practices.

Course Format

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

Customization Options for the Course

• To request customized training for this course, please reach out to us to arrange accordingly.

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-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 (online or onsite) targets intermediate-level data and ML professionals who wish 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 designed to boost developer productivity through intelligent code completions, contextual editing, and adaptive assistance.

This instructor-led, live training (available online or on-site) is tailored for 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.

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.

Cursor is an AI-driven development platform designed to boost team collaboration, automate code reviews, and seamlessly integrate with modern CI/CD workflows.

This instructor-led live training, available online or onsite, targets intermediate-level technical professionals looking to incorporate Cursor into their team environments. The goal is to enhance collaboration, streamline code reviews, and uphold quality standards across automated pipelines.

After completing this training, participants will be able to:

• Configure and manage team workspaces in Cursor for effective 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 benchmarks.

Course Format

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

Customization Options

• The course content can be tailored to specific CI/CD platforms, repository tools, or enterprise security requirements.

This instructor-led, live training in Taiwan (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 Taiwan (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 session in Taiwan (available online or in-person) is designed for beginner-level developers who want to boost 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 Taiwan (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 Taiwan (online or on-site) 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 Taiwan (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.