AI-Driven Software Development Lifecycle (SDLC) Training Course

GitHub Copilot is an AI-driven code completion tool designed to accelerate development processes while enhancing both quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software management, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making capabilities.

This instructor-led live training (available online or onsite) is tailored for advanced-level managers seeking to deepen their expertise in GitHub Copilot and explore practical AI applications within corporate settings, featuring 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 functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows to maximize efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to enhance planning, estimation, and time optimization.
• Identify practical AI applications in industry-specific scenarios, such as those found in oil and gas.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

Cursor is a sophisticated, AI-driven 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 (available online or onsite) targets 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 live, instructor-led training conducted in Vietnam (online or on-site) targets advanced learners who aim to customize GitHub Copilot for team projects, exploit its advanced features, and integrate it smoothly into CI/CD pipelines to improve collaboration and productivity.

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

• Adapt GitHub Copilot to meet specific project needs and team workflows.
• Apply advanced Copilot features for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

This instructor-led, live training in Vietnam (online or onsite) is designed for developers who want 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 streamline development workflows, including essential DevOps functions such as creating YAML configurations, setting up GitHub Actions, and scripting deployments.

This instructor-led training session, available both online and onsite, targets beginner to intermediate-level professionals eager to leverage GitHub Copilot for optimizing DevOps processes, enhancing automation capabilities, and increasing overall productivity.

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

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipeline development.
• Harness AI-powered code completion within YAML files and GitHub Actions workflows.
• Speed up testing procedures, deployment routines, and automation efforts.
• Deploy Copilot responsibly by gaining insight into AI limitations and adopting industry best practices.

Course Format

• Interactive lectures coupled with group discussions.
• Ample opportunities for exercises and hands-on practice.
• Practical implementation within a live-lab environment.

Course Customization Options

• For personalized training arrangements, please reach out to us.

This instructor-led, live training session (available online or onsite) targets intermediate-level software developers aiming to enhance 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 streamline development workflows.
• Utilize natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, documentation, and testing purposes.

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

This instructor-led live training (online or onsite) targets intermediate-level data and ML professionals seeking to integrate Cursor into their daily routines for faster prototyping, scalable pipeline development, and enhanced model operations. <\/p>

Upon completing this training, participants will be able to: <\/p>

• Utilize Cursor to expedite notebook creation and code exploration. <\/li>
• Generate, refactor, and document ETL and feature engineering pipelines. <\/li>
• Leverage AI-assisted coding for model training, tuning, and evaluation. <\/li>
• Improve reproducibility, collaboration, and operational consistency in ML workflows. <\/li> <\/ul>

  Course Format<\/strong> <\/p>

  • Interactive lectures and live demonstrations. <\/li>
  • Practical, hands-on exercises in live coding environments. <\/li>
  • Case studies combining Cursor with ML pipelines and model ops tools. <\/li> <\/ul>

    Customization Options<\/strong> <\/p>

    • The training can be tailored to specific frameworks like TensorFlow, PyTorch, or scikit-learn, or customized for organizational MLOps platforms. <\/li> <\/ul>