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 utilize AI to optimize resource allocation, streamline workflows, and improve decision-making.

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 in corporate environments. 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:

• Apply 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 improve planning, estimation, and time optimization.
• Identify 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 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 want to design tailored prompt systems, refine model behavior, and build custom extensions for internal development automation.

Upon completion 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 Bulgaria (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 Bulgaria (online or onsite) targets developers who want to use GitHub Copilot Agent Mode to autonomously build features, execute tests, and handle 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 like creating YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available both online and onsite, targets beginner to intermediate-level professionals aiming to leverage GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity.

Upon completing this training, participants will be able to:

• Utilize GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Leverage AI code completion within YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly, understanding its limitations and best practices.

Format of the Course

• Interactive lecture and discussion.
• Abundant exercises and practice opportunities.
• 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 (available online or onsite) targets intermediate-level software developers looking to enhance productivity and code quality through AI-assisted coding with 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 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 in data and machine learning processes. It achieves this through intelligent code generation, context-aware suggestions, and efficient documentation workflows.

This instructor-led live training (available online or on-site) targets intermediate data and ML professionals seeking to integrate Cursor into their daily routines. The goal is to enable faster prototyping, scalable pipeline development, and enhanced model operations.

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

• Utilize Cursor to speed up notebook development and code exploration.
• Generate, refactor, and document ETL and feature engineering pipelines.
• Apply AI-assisted code for model training, hyperparameter tuning, and evaluation.
• Improve reproducibility, team collaboration, and operational consistency within ML workflows.

Course Format

• Interactive lectures and live demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies demonstrating the integration of Cursor with ML pipelines and model ops tools.

Course Customization Options

• The training can be customized to align with specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to match your organization's MLOps platforms.

Cursor is an intelligent, AI-driven code editor crafted to elevate developer productivity by offering smart code completions, context-aware edits, and adaptive support.

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

After completing this training, participants will be able to:

• Install and configure Cursor to maximize its utility in development projects.
• Comprehend and implement AI-assisted code completion, in-editor chat, and refactoring capabilities.
• Effectively and securely evaluate, accept, or modify code suggestions generated by AI.
• Implement best practices for team onboarding, collaboration, and version control integration.

Course Format

• Interactive lectures and discussions.
• Practical demonstrations and guided exercises.
• Real-world coding challenges and hands-on lab practice using Cursor.

Customization Options

• This course can be customized to align with the specific programming languages or frameworks used by your team.

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

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

After completing this training, participants will be able to:

• Configure and manage team environments in Cursor for 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 ensure continuous delivery and consistent quality.

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.

Customization Options

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

This instructor-led, live training in Bulgaria (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 Bulgaria (online or onsite) targets intermediate to advanced participants who wish to refine team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

Upon completing this training, participants will be capable of:

• Configuring GitHub Copilot for team-based environments.
• Employing Copilot to strengthen collaborative coding habits.
• Enhancing team workflows through Copilot’s capabilities.
• Overseeing Copilot’s integration within multi-developer projects.
• Upholding consistent code quality and standards across all team members.
• Utilizing advanced Copilot features tailored to specific team requirements.
• Integrating Copilot with other collaborative tools to maximize efficiency.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at beginner-level developers who wish to increase 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 Bulgaria (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 Bulgaria (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 Bulgaria (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.