LLMs for Code Understanding, Refactoring, and Documentation Training Course

GitHub Copilot is an AI-driven code completion tool designed to boost development speed while enhancing code 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 looking to deepen their understanding of GitHub Copilot and explore practical AI applications within corporate settings. 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 features in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows to maximize efficiency.
• Use AI tools to optimize project management, infrastructure, and software procurement.
• Implement AI-based strategies to enhance planning, estimation, and time management.
• Identify practical AI applications in industry-specific scenarios, such as 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 a customized version of this course, please contact us to make arrangements.

Cursor is a sophisticated, AI-driven development environment that enables engineers to extend, refine, and customize its coding intelligence for specialized use cases and enterprise workflows.

This instructor-led live training (available online or onsite) targets advanced developers and AI engineers who aim to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

Upon completing this training, participants will be able to:

• Design and test advanced prompt templates to ensure 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 securely extend Cursor’s functionality.

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 Sweden (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 Sweden (online or onsite) is aimed at 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 various development tasks, encompassing DevOps activities such as authoring YAML configurations, GitHub Actions, and deployment scripts.

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

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

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipelines.
• Harness AI-driven code completion features within YAML files and GitHub Actions.
• Speed up testing, deployment, and automation workflows.
• Implement Copilot responsibly by understanding its limitations and adhering to best practices.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live lab environment.

Course Customization Options

• For customized training requests regarding this course, please contact us to arrange details.

This instructor-led, live training (available online or onsite) is designed for intermediate software developers aiming to enhance their 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 streamline development workflows.
• Utilize 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 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 aim 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:

• 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 intelligent code editor powered by AI, designed to boost developer productivity through smart code completions, contextual edits, and adaptive support.

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

After completing this training, participants will be able to:

• Install and configure Cursor for optimal integration into 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.

Format of the Course

• 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 tailored to the specific programming languages or frameworks utilized by your team.

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

This instructor-led live training, available both online and onsite, targets intermediate-level technical professionals aiming to incorporate Cursor into their team settings to enhance collaboration, streamline review processes, and uphold quality standards across automated pipelines.

After completing this training, participants will be equipped to:

• Configure and oversee team environments in Cursor for efficient collaborative development.
• Utilize AI tools to automate code reviews, generate pull requests, and validate merges.
• Apply code governance, review policies, and security guardrails leveraging Cursor’s features.
• Connect Cursor with CI/CD systems to guarantee continuous delivery and consistent quality benchmarks.

Course Format

• Instructor-led presentations complemented by team-based discussions.
• Practical labs utilizing real-world team collaboration scenarios.
• Live integration exercises involving CI/CD and version control tools.

Course Customization Options

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

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

Upon completing this training, participants will be equipped to:

• Configure GitHub Copilot for team environments.
• Employ Copilot to strengthen collaborative coding practices.
• Enhance team workflows utilizing Copilot’s capabilities.
• Oversee Copilot’s integration within 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 greater efficiency.

This instructor-led, live training in Sweden (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 Sweden (online or onsite) is designed for advanced developers and team leads who want 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 Sweden (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 Sweden (online or on-site) is aimed at intermediate Python developers and data scientists who wish to enhance their productivity with the aid 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.