Introduction to AI Coding Assistants Training Course

GitHub Copilot serves as an AI-driven code completion assistant designed to boost development speed, enhance code quality, and increase overall productivity. When integrated with broader Artificial Intelligence applications within projects, infrastructure, and software ecosystems, managers can utilize AI to optimize resource distribution, streamline operational workflows, and improve decision-making processes.

This instructor-led live training, available both online and onsite, is tailored for advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications in corporate settings. The curriculum includes 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 features within large-scale corporate projects.
• Embed Copilot into multidisciplinary workflows to maximize efficiency.
• Harness AI tools to optimize project management, infrastructure, and software acquisition processes.
• Deploy AI-based strategies to enhance planning, estimation accuracy, and time optimization.
• Identify practical AI applications in industry-specific contexts, such as the oil and gas sector.

Course Format

• Interactive lectures and group discussions.
• Practical exercises and real-world case studies.
• Live laboratory demonstrations of AI tools and Copilot workflows.

Customization Options

• For customized training arrangements, please contact us.

Cursor is a sophisticated AI-powered development environment enabling 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 developers and AI engineers who aim to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

By the end 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.

Course Format

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization labs.
• Practical projects integrating Cursor with real-world enterprise systems.

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 Czech Republic (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 Czech Republic (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 development tasks, including DevOps operations such as creating YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led training session, available both online and onsite, is tailored for beginner to intermediate-level professionals who want to leverage GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity.

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

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

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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 on-site) is designed for intermediate-level software developers looking to enhance their productivity and code quality through AI-assisted coding with Cursor.

Upon completing 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 within data and machine learning workflows. It achieves this 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 looking to integrate Cursor into their daily routines. The goal is to facilitate faster prototyping, scalable pipeline development, and improved 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.
• Leverage AI-assisted code for model training, tuning, and evaluation.
• Improve reproducibility, collaboration, and operational consistency in ML workflows.

Course Format

• 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 built to improve developer productivity through intelligent code completions, context-aware edits, and adaptive support.

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

After completing 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.

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 modern CI/CD workflows.

This instructor-led live training (available online or onsite) targets intermediate-level technical professionals seeking to embed Cursor into their team environments to boost collaboration, streamline code 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 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 ensure continuous delivery and consistent quality benchmarks.

Course Format

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

Customization Options

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

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to effectively leverage the capabilities of GitHub Copilot within modern development workflows.

This instructor-led, live training in Czech Republic (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 in Czech Republic (online or on-site) is designed for beginner-level developers who aim to enhance 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 Czech Republic (online or onsite) is designed for advanced-level 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 Czech Republic (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 Czech Republic (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.