AI-Driven Software Development Lifecycle (SDLC) Training Course

This advanced training on Slovakia focuses on GitHub Copilot and AI applications for corporate infrastructure. It empowers managers with the skills to optimize project management, streamline workflows, and enhance decision-making through AI tools, with a particular emphasis on large-scale projects.

This instructor-led training on Slovakia empowers advanced developers to excel in prompt engineering, model fine-tuning, and custom tooling within the Cursor ecosystem. Participants will learn to define precise AI behaviors, integrate internal knowledge bases, and construct secure, domain-adapted extensions to support enterprise workflows.

This instructor-led, live training held in Slovakia (online or onsite) is designed for advanced participants who aim to customize GitHub Copilot for team projects, leverage 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:

• Customize GitHub Copilot to align with 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 Slovakia (online or onsite) targets developers aiming to use GitHub Copilot Agent Mode for autonomous feature building, test execution, and management of large-scale 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 standards.

This live, instructor-led training (online or on-site) targets intermediate-level software developers seeking to elevate productivity and code quality through AI-assisted coding with Cursor.

By the end of this session, 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.

This instructor-led training in Slovakia presents Cursor as an AI-powered solution to expedite data and ML workflows. Through practical exercises, participants will learn how to streamline notebook development, ETL pipelines, and model operations, thereby enhancing overall productivity and operational consistency.

This instructor-led training on Slovakia assists developers in adopting Cursor, an AI-powered editor that elevates productivity through intelligent completions and context-sensitive edits. Learners develop practical skills in refactoring, the secure review of AI suggestions, and team collaboration to optimize their workflows.

This live, instructor-led training in Slovakia supports teams in integrating Cursor to optimize collaboration and code reviews. You will learn to manage workspaces, automate AI-assisted PRs, enforce governance policies, and link Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training in Slovakia (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 Slovakia (online or onsite) targets intermediate to advanced 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 Slovakia (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 Slovakia (online or onsite) is designed for advanced-level developers and team leads seeking to master the advanced features of Tabnine.

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

• Implement Tabnine within 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 Slovakia (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 Slovakia (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.