AI-Driven Software Development Lifecycle (SDLC) Training Course

This advanced training on Czech Republic explores GitHub Copilot and AI applications for corporate infrastructure. It provides managers with the skills necessary to optimize project management, streamline workflows, and enhance decision-making through AI tools, with a specific focus on large-scale project requirements.

This instructor-led course in Czech Republic empowers advanced developers to excel in prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions tailored for enterprise workflows.

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 live, instructor-led training in Czech Republic (online or on-site) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run 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.

This live, instructor-led session, available online or on-site, targets intermediate software developers aiming to enhance productivity and code quality via AI-assisted coding in Cursor.

By the end of the program, attendees will be able to:

• Install and set up Cursor for AI-supported development.
• Integrate Cursor into Git repositories and development workflows.
• Leverage natural language to create, troubleshoot, and optimize code.
• Use AI capabilities to manage refactoring, documentation, and testing.

This instructor-led training in Czech Republic presents Cursor as an AI-powered environment to accelerate data and ML workflows. Participants will learn to streamline notebook development, ETL pipelines, and model operations through practical exercises that enhance productivity and operational consistency.

This instructor-led course on Czech Republic assists developers in adopting Cursor, an AI-enhanced editor that increases productivity through intelligent completions and context-aware edits. Learners acquire practical skills in refactoring, safely reviewing AI suggestions, and team collaboration to optimize their workflows.

This live, instructor-led training in Czech Republic assists teams in integrating Cursor to streamline collaboration and code reviews. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and connect Cursor to CI/CD pipelines for consistent quality.

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.