AI-Driven Software Development Lifecycle (SDLC) Training Course

This advanced training in Turkey focuses on GitHub Copilot and AI applications for corporate infrastructure. It equips 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 projects.

This instructor-led training in Turkey enables advanced developers to excel in prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to define precise AI behaviors, integrate internal knowledge bases, and construct secure, domain-adapted extensions for enterprise environments.

This instructor-led, live training in Turkey (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 Turkey (offered online or onsite) targets developers looking to utilize GitHub Copilot Agent Mode for autonomous feature building, automated testing, and efficient management of larger coding tasks.

By the end of this session, participants will be able to activate Agent Mode, manage planning and iteration within the agent loop, execute terminal commands, and establish enterprise governance frameworks.

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

Upon completing this program, attendees will be equipped to:

• Set up and configure Cursor for AI-enhanced software development.
• Seamlessly integrate Cursor with Git repositories and established development workflows.
• Utilize natural language commands to generate, debug, and optimize code.
• Apply AI capabilities to streamline refactoring, documentation, and testing processes.

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

This live, instructor-led course in Turkey guides developers in adopting Cursor, an AI-enhanced editor that increases productivity through smart completions and context-specific edits. Learners develop practical skills in refactoring, verifying AI suggestions for safety, and enhancing team collaboration to optimize their workflows.

This live, instructor-led training in Turkey assists teams in integrating Cursor to refine collaboration and code review processes. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and link Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training in Turkey (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 Turkey (online or onsite) is designed for intermediate to advanced participants aiming 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:

• Configure 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 Turkey (online or onsite) is designed for beginner-level developers aiming to boost their coding efficiency with the assistance of Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Use 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 Turkey (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 Turkey (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 Turkey (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.