AI-Driven Software Development Lifecycle (SDLC) Training Course

This advanced course on Greece explores the integration of GitHub Copilot and AI applications within corporate infrastructure. It empowers managers with the skills necessary to optimize project oversight, streamline operational workflows, and improve decision-making through AI tools, with a particular emphasis on large-scale projects.

This instructor-led training in Greece enables advanced developers to master 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 for enterprise workflows.

This instructor-led, live training in Greece (online or onsite) is designed for advanced-level learners aiming to customize GitHub Copilot for team projects, leverage its sophisticated features, and integrate it smoothly into CI/CD pipelines to improve collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project needs and team workflows.
• Harness advanced Copilot features for complex coding assignments.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Enhance team collaboration through AI-enabled tools.
• Manage and troubleshoot Copilot configurations and permissions efficiently.

This instructor-led, live training held in Greece (available online or onsite) is designed for developers aiming to use GitHub Copilot's Agent Mode to autonomously build features, execute tests, and manage complex coding tasks.

By the end of this course, participants will be equipped to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and establish enterprise governance protocols.

This instructor-led live course (available online or on-site) targets intermediate-level software developers aiming to improve productivity and code quality through AI-assisted coding with Cursor.

By the conclusion of this training, participants will be capable of:

• Setting up and configuring Cursor for AI-driven software development.
• Connecting Cursor with Git repositories and standard development workflows.
• Utilizing natural language commands to generate, debug, and optimize code.
• Harnessing AI capabilities to streamline refactoring, documentation, and testing processes.

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

This instructor-led training in Greece guides developers in adopting Cursor, an AI-enhanced editor that increases productivity through smart completions and contextual edits. Learners will acquire practical skills in refactoring, secure review of AI suggestions, and team collaboration to refine their workflows.

This live, instructor-led training in Greece supports teams in adopting Cursor to optimize collaboration and code review cycles. Participants will learn to oversee workspaces, automate AI-supported pull requests, enforce governance standards, and link Cursor to CI/CD pipelines for consistent quality assurance.

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

This instructor-led, live training in Greece (online or onsite) is designed for intermediate to advanced participants who aim to optimize team workflows, enhance collaborative coding techniques, and effectively manage Copilot usage within multi-developer settings.

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

• Configure GitHub Copilot for team-based environments.
• Employ Copilot to strengthen collaborative coding practices.
• Enhance team workflows through Copilot’s capabilities.
• Oversee Copilot’s integration in projects with multiple developers.
• Sustain consistent code quality and standards across all teams.
• Apply advanced Copilot features to meet specific team requirements.
• Integrate Copilot with other collaborative tools for greater efficiency.

This instructor-led, live training in Greece (online or onsite) targets beginner-level developers who wish to boost their coding efficiency with the help of Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Leverage Tabnine's autocomplete capabilities to expedite the coding process.
• Customize Tabnine's settings to achieve optimal support.
• Grasp how Tabnine's AI analyzes their code to deliver more accurate suggestions.

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

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

• Deploy Tabnine within complex software projects.
• Customize and train Tabnine's AI models for specific use cases.
• Integrate Tabnine into team workflows and development pipelines.
• Improve code quality and accelerate development cycles leveraging Tabnine's insights.

This instructor-led, live training conducted in Greece (online or on-site) is designed for developers from novice to expert levels who wish to utilize AI for code generation through Tabnine.

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

• Understand the core principles of AI-powered code generation.
• Install and configure Tabnine in their specific 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 Greece (online or on-site) is designed for intermediate Python developers and data scientists who wish to enhance their productivity with the assistance of Tabnine.

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

• Install and set up Tabnine within their Python development environment.
• Utilize Tabnine’s autocomplete capabilities to write Python code more efficiently.
• Customize Tabnine’s behavior to align with their personal coding style and project requirements.
• Gain insight into how Tabnine’s AI model processes and supports Python code.