AI-Driven Software Development Lifecycle (SDLC) Training Course

This advanced program on Romania focuses on GitHub Copilot and AI applications for corporate infrastructure. It provides managers with the competencies needed to enhance project management, optimize workflows, and improve decision-making through AI tools, with a specific emphasis on large-scale projects.

This instructor-led training in Romania helps advanced developers 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 Romania (offered online or on-site) targets advanced-level attendees who want to customize GitHub Copilot for team projects, leverage its sophisticated features, and integrate it into CI/CD pipelines to improve collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project requirements and team workflows.
• Apply Copilot’s advanced capabilities to address complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-enabled tools.
• Effectively manage and troubleshoot Copilot settings and user permissions.

This instructor-led, live training in Romania (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.

This instructor-led live training session, available both online and onsite, is tailored for intermediate-level software developers looking to enhance productivity and code quality through AI-assisted workflows with Cursor.

Upon completion of this course, participants will be equipped to:

• Install and configure Cursor to support AI-assisted software development.
• Integrate Cursor with Git repositories and existing development workflows.
• Utilize natural language prompts to generate, debug, and optimize code.
• Apply AI capabilities for code refactoring, documentation, and testing.

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

This instructor-led training in Romania guides developers in adopting Cursor, an AI-powered editor that enhances productivity through smart completions and contextual editing. Participants will develop practical skills in refactoring, safely reviewing AI suggestions, and fostering team collaboration to optimize workflows.

This live, instructor-led training in Romania assists teams in adopting Cursor to enhance collaboration and streamline code reviews. Participants 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 Romania (online or onsite) targets beginner to intermediate-level developers seeking to learn how to effectively harness the capabilities of GitHub Copilot within modern development workflows.

This instructor-led, live training in Romania (online or onsite) is designed for 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 Romania (online or onsite) is tailored for beginner-level developers aiming to boost their coding efficiency with Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to accelerate 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 Romania (online or onsite) is aimed at advanced-level developers and team leads who wish to master 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 Romania (online or onsite) is designed for developers from novice to expert levels who wish to utilize 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 Romania (online or onsite) is designed for intermediate-level Python developers and data scientists who want to increase their productivity with the assistance of Tabnine.

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

• Install and configure Tabnine in their Python development environment.
• Utilize Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine's behavior to suit their coding style and project needs.
• Understand how Tabnine's AI model specifically works with Python code.