AI-Driven Software Development Lifecycle (SDLC) Training Course

GitHub Copilot is an AI-driven code completion assistant designed to accelerate development while enhancing quality and productivity. When integrated with AI applications across projects, infrastructure, and software, managers can harness artificial intelligence to optimize resource distribution, streamline operational workflows, and improve decision-making processes.

This instructor-led training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications within corporate settings. The course features examples pertinent to large-scale projects and industries such as oil and gas.

Upon completion of this training, participants will be capable of:

• Applying advanced Copilot capabilities in large-scale corporate projects.
• Integrating Copilot into multidisciplinary workflows to maximize efficiency.
• Utilizing AI tools to optimize project management, infrastructure, and software procurement.
• Implementing AI-driven strategies to enhance planning, estimation, and time management.
• Identifying practical AI applications in industry-specific contexts, such as oil and gas.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To request customized training for this course, please contact us to arrange your session.

Cursor is an advanced AI-powered development environment that empowers engineers to extend, fine-tune, and customize its coding intelligence for specialized use cases and enterprise workflows.

This instructor-led, live training (available online or onsite) is designed for advanced-level developers and AI engineers seeking to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

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

• Design and test advanced prompt templates for precise AI behavior.
• Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
• Develop fine-tuned or domain-adapted AI models for specialized tasks.
• Build and deploy custom tools or adapters that extend Cursor’s functionality securely.

Format of the Course

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization labs.
• Practical projects integrating Cursor with real-world enterprise systems.

Course Customization Options

• This course can be customized to align with specific internal architectures, AI frameworks, or security compliance requirements.

This instructor-led, live training in Italy (online or onsite) is designed for advanced participants who want to customize GitHub Copilot for team initiatives, exploit its advanced functionalities, and seamlessly integrate it into CI/CD pipelines to boost collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project requirements and team workflows.
• Utilize Copilot’s advanced features for tackling complex coding challenges.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Enhance team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

This instructor-led, live training in Italy (online or onsite) is designed for 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.

GitHub Copilot is an AI-driven coding assistant designed to streamline development tasks, including DevOps activities such as authoring YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals aiming to leverage GitHub Copilot to optimize DevOps processes, enhance automation, and increase productivity.

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

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipelines.
• Apply AI-driven code completion within YAML files and GitHub Actions.
• Speed up testing, deployment, and automation workflows.
• Implement Copilot responsibly by understanding AI limitations and adhering to best practices.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live lab environment.

Course Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for intermediate-level software developers seeking to enhance their productivity and code quality through AI-assisted coding using Cursor.

Upon completing this training, participants will be able to:

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

Cursor is an AI-driven development environment designed to boost productivity and reliability in data and machine learning workflows through intelligent code generation, context-aware suggestions, and streamlined documentation.

This instructor-led live training (available online or on-site) is designed for intermediate-level data and ML professionals who want to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.

Upon completing this training, participants will be able to:

• Use Cursor to accelerate notebook development and code exploration.
• Generate, refactor, and document ETL and feature engineering pipelines.
• Leverage AI-assisted code for model training, tuning, and evaluation.
• Enhance reproducibility, collaboration, and operational consistency in ML workflows.

Course Format

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model operations tools.

Course Customization Options

• This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.

Cursor is an intelligent, AI-driven code editor crafted to elevate developer productivity via smart code completions, context-aware edits, and adaptive support.

This instructor-led live training, available either online or onsite, targets beginner-level developers and engineering teams aiming to streamline their coding workflow and safely utilize AI suggestions to boost efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor for peak performance in development projects.
• Understand and implement AI-assisted code completion, in-editor chat, and refactoring tools.
• Effectively and securely evaluate, accept, or modify AI-generated code suggestions.
• Adopt best practices for team onboarding, collaboration, and version control integration.

Course Format

• Interactive lectures and discussions.
• Hands-on demonstrations and guided exercises.
• Real-world coding challenges and lab practice using Cursor.

Course Customization Options

• This course can be customized to align with the specific programming languages or frameworks your team uses.

Cursor is an AI-driven development environment designed to boost team collaboration, automate code reviews, and integrate seamlessly into contemporary CI/CD workflows.

This instructor-led, live training session (available online or onsite) targets intermediate-level technical professionals seeking to incorporate Cursor into their team environments. The goal is to enhance collaboration, streamline review processes, and uphold quality standards across automated pipelines.

Upon completing this training, participants will be able to:

• Configure and manage team environments in Cursor for effective collaborative development.
• Utilize AI tools to automate code reviews, generate pull requests, and validate merges.
• Establish code governance, review policies, and security guidelines using Cursor’s features.
• Connect Cursor with CI/CD systems to guarantee continuous delivery and consistent quality benchmarks.

Course Format

• Instructor-led presentations complemented by team-based discussions.
• Hands-on labs centered on real-world team collaboration scenarios.
• Live integration exercises involving CI/CD and version control tools.

Customization Options

• The course can be tailored to specific CI/CD platforms, repository tools, or enterprise security standards.

This instructor-led, live training in Italy (online or onsite) targets beginner to intermediate developers who wish to learn how to effectively utilize GitHub Copilot's capabilities within modern development workflows.

This instructor-led, live training in Italy (available online or onsite) targets intermediate to advanced participants who want to optimize team workflows, enhance collaborative coding practices, and manage Copilot usage effectively in multi-developer environments.

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

• Configure GitHub Copilot for team environments.
• Use 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 Italy (online or on-site) is designed for beginner-level developers seeking to boost their coding efficiency with the assistance 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 Italy (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 Italy (online or onsite) targets developers of all skill levels—from beginners to experts—who wish to harness AI for code generation with Tabnine.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of AI-powered code generation.
• Install and configure Tabnine within their development environment.
• Leverage Tabnine for efficient code completion and error correction.
• Develop and train custom AI models with Tabnine to handle specialized tasks.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate-level Python developers and data scientists aiming to boost their productivity with Tabnine.

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

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