AI-Driven Software Development Lifecycle (SDLC) Training Course

GitHub Copilot is an AI-driven code completion tool designed to accelerate development while enhancing quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led live training (available online or onsite) targets advanced-level managers seeking to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate settings, with examples relevant to large-scale projects and industries such as oil and gas.

Upon completing this training, participants will be able to:

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

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

Cursor is a sophisticated, AI-driven development environment that enables engineers to extend, fine-tune, and customize its coding intelligence to meet specialized use cases and enterprise workflows.

This instructor-led live training (available online or onsite) targets advanced developers and AI engineers looking to design tailored prompt systems, refine model behavior, and construct custom extensions for internal development automation.

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

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

Course Format

• Technical presentations and guided demonstrations.
• Hands-on development sessions 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 France (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 6loc7] (online or onsite) targets developers aiming 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-powered coding assistant that aids in automating development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.

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

• Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Leverage AI code completion in YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly with an understanding of AI limitations and best practices.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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

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

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

Cursor is an AI-driven development environment that boosts 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 onsite) targets intermediate-level data and ML professionals looking to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.

After completing this training, participants will be able to:

• Utilize 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.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model ops 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 AI-driven code editor aimed at improving developer productivity through smart code completions, context-aware edits, and adaptive support.

This instructor-led live training, available online or onsite, is designed for beginner-level developers and engineering teams looking to streamline their coding workflows and safely utilize AI suggestions to enhance efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor for optimal use in development projects.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
• Evaluate, accept, or modify AI-generated code suggestions effectively and securely.
• 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.

Customization Options

• This course can be tailored to specific programming languages or frameworks used by your team.

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

This instructor-led live training, available online or onsite, targets intermediate-level technical professionals looking to incorporate Cursor into their team environments. The goal is to improve 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 to facilitate collaborative development.
• Utilize AI tools for automated code reviews, creating pull requests, and validating merges.
• Establish code governance, review policies, and security guardrails using Cursor’s features.
• Connect Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Course Format

• Instructor-led presentations combined with team-based discussions.
• Practical labs based on real-world team collaboration scenarios.
• Live integration exercises involving CI/CD and version control tools.

Course Customization Options

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

This instructor-led, live training in France (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 session in France (online or onsite) targets intermediate to advanced professionals aiming to refine team workflows, strengthen collaborative coding habits, and effectively oversee Copilot usage within multi-developer settings.

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

• Configuring GitHub Copilot for team-based environments.
• Applying Copilot to improve collaborative coding techniques.
• Refining team workflows through Copilot’s capabilities.
• Administering Copilot’s integration across multi-developer initiatives.
• Ensuring uniform code quality and standards among team members.
• Harnessing advanced Copilot features tailored to specific team requirements.
• Integrating Copilot with other collaborative tools to maximize efficiency.

This instructor-led live training in France (online or onsite) is targeted at beginner-level developers looking to enhance their coding efficiency with Tabnine.

Upon completion 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 France (online or onsite) is designed for advanced 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 France (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 France (online or onsite) is designed for intermediate-level Python developers and data scientists aiming to enhance their productivity with Tabnine.

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

• Install and configure 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 coding style and project requirements.
• Gain insight into how Tabnine's AI model operates specifically with Python code.