AI-Augmented Test Generation and Quality Engineering Training Course

GitHub Copilot is an AI-driven code completion tool designed to accelerate development while enhancing quality and productivity. By integrating AI applications into projects, infrastructure, and software, managers can utilize AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led live training, available online or onsite, targets advanced-level managers keen on deepening their understanding of GitHub Copilot and exploring practical AI applications in corporate settings. The course includes 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

• 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-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) targets advanced developers and AI engineers who wish to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

By the end 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 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 Nigeria (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 live, instructor-led training in Nigeria (available online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, execute 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 automate development tasks, including DevOps operations like writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training (available online or onsite) targets beginner to intermediate professionals who want to use GitHub Copilot to streamline DevOps tasks, enhance 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.

Course Format

• 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 aiming to boost productivity and code quality via 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 designed to boost productivity and reliability across data and machine learning workflows. It achieves this 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 who want to integrate Cursor into their daily workflows. The goal is to enable faster prototyping, scalable pipeline development, and improved model operations.

Upon 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 within ML workflows.

Course Format

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

Customization Options

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

Cursor is an AI-driven code editor crafted to boost developer productivity via intelligent code completions, contextual edits, and adaptive support.

This instructor-led live training (available online or onsite) is designed for beginner developers and engineering teams aiming to streamline their coding workflow and safely leverage AI suggestions for greater 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.
• 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 tailored to specific programming languages or frameworks used by your team.

Cursor is an artificial intelligence-driven development environment designed to boost team collaboration, automate code reviews, and seamlessly integrate with modern CI/CD workflows.

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

After completing this training, participants will be able to:

• Set up and manage team environments in Cursor to facilitate collaborative development.
• Utilize AI tools for automated code reviews, pull request generation, and merge validation.
• Implement code governance, review policies, and security measures using Cursor’s capabilities.
• Integrate Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Course Format

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

Customization Options

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

This instructor-led, live training in Nigeria (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 Nigeria (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 Nigeria (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help 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 Nigeria (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 Nigeria (online or on-site) is designed for developers of all skill levels who want to harness AI for code generation using Tabnine.

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

• Grasp the fundamentals of AI-powered code generation.
• Install and set up Tabnine within their development environment.
• Use Tabnine for efficient code completion and error correction.
• Build and train custom AI models with Tabnine for specialized tasks.

This instructor-led live training in Nigeria (online or onsite) targets intermediate-level Python developers and data scientists seeking to increase their productivity through 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.