AI-Driven Software Development Lifecycle (SDLC) Training Course

GitHub Copilot serves as an AI-driven code completion assistant designed to boost development speed while enhancing both quality and productivity. When combined with broader Artificial Intelligence applications across projects, infrastructure, and software, managers can utilize AI to optimize resource allocation, streamline workflows, and make more informed decisions.

This instructor-led live training (available online or onsite) is tailored for advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications within 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 equipped 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 an advanced AI-powered development environment that enables 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 who wish 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 Kenya (online or onsite) is designed for advanced participants who want to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines to enhance 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 Kenya (online or onsite) targets developers eager to utilize GitHub Copilot Agent Mode for autonomous feature development, automated testing, and efficient management of complex coding tasks.

By the conclusion 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 frameworks.

GitHub Copilot acts as an AI-driven coding assistant designed to automate various development tasks, including DevOps operations such as crafting YAML configurations, GitHub Actions, and deployment scripts.

This live training, led by an instructor and available either online or onsite, targets beginner to intermediate professionals who aim to utilise GitHub Copilot to streamline DevOps tasks, enhance automation, and boost productivity.

Upon completing this training, participants will be able to:

• Employ GitHub Copilot to assist with shell scripting, configuration management, and CI/CD pipelines.
• Utilise AI-powered code completion within YAML files and GitHub Actions.
• Speed up testing, deployment, and automation workflows.
• Apply Copilot responsibly, gaining a clear understanding of AI limitations and best practices.

Format of the Course

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

Course Customization Options

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training session (online or on-site) is designed for intermediate software developers aiming to boost productivity and code quality via AI-assisted coding with Cursor.

Upon completion, participants will be able to:

• Install and configure Cursor for AI-assisted software development.
• Integrate Cursor with Git repositories and streamline development workflows.
• Utilize natural language instructions to generate, debug, and optimize code.
• Harness AI features for refactoring, generating documentation, and testing.

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

This instructor-led, live training (available online or onsite) is targeted at intermediate-level data and ML professionals looking 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:

• 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.

Course Format

• 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 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 online or on-site) targets beginner-level developers and engineering teams looking to streamline their coding processes and safely harness AI suggestions for greater efficiency.

After completing this training, participants will be equipped to:

• Install and set up Cursor for optimal performance in development projects.
• Grasp and utilize AI-assisted code completion, in-editor chat, and refactoring capabilities.
• Effectively assess, accept, or tweak AI-generated code suggestions while ensuring security.
• Implement 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 the specific programming languages or frameworks your team uses.

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

This instructor-led training (available online or onsite) targets intermediate-level technical professionals eager to embed Cursor within their team setups to enhance cooperation, streamline review processes, and uphold quality standards across automated pipelines.

Upon completing this course, participants will be able to:

• Set up and oversee team environments in Cursor for cooperative development.
• Utilize AI tools for automated code reviews, pull request creation, and merge validation.
• Enforce code governance, review policies, and security boundaries using Cursor’s features.
• Connect Cursor with CI/CD systems to guarantee continuous delivery and consistent quality benchmarks.

Course Format

• Instructor-led lectures and collaborative team discussions.
• Practical labs focused on real-world team collaboration scenarios.
• Live exercises integrating Cursor with CI/CD and version control tools.

Customization Options

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

This instructor-led, live training in Kenya (online or on-site) 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 Kenya (online or onsite) is aimed at intermediate-level to advanced-level 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 Kenya (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 Kenya (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 session (delivered online or onsite) is designed for developers ranging from novices to experts who want to utilize AI for code generation through Tabnine.

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

• Understand the core principles of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Use 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 Kenya (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.
• 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.