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 quality and productivity. When combined with AI applications across projects, infrastructure, and software management, leaders can harness these technologies to optimize resource distribution, streamline operational workflows, and improve strategic decision-making.

This instructor-led live training, available either online or onsite, targets senior-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI implementations in corporate settings. The curriculum includes examples pertinent to large-scale projects and industries such as oil and gas.

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

• Utilize advanced Copilot capabilities within extensive corporate projects.
• Embed Copilot into cross-functional workflows to maximize efficiency.
• Employ AI tools to enhance project management, infrastructure, and software procurement processes.
• Deploy AI-driven strategies to refine planning, estimation, and time management.
• Identify practical AI use cases within industry-specific contexts, including oil and gas.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case study analysis.
• Live-lab demonstrations of AI tools and Copilot workflows.

Customization Options

• To arrange a customized version of this course, please get in touch with us.

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

This instructor-led, live training (online or onsite) is aimed at 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 Norway (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 Norway (online or onsite) is designed for developers seeking 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 measures.

GitHub Copilot serves as an AI-driven coding assistant designed to automate development activities, encompassing DevOps operations like drafting YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available either online or onsite, targets beginner to intermediate professionals aiming to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity.

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

• Utilizing GitHub Copilot to support shell scripting, configuration, and CI/CD pipelines.
• Harnessing AI code completion features within YAML files and GitHub Actions.
• Speeding up testing, deployment, and automation workflows.
• Applying Copilot responsibly, with a clear understanding of AI limitations and best practices.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation in a live-lab setting.

Course Customization Options

• For inquiries regarding customized training for this course, please reach out to us to arrange details.

This instructor-led live training, offered online or on-site, is designed for intermediate software developers aiming to enhance code quality and productivity through AI-assisted coding with Cursor.

By the end of the 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 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 designed for 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

• 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 crafted to elevate developer productivity via intelligent code completions, context-aware edits, and adaptive support.

This instructor-led live training (available online or onsite) targets beginner-level developers and engineering teams aiming to streamline their coding workflows and safely utilize AI suggestions for enhanced efficiency.

Upon completing this training, participants will be able to:

• Install and configure Cursor to optimize its 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.

Course Customization Options

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

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

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

Upon completing this training, participants will be capable of:

• Setting up and managing team environments in Cursor for collaborative development.
• Leveraging AI tools to automate code reviews, generate pull requests, and validate merges.
• Implementing code governance, review policies, and security guardrails using Cursor’s capabilities.
• Integrating Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Format of the Course

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

Course Customization Options

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

This live, instructor-led training in Norway (online or onsite) targets beginner to intermediate developers who want to learn how to effectively leverage GitHub Copilot’s capabilities within contemporary development workflows.

This instructor-led, live training in Norway (online or onsite) targets intermediate to advanced participants aiming 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:

• Configure GitHub Copilot for team-based environments.
• Apply Copilot to improve collaborative coding practices.
• Enhance team workflows through Copilot’s capabilities.
• Oversee Copilot’s integration in projects involving multiple developers.
• Uphold uniform code quality and standards across the team.
• Harness advanced Copilot features tailored to team requirements.
• Integrate Copilot with other collaborative tools to boost efficiency.

This instructor-led, live training in Norway (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 Norway (online or on-site) 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 Norway (online or onsite) is tailored for developers of all skill levels, from beginners to experts, who wish to harness AI for code generation using 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.
• Apply Tabnine for efficient code completion and error correction.
• Develop and train custom AI models with Tabnine to address specialized tasks.

This instructor-led live training in Norway (online or onsite) is designed for intermediate-level Python developers and data scientists aiming to boost 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 suit their coding style and project needs.
• Understand how Tabnine's AI model functions specifically with Python code.