Developing AI Applications with Huawei Ascend and CANN Training Course

GitHub Copilot is an AI-driven code completion assistant designed to boost development speed while enhancing code quality and overall productivity. When combined with AI applications in project management, infrastructure, and software development, managers can utilise artificial intelligence to optimise resource distribution, streamline operational workflows, and strengthen decision-making processes.

This instructor-led live training (available online or on-site) targets advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications within corporate settings. The curriculum includes examples relevant to large-scale projects and industries such as oil and gas.

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

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows to maximise efficiency.
• Leverage AI tools to optimise project management, infrastructure, and software procurement.
• Implement AI-based strategies to improve planning, estimation, and time management.
• Identify practical AI applications in industry-specific scenarios, such as the oil and gas sector.

Course Format

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

Course Customisation Options

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

Cursor is a sophisticated AI-driven development environment that enables engineers to extend, refine, and customise its coding intelligence for specialised 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, refine model behaviour, 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 behaviour.
• Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
• Develop fine-tuned or domain-adapted AI models for specialised 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 customised to align with specific internal architectures, AI frameworks, or security compliance requirements.

This instructor-led, live training in Botswana (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 Botswana (online or onsite) targets developers who wish to leverage GitHub Copilot Agent Mode to autonomously build features, run tests, and manage complex 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 serves as an AI-driven coding assistant designed to automate various development tasks, including DevOps operations such as creating YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available both online and onsite, targets beginner to intermediate-level professionals keen on utilising GitHub Copilot to streamline DevOps tasks, enhance automation, and boost productivity.

By the conclusion 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

• 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 session (available online or in-person) targets intermediate software developers aiming to enhance their productivity and code quality through AI-assisted coding with Cursor.

Upon completing this training, participants will be capable of:

• Installing and configuring Cursor for AI-enhanced software development.
• Integrating Cursor with Git repositories and existing development workflows.
• Utilising natural language inputs to generate, debug, and optimise code.
• Leveraging AI tools for refactoring, documentation, and testing purposes.

Cursor is an AI-driven development environment that boosts productivity and reliability within data and machine learning workflows by offering 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 to enable faster prototyping, scalable pipeline development, and improved model operations.

Upon completing this training, participants will be able to:

• Utilise 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 organisational MLOps platforms.

Cursor is an artificial intelligence-enabled code editor crafted to elevate developer productivity through intelligent code suggestions, 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 processes and safely utilize AI suggestions for enhanced efficiency.

After 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 lecture and discussion.
• 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-powered development environment that enhances team collaboration, automates code reviews, and integrates seamlessly into modern CI/CD workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level technical professionals who wish to integrate Cursor into their team environments to improve collaboration, streamline reviews, and maintain quality across automated pipelines.

Upon completing this training, participants will be able to:

• Set up and manage team environments in Cursor for collaborative development.
• Leverage AI tools for automated code reviews, pull request generation, and merge validation.
• Implement code governance, review policies, and security guardrails using Cursor’s capabilities.
• Integrate 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 using 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 instructor-led, live training in Botswana (online or onsite) is designed for beginner to intermediate developers who wish to learn how to utilise the capabilities of GitHub Copilot effectively within modern development workflows.

This instructor-led, live training in Botswana (online or onsite) targets intermediate to advanced participants who wish to optimise 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.
• Utilise Copilot to enhance collaborative coding practices.
• Optimise 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 Botswana (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 Botswana (online or on-site) targets experienced developers and team leads who wish to master the advanced features of Tabnine.

Upon completing this training, participants will be able to:

• Deploy Tabnine within complex software projects.
• Customise and train Tabnine's AI models to suit specific requirements.
• Integrate Tabnine into team workflows and development pipelines.
• Improve code quality and accelerate development cycles through Tabnine's insights.

This instructor-led, live training in Botswana (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 Botswana (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help of 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.