Cursor is an AI-powered code editor (developed by Anysphere) that helps developers write, debug, and refactor code faster using advanced large language models (LLMs).
Cursor training in New Zealand equips teams with the skills to integrate AI-assisted coding into modern software workflows, improving efficiency, accuracy, and collaboration. Participants learn how to leverage natural language prompts for code generation, testing, and optimization directly within the development environment.
Also known as AI-Powered Development with Cursor, this training explores the intersection of artificial intelligence and software engineering. Through hands-on exercises, developers discover how to use Cursor’s AI capabilities to automate repetitive tasks, enhance code quality, and streamline project delivery.
Cursor training is offered as "online live training" or "onsite live training". Online live training (also called "remote live training") is conducted through an interactive, remote desktop. Onsite live training can be organized at customer facilities in New Zealand or held at NobleProg corporate training centers in New Zealand.
Cursor is an AI-powered development environment that boosts productivity and reliability across data and machine learning workflows through intelligent code generation, context-aware suggestions, and streamlined documentation.
This instructor-led, live training (available online or on-site) 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.
By the end of this training, participants will be able to:
Use Cursor to speed up 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 live demonstrations.
Hands-on exercises in live coding environments.
Case studies integrating Cursor with ML pipelines and model operations tools.
Course Customisation Options
This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organisational MLOps platforms.
Cursor is an advanced AI-powered development environment that enables engineers to extend, fine-tune, and customise its coding intelligence for specialised use cases and enterprise workflows.
This instructor-led, live training (delivered online or on-site) is designed for advanced-level developers and AI engineers who aim to design tailored prompt systems, fine-tune model behaviour, and build custom extensions to automate internal development processes.
By the end of this training, participants will be able to:
Design and test advanced prompt templates to achieve 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 securely extend Cursor’s functionality.
Course Format
Technical presentations and guided demonstrations.
Hands-on development and prompt optimisation labs.
Practical projects integrating Cursor with real-world enterprise systems.
Course Customisation Options
This course can be customised to align with specific internal architectures, AI frameworks, or security compliance requirements.
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 on-site) 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.
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.
Course Customisation Options
The course can be adapted to specific CI/CD platforms, repository tools, or enterprise security requirements.
Cursor is an AI-powered code editor designed to enhance developer productivity through intelligent code completions, contextual edits, and adaptive assistance.
This instructor-led, live training (online or onsite) is aimed at beginner-level developers and engineering teams who wish to streamline their coding workflow and safely leverage AI suggestions for improved efficiency.
Upon completion of 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.
Format of the Course
Interactive lecture and discussion.
Hands-on demonstrations and guided exercises.
Real-world coding challenges and lab practice using Cursor.
Course Customisation Options
This course can be tailored to specific programming languages or frameworks used by your team.
This instructor-led, live training (online or on-site) is designed for intermediate-level software developers who want to boost 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 optimise code.
Leverage AI capabilities for refactoring, documentation, and testing.
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