Course Outline

Introduction to Advanced Cursor Capabilities

  • Understanding Cursor’s extensibility and architecture
  • Reviewing AI model types and integration points
  • Preparing the environment for advanced customization

Principles of Effective Prompt Engineering

  • Designing prompts for precision, consistency, and adaptability
  • Structuring context hierarchies and variable injection
  • Evaluating prompt outputs and refining iterations

Building and Managing Prompt Templates

  • Creating reusable prompt templates for teams
  • Versioning and maintaining template repositories
  • Integrating prompt templates with CI/CD pipelines

Integrating Cursor with Internal Knowledge Bases

  • Connecting to documentation APIs and internal data sources
  • Embedding domain-specific knowledge into AI prompts
  • Automating updates and synchronization for dynamic data

Fine-Tuning Models for Domain-Specific Code Generation

  • Identifying use cases for fine-tuned models
  • Collecting and curating fine-tuning datasets
  • Testing, validating, and deploying custom-trained models

Developing Custom Tools and Adapters

  • Extending Cursor with API-based custom tooling
  • Creating secure adapters for enterprise workflows
  • Implementing custom actions within the editor

Security, Governance, and Performance Optimization

  • Ensuring secure handling of AI-generated code
  • Establishing policy guards and compliance filters
  • Optimizing performance and resource management

Future-Ready AI Development Strategies

  • Evaluating emerging Cursor features and APIs
  • Adopting continuous fine-tuning and prompt lifecycle management
  • Building internal frameworks for sustainable AI engineering

Summary and Next Steps

Requirements

  • Strong understanding of programming and software architecture
  • Experience with AI-assisted coding tools and APIs
  • Knowledge of machine learning or prompt engineering concepts

Audience

  • AI engineers designing custom AI workflows
  • Tooling and platform engineers building internal developer tools
  • Senior developers integrating domain-specific AI models
 14 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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