Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
