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Course Outline
Introduction to Advanced Cursor Capabilities for Government
- Understanding Cursor’s extensibility and architecture for government applications
- Reviewing AI model types and integration points for government use
- Preparing the environment for advanced customization in government settings
Principles of Effective Prompt Engineering for Government
- Designing prompts for precision, consistency, and adaptability to meet government requirements
- Structuring context hierarchies and variable injection for government workflows
- Evaluating prompt outputs and refining iterations to ensure compliance with government standards
Building and Managing Prompt Templates for Government
- Creating reusable prompt templates for teams within the government sector
- Versioning and maintaining template repositories to support government projects
- Integrating prompt templates with CI/CD pipelines for government operations
Integrating Cursor with Internal Knowledge Bases for Government
- Connecting to documentation APIs and internal data sources for government use
- Embedding domain-specific knowledge into AI prompts for government applications
- Automating updates and synchronization for dynamic data in government systems
Fine-Tuning Models for Domain-Specific Code Generation for Government
- Identifying use cases for fine-tuned models within the government sector
- Collecting and curating fine-tuning datasets to meet government needs
- Testing, validating, and deploying custom-trained models for government applications
Developing Custom Tools and Adapters for Government
- Extending Cursor with API-based custom tooling for government workflows
- Creating secure adapters for enterprise workflows in the government environment
- Implementing custom actions within the editor to support government operations
Security, Governance, and Performance Optimization for Government
- Ensuring secure handling of AI-generated code for government use
- Establishing policy guards and compliance filters for government standards
- Optimizing performance and resource management in government systems
Future-Ready AI Development Strategies for Government
- Evaluating emerging Cursor features and APIs for government applications
- Adopting continuous fine-tuning and prompt lifecycle management for government projects
- Building internal frameworks for sustainable AI engineering in the government sector
Summary and Next Steps for Government
Requirements
- A solid understanding of programming and software architecture
- Experience with AI-assisted coding tools and application programming interfaces (APIs)
- Knowledge of machine learning or prompt engineering concepts
Audience for Government
- AI engineers responsible for designing custom AI workflows
- Tooling and platform engineers tasked with building internal developer tools
- Senior developers integrating domain-specific AI models into government systems
14 Hours
