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
Best Practices and Tools for Government
Common Pitfalls and Mitigation Strategies for Government Use
Introduction to Prompt Engineering for Government Applications
Refinement and Iterative Design of Prompts for Government Tasks
Utilizing Prompts for Test Automation and SQL Generation in Government Systems
Summary and Next Steps for Government Implementation
Using Prompts for Code Explanation and Debugging in Government Projects
Writing Prompts for Code Generation for Government Use
- Avoiding hallucinated code or security vulnerabilities in government systems
- Handling incomplete or ambiguous inputs in government applications
- Creating safe fallback prompts and guardrails for government use
- Generating test cases from requirements or code for government projects
- Producing structured SQL queries from natural language in government databases
- Formatting outputs for integration into government test suites
- Explaining legacy or unfamiliar code in government systems
- Prompting for logic walkthroughs or edge case analysis in government applications
- Identifying and explaining bugs or inefficiencies in government software
- Generating code from plain-language descriptions for government use
- Controlling output format and programming language for government projects
- Working with complex logic or multiple functions in government systems
- Enhancing results through prompt chaining and feedback loops in government workflows
- Strategies for error recovery and prompt tuning in government applications
- Case studies in refinement for technical tasks in government settings
- Prompt libraries and reuse patterns for government use
- Utilizing prompt templates in VS Code or API-based workflows for government projects
- Evaluating prompt quality and performance in production use for government systems
- Understanding prompts, context, tokens, and models in government applications
- Types of prompts: zero-shot, one-shot, few-shot for government use
- Using system vs. user instructions in different APIs for government systems
Requirements
Audience
- Developers leveraging large language models (LLMs) for code generation or analysis in federal projects
- Technical leads evaluating AI tools to enhance workflows for government
- Software professionals integrating LLMs into their applications and systems for government use
- Experience in software development or scripting, particularly within public sector environments
- Familiarity with common programming languages such as Python, JavaScript, and SQL, which are often used in government projects
- Basic understanding of large language models and AI tools like ChatGPT, Claude, or Copilot, and their potential applications for government tasks
7 Hours
Testimonials (1)
Lecturer's knowledge in advanced usage of copilot & Sufficient and efficient practical session
