Course Outline
Introduction to GPT-5 and Developer Capabilities for Government
- Overview of GPT-5’s key capabilities, including multi-modality and agent features
- Guidance on selecting appropriate models, understanding pricing structures, and navigating usage limits
- Discussion of ethical considerations and best practices for enterprise governance in the public sector
Prompting and System Design for Reliable Outputs for Government
- Strategies for effective prompt patterns, system messages, and context engineering to ensure consistent and accurate responses
- Comparison of chain-of-thought prompting versus concise prompts, and the application of few-shot techniques
- Methods for testing prompts and establishing clear acceptance criteria to meet government standards
APIs, SDKs, and Local Development Workflow for Government
- Procedures for calling GPT-5 APIs, using software development kits (SDKs), managing authentication, and handling secrets securely
- Best practices for local development, including mocking responses and sandboxing environments to facilitate testing
- Guidelines for versioning, defining request/response schemas, and implementing robust error handling mechanisms
Building Agents and Tool Integrations for Government
- Design principles for creating safe agent architectures and tool interfaces that comply with government regulations
- Strategies for routing, orchestration, and fallback to ensure reliable service delivery
- Considerations for rate limits, concurrency control, and transactional integrity in government applications
Testing, Evaluation, and Validation for Government
- Development of automated test suites to validate prompts and agent behaviors against government requirements
- Techniques for red-teaming, fuzz testing, and generating adversarial examples to identify potential vulnerabilities
- Metrics for assessing accuracy, hallucination rates, and user satisfaction in government contexts
Deployment, Monitoring, and Observability for Government
- Continuous integration/continuous deployment (CI/CD) patterns for deploying model-enabled features with canary releases to minimize disruption
- Practices for logging, tracing, and telemetry to achieve prompt-level observability in government systems
- Protocols for alerting, service level agreement (SLA) considerations, and incident response to ensure high availability and reliability
Security, Privacy, and Cost Optimization for Government
- Data handling practices, including considerations for personally identifiable information (PII) and protected health information (PHI), and methods for context sanitization
- Access control measures, auditing processes, and compliance checkpoints to meet government security standards
- Strategies for optimizing token usage, implementing batching, and leveraging caching techniques to reduce costs and improve performance
Summary and Next Steps for Government
Requirements
- An understanding of at least one programming language, such as Python or JavaScript
- Experience with calling REST APIs or SDKs
- Basic familiarity with machine learning/artificial intelligence concepts and JSON data structures
Audience for Government
- Software engineers
- Machine learning engineers
- DevOps/SRE engineers
Testimonials (5)
scope of the material
Marcin Mlodawski - Instytut Energetyki- Panstwowy Instytut Badawczy
Course - ChatGPT for Data Science and Analytics
Prompt Engineering
Pritpal Singh Bath - The Events Club SG Pte. Ltd.
Course - ChatGPT for Marketing
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
Practical examples in Insurance
