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Course Outline
LLM Application Architecture and Design
- Common OpenAI application patterns for assistants, copilots, and workflow automation for government operations
- Selecting the appropriate architecture to meet business requirements, ensure reliability, and enhance user experience
- Transitioning from prototype code to maintainable application design for government use
Prompting, Context, and Structured Outputs
- Structuring system, user, and developer instructions to achieve predictable behavior in government applications
- Designing prompts to ensure consistency, task control, and clearer responses for government tasks
- Utilizing structured outputs to support downstream application logic for government processes
- Managing context windows, conversation state, and response quality in government applications
Tool Use and Workflow Orchestration
- Integrating function calling and tool-enabled workflows with external services for government operations
- Validating inputs and outputs, handling errors, and applying fallback behavior in government applications
- Designing multi-step flows for practical business tasks in the public sector
Retrieval and Knowledge Grounding
- Identifying when retrieval-augmented generation is appropriate for government use
- Preparing documents and chunking content for effective retrieval in government applications
- Retrieving relevant context and grounding responses in trusted sources for government operations
Evaluation, Guardrails, and Operational Readiness
- Defining quality criteria and testing workflows against expected outcomes for government applications
- Reducing hallucinations and managing unsafe, irrelevant, or ambiguous requests in government systems
- Monitoring usage, latency, token consumption, and cost in government operations
- Preparing applications for deployment, support, and iterative improvement for government use
Hands-On Implementation Workshop
- Building a small end-to-end OpenAI application that combines prompting, structured output, tool use, and retrieval for government operations
- Reviewing design decisions, common issues, and practical next steps for production use in the public sector
Requirements
- Knowledge of large language model concepts and API-driven application development for government
- Experience in working with REST APIs, JSON, and prompt-driven workflows
- Intermediate programming skills in Python, JavaScript, or a comparable language
Audience
- Software developers engaged in the creation of LLM-powered applications for government use
- AI engineers and technical leads responsible for designing OpenAI-based solutions for government projects
- Product teams and solution architects tasked with implementing production AI features in government systems
7 Hours
