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Duration 14 hours
Course Outline
Overview of GPT-5 and Developer Capabilities
- Core features of GPT-5, including multi-modality and agent functionalities
- Model selection, pricing structures, and usage limits
- Ethical frameworks and enterprise governance principles
Prompt Engineering and System Design for Reliable Outcomes
- Prompt patterns, system messages, and context engineering techniques
- Comparing chain-of-thought reasoning with concise prompting and few-shot methods
- Validating prompts and defining clear acceptance criteria
APIs, SDKs, and Local Development Workflows
- Interacting with GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- Local development setups, response mocking, and sandboxing
- Version control, request/response schemas, and robust error handling
Agent Development and Tool Integration
- Architecting secure agent systems and tool interfaces
- Routing logic, orchestration patterns, and fallback mechanisms
- Managing rate limits, concurrency, and transactional integrity
Testing, Evaluation, and Validation
- Creating automated test suites for prompts and behavioral outcomes
- Red-teaming, fuzz testing, and handling adversarial inputs
- Tracking metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring, and Observability
- CI/CD pipelines for model-driven features and canary release strategies
- Implementing logging, tracing, and telemetry for prompt-level visibility
- Configuring alerts, SLA management, and incident response protocols
Security, Privacy, and Cost Optimization
- Data management, PI/PHI compliance, and context sanitization
- Enforcing access controls, auditing processes, and compliance checkpoints
- Optimizing token usage through batching and caching strategies
Conclusion and Future Directions
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript
- Experience with calling REST APIs or utilizing SDKs
- Foundational knowledge of ML/AI concepts and JSON data structures
Target Audience
- Software Engineers
- ML Engineers
- DevOps / SRE Engineers
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
