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Course Outline
Introduction to GPT-5 and Developer Capabilities
- Key features of GPT-5, including multi-modality and agent capabilities
- Selecting models, understanding pricing tiers and usage limits
- Ethical considerations and enterprise governance frameworks
Prompting and System Design for Reliable Outputs
- Prompt patterns, system messages, and context engineering
- Comparing chain-of-thought reasoning with concise prompting and few-shot techniques
- Testing prompts and defining clear acceptance criteria
APIs, SDKs, and Local Dev Workflow
- Calling GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- Local development practices, mocking responses, and sandboxing
- Versioning, request/response schemas, and error handling
Building Agents and Tool Integrations
- Designing safe agent architectures and tool interfaces
- Routing, orchestration, and implementing fallback strategies
- Managing rate-limits, concurrency control, and transactional considerations
Testing, Evaluation and Validation
- Creating automated test suites for prompts and system behaviors
- Red-teaming, fuzz testing, and analyzing adversarial examples
- Defining metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring and Observability
- CI/CD patterns for model-enabled features and canary releases
- Implementing logging, tracing, and telemetry for prompt-level observability
- Setting up alerting, SLA considerations, and incident response protocols
Security, Privacy and Cost Optimization
- Data handling practices, PI/PHI considerations, and context sanitization
- Access control mechanisms, auditing, and compliance checkpoints
- Optimizing token usage through batching and caching strategies
Summary and Next Steps
Requirements
- Familiarity with at least one programming language, such as Python or JavaScript
- Experience with calling REST APIs or utilizing SDKs
- Basic understanding of ML/AI concepts and JSON data structures
Audience
- Software engineers
- ML engineers
- DevOps / SRE engineers
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
