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Duration 14 hours
Course Outline
Introduction to GPT-5 and Developer Capabilities
- Key capabilities of GPT-5, including multi-modality and agent features
- Selecting models and understanding pricing and limits
- Ethical considerations and enterprise governance
Prompting and System Design for Reliable Outputs
- Prompt patterns, system messages, and context engineering
- Comparing chain-of-thought with concise prompting and few-shot techniques
- Testing prompts and defining acceptance criteria
APIs, SDKs, and Local Development Workflows
- Interacting with GPT-5 APIs, using SDKs, and managing authentication and secrets
- Local development, 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 fallback strategies
- Managing rate limits, concurrency control, and transactional considerations
Testing, Evaluation, and Validation
- Creating automated test suites for prompts and behaviors
- Performing red-teaming, fuzz testing, and analyzing adversarial examples
- Defining metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring, and Observability
- Implementing CI/CD patterns for model-enabled features and canary releases
- Logging, tracing, and telemetry for prompt-level observability
- Setting up alerting, considering SLAs, and managing incident response
Security, Privacy, and Cost Optimization
- Data handling, PI/PHI considerations, and context sanitization
- Access control, auditing, and compliance checkpoints
- Optimizing token usage through batching and caching strategies
Summary and Next Steps
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript.
- Experience with calling REST APIs or utilizing SDKs.
- Basic familiarity with 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.
