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Duration 14 hours (2 days)
Course Outline
Overview of GPT-5 and Its Capabilities for Developers
- Core features of GPT-5, including multi-modality and agent functionalities
- Model selection, and insights into pricing structures and usage limits
- Ethical frameworks and enterprise governance principles
Prompt Engineering and System Design for Consistency
- Advanced prompt patterns, system messages, and context optimization
- 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, SDK implementation, and managing authentication and secrets
- Setting up local environments, simulating responses, and sandboxing
- Managing versioning, request/response schemas, and robust error handling
Developing Agents and Tool Integrations
- Architecting secure agent structures and tool interfaces
- Implementing routing, orchestration, and fallback mechanisms
- Managing rate limits, concurrency, and transactional integrity
Testing, Evaluation, and Validation Strategies
- Creating automated test suites for prompts and system behaviors
- Conducting red-teaming, fuzz testing, and analyzing adversarial cases
- Measuring accuracy, hallucination rates, and user satisfaction metrics
Deployment, Monitoring, and Observability
- Applying CI/CD practices for model-driven features and canary deployments
- Implementing logging, tracing, and telemetry for detailed prompt-level insights
- Configuring alerts, SLA management, and incident response protocols
Security, Privacy, and Cost Management
- Handling data securely, including PI/PHI considerations and context sanitization
- Enforcing access controls, audits, and compliance checkpoints
- Optimizing token usage through batching and caching techniques
Conclusions and Future Directions
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript
- Practical experience with invoking REST APIs or utilizing SDKs
- Fundamental knowledge of ML/AI concepts and JSON data structures
Intended 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.
