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Duration 14 hours (2 days)
Course Outline
Introduction to GPT-5 and Developer Capabilities
- Key capabilities of GPT-5, including multi-modality and agent features
- Model selection, pricing structures, and usage limits
- Ethical considerations and enterprise governance frameworks
Prompting and System Design for Reliable Outputs
- Effective prompt patterns, system messages, and context engineering
- Comparing chain-of-thought versus concise prompting and few-shot techniques
- Validating prompts and defining acceptance criteria
APIs, SDKs, and Local Development Workflow
- Interacting with GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- Local development practices, response mocking, and sandbox environments
- Version control, request/response schemas, and error management
Building Agents and Tool Integrations
- Designing secure agent architectures and tool interfaces
- Routing logic, orchestration, and fallback mechanisms
- Managing rate limits, concurrency, and transactional integrity
Testing, Evaluation, and Validation
- Automated testing suites for prompt behaviors and performance
- Red-teaming, fuzz testing, and handling adversarial examples
- Key metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring, and Observability
- CI/CD pipelines for model-enabled features and canary deployment strategies
- Logging, tracing, and telemetry for prompt-level visibility
- Alerting mechanisms, SLA management, and incident response protocols
Security, Privacy, and Cost Optimization
- Data handling practices, PI/PHI considerations, and context sanitization
- Access control, audit trails, and compliance verification
- 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 in interacting with REST APIs or SDKs
- Fundamental understanding 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.
