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Kursplan
Introduction to GPT-5 and Developer Capabilities
- GPT-5 key capabilities, multi-modality, and agent features
- Choosing models, understanding pricing and limits
- Ethical considerations and enterprise governance
Prompting and System Design for Reliable Outputs
- Prompt patterns, system messages, and context engineering
- Chain-of-thought vs. concise prompting and few-shot techniques
- Testing prompts and establishing acceptance criteria
APIs, SDKs, and Local Dev Workflow
- Calling GPT-5 APIs, SDK usage, authentication and secrets management
- 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
- Rate-limits, concurrency control, and transactional considerations
Testing, Evaluation and Validation
- Automated test suites for prompts and behaviors
- Red-teaming, fuzz testing, and adversarial examples
- Metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring and Observability
- CI/CD patterns for model-enabled features and canary releases
- Logging, tracing, and telemetry for prompt-level observability
- Alerting, SLA considerations, and incident response
Security, Privacy and Cost Optimization
- Data handling, PI/PHI considerations, and context sanitization
- Access control, auditing, and compliance checkpoints
- Token usage optimization, batching, and caching strategies
Summary and Next Steps
Krav
- An understanding of at least one programming language such as Python or JavaScript
- Experience calling REST APIs or SDKs
- Basic familiarity with ML/AI concepts and JSON data structures
Audience
- Software engineers
- ML engineers
- DevOps / SRE engineers
14 timmar
Vittnesmål (4)
Jag uppskattade verkligen sättet på vilket utbildaren presenterade allt. Jag förstod allt även om Finance inte är mitt område, han såg till att alla deltagare var på samma sida medan han håller reda på tiden som återstod. Övningarna var placerade på bra intervaller. Communication med deltagarna fanns alltid där. Materialet var perfekt, varken för mycket eller för lite. Han förklarade väldigt bra lite mer komplicerade ämnen så att alla kunde förstå.
Diana
Kurs - ChatGPT for Finance
Machine Translated
Ämnet och hur det presenterades.
Mark Mackintosh - IUM Insurance
Kurs - ChatGPT for Executives
Machine Translated
Jag gillar hur Sonia interagerar med publiken, hon gjorde webbinariet levande och inte tråkigt som andra webbinarier. Jag blev också överraskad av ChatGPT och imponerar verkligen.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Kurs - ChatGPT for Accounting
Machine Translated
Practical examples in Insurance
