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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 timer
Testimonials (4)
Jeg verdsette at treneren presenterte alt på en svært god måte. Jeg forsto alt, selv om Finance ikke er mitt fagfelt, sørget han for at alle deltakerne var på samme side, samtidig som han fulgte tidsrammen. Øvelsene var plassert i gode intervaller. Communication med deltakerne var alltid der. Materialet var perfekt, ikke for mye og ikke for lite. Han forklarte veldig godt litt mer kompliserte emner slik at alle kunne forstå det.
Diana
Kurs - ChatGPT for Finance
Machine Translated
Temaet og måten det ble presentert på.
Mark Mackintosh - IUM Insurance
Kurs - ChatGPT for Executives
Machine Translated
Jeg liker måten Sonia samhandler med publikum på, hun gjorde webinaret levende og ikke kjedelig som andre webinaret. Jeg ble også overrasket over ChatGPT og imponerte virkelig.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Kurs - ChatGPT for Accounting
Machine Translated
Practical examples in Insurance
