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Schița de curs
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
Cerințe
- 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 ore
Mărturii (4)
Am apreciat foarte mult modul în care antrenorul a prezentat totul. Am înțeles totul chiar dacă Finance nu este domeniul meu, el s-a asigurat că fiecare participant era pe aceeași pagină, păstrându-se la pas cu timpul rămas. Exercițiile au fost plasate la intervale bune. Communication cu participanții a fost întotdeauna prezent. Materialele erau perfecte, nici prea multe, nici prea puține. El a explicat foarte bine subiectele mai complicate pentru ca toată lumea să le poată înțelege.
Diana
Curs - ChatGPT for Finance
Tradus de catre o masina
Subiectul și modul în care a fost prezentat.
Mark Mackintosh - IUM Insurance
Curs - ChatGPT for Executives
Tradus de catre o masina
Mi-a plăcut modul în care Sonia a interacționat cu publicul, a făcut ca webinarul să fie viu, nu plictisitor ca alte webinare. De asemenea, am fost surprins de ChatGPT și am fost foarte impresionat.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Curs - ChatGPT for Accounting
Tradus de catre o masina
Exemple practice în asigurări
Viren - Hollard Insure
Curs - ChatGPT
Tradus de catre o masina
