Cursusaanbod

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

Vereisten

  • 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 Uren

Leveringsopties

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  • Pre-cursusgesprek met uw trainer
  • Aanpassing van de leerervaring om uw doelen te bereiken -
    • Op maat gemaakte overzichten
    • Praktische, praktische oefeningen met gegevens / scenario's die herkenbaar zijn voor de cursisten
  • Training gepland op een datum naar keuze
  • Gegeven online, op locatie/klaslokaal of hybride door experts die ervaring uit de echte wereld delen

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