Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
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
- Prompt patterns, system messages, and context engineering
- Chain-of-thought versus concise prompting, including few-shot techniques
- Prompt testing and defining acceptance criteria
APIs, SDKs, and Local Development Workflows
- Calling GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- Local development practices, mocking responses, and sandboxing
- Versioning, request/response schemas, and error handling
Building Agents and Tool Integrations
- Designing secure agent architectures and tool interfaces
- Routing, orchestration, and fallback strategies
- Managing rate limits, concurrency control, and transactional integrity
Testing, Evaluation, and Validation
- Creating automated test suites for prompts and behaviors
- Red-teaming, fuzz testing, and analyzing adversarial examples
- Defining 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 procedures
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
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript
- Experience calling REST APIs or utilizing SDKs
- Basic familiarity with 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.
