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 (2 days)
Course Outline
Introduction to GPT-5 and Developer Capabilities
- Key GPT-5 capabilities, including multi-modality and agent features
- Model selection, understanding pricing, and platform limits
- Ethical considerations and enterprise governance
Prompting and System Design for Reliable Outputs
- Prompt patterns, system messages, and context engineering
- Comparing chain-of-thought vs. concise prompting and few-shot techniques
- Testing prompts and defining acceptance criteria
APIs, SDKs, and Local Dev Workflow
- Calling GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- 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
- Managing rate-limits, concurrency control, and transactional considerations
Testing, Evaluation and Validation
- Creating automated test suites for prompts and behaviors
- Implementing red-teaming, fuzz testing, and adversarial examples
- Defining metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring and Observability
- Applying CI/CD patterns for model-enabled features and canary releases
- Implementing logging, tracing, and telemetry for prompt-level observability
- Configuring alerting, SLA considerations, and incident response
Security, Privacy and Cost Optimization
- Data handling, PI/PHI considerations, and context sanitization
- Enforcing access control, auditing, and compliance checkpoints
- Optimizing token usage, 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 using SDKs
- Basic familiarity with ML/AI concepts and JSON data structures
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.
