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
- Overview of GPT-5’s core capabilities, multimodal features, and agent functionalities
- Model selection criteria, pricing structures, and usage limits
- Ethical implications and enterprise governance frameworks
Prompting and System Design for Reliable Outputs
- Prompt engineering patterns, system messages, and context optimization
- Comparing chain-of-thought reasoning with concise prompting and few-shot techniques
- Prompt validation strategies and defining acceptance criteria
APIs, SDKs, and Local Dev Workflow
- GPT-5 API invocation, SDK utilization, authentication, and secret management
- Local development setups, response mocking, and sandboxing environments
- Version control, request/response schema design, and error handling mechanisms
Building Agents and Tool Integrations
- Designing secure agent architectures and tool interfaces
- Routing logic, orchestration patterns, and fallback strategies
- Managing rate limits, concurrency, and transactional integrity
Testing, Evaluation and Validation
- Automated test suites for prompt behavior and output consistency
- Red-teaming, fuzz testing, and handling adversarial inputs
- Key metrics for accuracy, hallucination mitigation, and user satisfaction
Deployment, Monitoring and Observability
- CI/CD pipelines for model-based features and canary release strategies
- Logging, distributed tracing, and prompt-level telemetry
- Alerting mechanisms, SLA management, and incident response protocols
Security, Privacy and Cost Optimization
- Data handling protocols, PI/PHI compliance, and context sanitization
- Access control measures, audit trails, and compliance checkpoints
- Token efficiency optimization, batch processing, and caching techniques
Summary and Next Steps
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript
- Practical experience interacting with REST APIs or SDKs
- Foundational knowledge of ML/AI concepts and JSON data structures
Target Audience
- Software Engineers
- Machine Learning Engineers
- DevOps / SRE Engineers
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
