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.
Course Outline
Introduction to GPT-5 and Developer Capabilities
- Key capabilities of GPT-5, 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 techniques
- Comparing chain-of-thought vs. concise prompting and few-shot methods
- Testing prompts and defining acceptance criteria
APIs, SDKs, and Local Development Workflow
- Invoking GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- Local development environments, mocking responses, and sandboxing
- Version control, request/response schemas, and error handling strategies
Building Agents and Tool Integrations
- Designing secure agent architectures and tool interfaces
- Routing logic, orchestration, and fallback mechanisms
- Managing rate limits, concurrency control, and transactional integrity
Testing, Evaluation, and Validation
- Creating automated test suites for prompts and behavioral consistency
- Red-teaming, fuzz testing, and adversarial example analysis
- Defining metrics for accuracy, hallucination rates, and user satisfaction
Deployment, Monitoring, and Observability
- CI/CD patterns for model-enabled features and canary release strategies
- Logging, tracing, and telemetry for prompt-level observability
- Alerting mechanisms, SLA considerations, and incident response protocols
Security, Privacy, and Cost Optimization
- Data handling protocols, PI/PHI considerations, and context sanitization
- Access control mechanisms, auditing processes, and compliance checks
- Optimizing token usage, implementing batching, and caching strategies
Summary and Next Steps
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript.
- Practical experience with invoking REST APIs or using SDKs.
- Fundamental knowledge of ML/AI concepts and JSON data structures.
Target Audience
- Software Engineers
- ML Engineers
- DevOps / SRE Engineers
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
