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Duration 14 hours (2 days)
Course Outline
GPT-5 Fundamentals and Developer Features
- Overview of GPT-5’s core capabilities, multi-modal support, and agent functionalities
- Model selection, pricing structures, and usage limits
- Ethical implications and enterprise governance frameworks
Prompting and System Architecture for Consistent Results
- Advanced prompt patterns, system message configuration, and context engineering
- Comparing chain-of-thought versus concise prompting, including few-shot methods
- Prompt validation techniques and defining acceptance criteria
APIs, SDKs, and Local Development Environment
- Interacting with GPT-5 APIs, utilizing SDKs, and managing authentication and secrets
- Local setup, response mocking, and sandbox testing
- Version control, request/response schemas, and robust error handling
Agent Development and Tool Integration
- Designing secure agent architectures and defining tool interfaces
- Implementing routing, orchestration, and fallback mechanisms
- Managing rate limits, concurrency, and transactional integrity
Testing, Assessment, and Validation
- Creating automated test suites for prompts and system behaviors
- Conducting red-teaming, fuzz testing, and adversarial scenario analysis
- Defining metrics for accuracy, hallucination frequency, and user experience
Deployment, Monitoring, and Observability
- CI/CD strategies for model-integrated features and canary deployment techniques
- Implementing logging, tracing, and telemetry for granular prompt observability
- Establishing alerting rules, SLA monitoring, and incident response protocols
Security, Privacy, and Cost Efficiency
- Data management, PII/PHI protection, and context sanitization practices
- Enforcing access controls, conducting audits, and meeting compliance requirements
- Optimizing token consumption, implementing batching, and utilizing caching mechanisms
Wrap-up and Future Actions
Requirements
- Proficiency in at least one programming language, such as Python or JavaScript
- Practical experience with REST API or SDK interactions
- Fundamental knowledge of ML/AI principles and JSON data formats
Intended 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.
