self-paced

Building with the OpenAI API 501

Use the OpenAI API for structured outputs, tool calling, evaluation and production integration.

Delivered by AI Build

Learning platform: SAVI.education

Certificate issued by SAVI.education

Duration
8 hours
Price
£149.00
  • Self-paced lessons

Course syllabus

Lessons are grouped into clear steps with visual cues, so each course is easier to scan before you start.

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  1. Step 1 · Lesson

    APIs and Structured Responses

    Learn how to design AI application APIs that return predictable, validated outputs instead of free-form text. You will practise using schemas, response validation, error handling and contract-first design to make model integrations reliable in production systems.

  2. Step 2 · Lesson

    JSON and Schema-Constrained Responses

    You will learn how to design prompts that return reliable JSON for business workflows, integrations and evaluation. You will practise defining schemas, handling errors, constraining outputs and validating responses without asking for private chain-of-thought.

  3. Step 3 · Lesson

    Tools and Function Calling

    Learn how agents use tools and function calling to move from conversation to action. You will be able to design reliable tool schemas, decide when a model should call a tool, and build verification steps that reduce business risk.

  4. Step 4 · Lesson

    Retrieval-Augmented Generation

    Learn how to design Retrieval-Augmented Generation (RAG) applications that combine language models with trusted business knowledge. You will be able to structure a RAG pipeline, choose retrieval strategies, reduce hallucinations, and evaluate whether retrieved context is good enough for production use.

  5. Step 5 · Lesson

    Deployment, Monitoring and Evaluation

    Learn how to take an AI application from prototype to production with clear deployment patterns, monitoring, evaluation and rollback plans. You will be able to define practical quality, cost, safety and reliability controls for RAG, agentic and API-based AI systems.

  6. Step 6 · Lesson

    Security, Permissions and Governance

    Learn how to design AI agent workflows that respect access controls, minimise risk and remain auditable. You will be able to define permission boundaries, approval gates, monitoring controls and governance routines for production agent deployments.