Module 1: Tool & Function Calling
Define typed tools, validate inputs and outputs, handle permissions, and connect model decisions to controlled application actions.
Build tool-using AI applications with explicit workflows, state, memory, system integrations, guardrails, evaluation, observability, and human review.
Define typed tools, validate inputs and outputs, handle permissions, and connect model decisions to controlled application actions.
Model deterministic and model-assisted workflows, break goals into bounded steps, and design explicit stop and recovery conditions.
Manage session state, durable task data, retrieval-backed memory, retention boundaries, and user-controlled context.
Integrate approved APIs and business systems with authentication, authorization, idempotency, validation, and audit-friendly records.
Compare orchestration patterns and select the simplest architecture that meets a use case without overstating autonomous behavior.
Add policy checks, scoped permissions, confirmations, escalation paths, and meaningful review before consequential actions.
Create scenario tests, trace tool use, measure reliability and latency, review failures, and monitor changes over time.
Deploy a bounded agent workflow with secure tools, durable state, evaluation evidence, operational monitoring, and a human fallback.
Build a permission-aware agent that gathers context, proposes actions, and requires review before updating a connected system.
Deliver and evaluate a tool-using workflow with durable state, observability, failure recovery, and documented operating limits.