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Business Analyst to AI Engineer
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Module 1
Harden a Vibe-Coded AI Application
1
Auditing AI Applications for Security and Reliability Risks
Audit a vibe-coded AI application for hidden model coupling, unsafe secret handling, missing validation, and unbounded model calls.
2
Building Reproducible Python Environments with Locked Dependencies and External Configuration
Create a reproducible Python application environment with locked dependencies and externalized configuration.
3
Invoking Language Models with a Provider-Neutral Python Interface
Invoke a language model through a provider-neutral Python interface.
4
Schema-Constrained Output with Typed Data Models
Generate schema-constrained output with a typed data model.
5
Validating Model Responses Before Use
Validate a model response before downstream use.
6
Graceful Handling of Timeouts and Provider Failures
Handle model timeouts and transient provider failures gracefully.
7
Integration Testing with Controlled Model Responses
Write an integration test using a controlled model response.
8
Constructing a Representative Golden Dataset
Construct a representative golden dataset from expected user requests.
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