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This module explores the importance of adopting a customer user journey (CUJ) “first” approach to testing and the different levels of quality assurance required to ensure production grade quality in Virtual Agent development

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This module deep dives into the specifics of each level of testing required during Virtual Agent development (Unit testing, Integration testing, end to end testing and AB testing)

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This module explores how to best use the Dialogflow CX’s testing feature set (simulator and validation tool) to support each level of testing during Virtual Agent development and how to analyze and increase test coverage.

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This module explores the key steps required to create an end-to-end testing plan and the unique considerations required when testing the performance of a Virtual Agent cross-channel (Chat vs Voice)

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This module explores what the deployment lifecycle of a virtual agent looks like and how to choose the best flow versions and environments for your development needs

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This module explores some additional considerations for the set up of a continuous improvement and continuous development (CI/CD) pipeline for Virtual Agent development. It also provides details on how to best leverage the change history tool, define an incidence management strategy, and account for key metrics for managing capacity and quota.

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This module includes the list of additional resources that complement the course learning

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Google Cloud Skills Boost

DFCX Bot Building Quality Assurance and Deployment Lifecycle