Developer Productivity with GenAI: Develop like Google

Boost developer efficiency, and allow your developers to focus on more complex, impactful work. The scope of work encompasses the utilization of customer data to tailor a customized model that adapts seamlessly to the unique nuances of a particular practice. This entails the implementation of a recitation checker to ensure the accuracy of generated responses, the incorporation of licensed code blocking to safeguard intellectual property, and the provision of global availability to facilitate accessibility from any location. The project will empower users to construct their own models, utilizing their own data, granting them complete control over the training and refinement process. Additionally, the integration of NL2SQL capability will enable users to effortlessly convert natural language queries into structured SQL statements, streamlining the process of data retrieval and analysis.

What your team gets

  • Vertex AI, Model Garden, and Codey - A comprehensive overview of Vertex AI and how to deploy generated code for common use cases

  • Vertex Search and Conversation - Build and deploy basic search and conversational AI applications

  • Application Development with LLMS - Learn to build and deploy custom extensions for common development use cases

  • Data Ingestion and Management - Understand principles of data warehouses and data lakes and construct a simple data pipeline with Dataflow

  • MLOps and Productionizing Models - Learn how to deploy and maintain extensions and custom models for consumption in your organization.

Key deliverables
  • Code experimentation
  • Code review
  • Code documentation
Google Cloud team include
  • Strategic Cloud Engineer
Delivery time estimate
5 days
Price
Contact us for a quote

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