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Enterprise Search on Generative AI App Builder

Google Cloud Training

This course teaches you to use Generative AI App Builder to integrate enterprise-grade generative AI search.

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Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Introduction

Introduce learners to the course

Generative AI on Google Cloud

Define generative AI, its history and product offerings on Google Cloud, and the target personas for each product.

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Activities

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Career center

Learners who complete Enterprise Search on Generative AI App Builder will develop knowledge and skills that may be useful to these careers:

Enterprise Search Engineer

An Enterprise Search Engineer designs, builds, and maintains search solutions for internal and external enterprise content, ensuring information is discoverable and accessible. This role involves implementing and optimizing search algorithms, indexing strategies, and retrieval systems. The "Enterprise Search on Generative AI App Builder" course is exceptionally well-suited for an aspiring or current Enterprise Search Engineer. It provides direct instruction on creating, ingesting data into, and managing search engines using Generative AI App Builder. This includes configuring search results from various data types and integrating search into applications, which are core tasks for this role. Understanding Generative AI App Builder architecture, security, and analytics from the course helps build robust, performant, and secure enterprise search systems, directly addressing the pain points of scattered information within organizations.

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Generative AI Solutions Architect

A Generative AI Solutions Architect designs and oversees the implementation of Generative AI-powered solutions, translating business requirements into technical architectures. They select appropriate AI platforms and tools, ensuring scalability, security, and integration with existing systems. The "Enterprise Search on Generative AI App Builder" course is directly relevant for this career path. It provides deep knowledge of Generative AI product offerings on Google Cloud and their architecture, particularly focusing on Generative AI App Builder. Understanding authentication, access control with Identity and Access Management IAM, data governance, and compliance from the course is crucial for designing secure and compliant solutions. The course's exploration of enterprise search use cases helps in identifying where Generative AI can provide significant value, a key skill for an architect aiming to solve complex enterprise information challenges.

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Cloud Data Engineer

A Cloud Data Engineer designs, builds, and maintains data pipelines and infrastructure for data storage, processing, and retrieval in cloud environments. This role ensures data quality, accessibility, and efficiency for various applications, including search. For a Cloud Data Engineer, the "Enterprise Search on Generative AI App Builder" course is highly pertinent. A significant portion of this role involves preparing and managing data. The course explicitly teaches managing data in Generative AI App Builder, including creating a search engine and ingesting data into it. This expertise is vital for ensuring that the vast amounts of information—whether structured or unstructured—are correctly prepared and indexed for optimal search performance within an enterprise context, leveraging Google Cloud's capabilities to make information readily accessible.

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Technical Consultant

A Technical Consultant advises clients on technical solutions, helping them understand complex systems and guiding them through implementation processes. This involves analyzing client needs, recommending appropriate technologies, and providing architectural guidance. The "Enterprise Search on Generative AI App Builder" course is exceptionally valuable for a Technical Consultant. This role frequently involves helping enterprises make their information accessible and improve customer-facing search. The course provides comprehensive knowledge of Generative AI App Builder, its architecture, security, and data management. A consultant can leverage this expertise to identify specific enterprise search use cases for clients, advise on integrating generative AI search into their applications, and guide them through implementation, ensuring successful adoption and maximizing the benefits of Google Cloud's offerings.

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Cloud Software Engineer

A Cloud Software Engineer designs, develops, and deploys software applications that run on cloud computing platforms. This role works with cloud services, APIs, and SDKs to build scalable, resilient, and cost-effective solutions. The "Enterprise Search on Generative AI App Builder" course is very pertinent for a Cloud Software Engineer, especially one building applications on Google Cloud. The course directly teaches how to integrate enterprise-grade generative AI search into applications using Generative AI App Builder. Key modules like configuring search results from websites, unstructured and structured data, and integrating search in your applications are crucial. Understanding the architecture, authentication, and data management aspects within Generative AI App Builder provides the specific knowledge needed to develop robust, secure, and highly functional generative AI search capabilities within cloud-native applications.

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Machine Learning Engineer

A Machine Learning Engineer designs, builds, and deploys machine learning models and systems. This includes data preprocessing, model training, evaluation, optimization, and deployment into production environments. A Machine Learning Engineer working with enterprise-level applications will find the "Enterprise Search on Generative AI App Builder" course quite beneficial. While focusing on an application builder, the course dives into Generative AI concepts, its product offerings, and use cases. Understanding how Generative AI App Builder is used to integrate enterprise-grade generative AI search provides practical context for deploying and managing AI models in a real-world enterprise setting, complementing the theoretical and model-building expertise of a Machine Learning Engineer with application-level insights into solving real-world information accessibility challenges.

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Technical Product Manager

A Technical Product Manager defines the product vision, strategy, and roadmap for technical products, often involving complex software or platforms. This role involves gathering requirements, prioritizing features, and collaborating with engineering teams to deliver solutions. For a Technical Product Manager focused on enterprise solutions, the "Enterprise Search on Generative AI App Builder" course is highly relevant. It provides a deep understanding of enterprise search use cases and the capabilities of Generative AI App Builder, which is essential for defining compelling product features aimed at making information readily accessible. The course's modules on architecture, security, data management, and analytics equip a product manager with the technical literacy to make informed decisions, prioritize effectively, and communicate clearly with engineering teams on building and improving search products.

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Information Architect

An Information Architect structures and organizes information within complex systems to enhance usability and discoverability. This role designs navigation, labeling, and search capabilities, ensuring users can easily find and understand desired content. An Information Architect may find the "Enterprise Search on Generative AI App Builder" course helpful in addressing the challenge of making information readily accessible. The course provides practical insights into how Generative AI can create better search and recommendation experiences. Understanding how to manage data in a search engine and configure the display of enterprise search results from various data sources directly informs an Information Architect's design decisions regarding information organization and retrieval, ensuring a coherent and effective user journey for both employees and customers.

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Knowledge Management Specialist

A Knowledge Management Specialist facilitates the creation, sharing, and use of an organization's knowledge assets. This role implements strategies and tools to improve information accessibility, collaboration, and learning within an enterprise. The "Enterprise Search on Generative AI App Builder" course may be particularly helpful for a Knowledge Management Specialist, as it directly addresses the challenge of making internal information readily accessible. This role benefits from understanding how Generative AI App Builder can provide better search experiences across scattered internal documentation, wikis, and file shares. The course's focus on managing data in a search engine and configuring search results offers practical knowledge for improving the discoverability and utility of an organization’s knowledge base, ultimately enhancing enterprise-wide information sharing and reducing frustration.

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Data Governance Specialist

A Data Governance Specialist develops and enforces policies and standards for data quality, security, privacy, and compliance within an organization. This role ensures data integrity and manages risks associated with information assets. For a Data Governance Specialist, the "Enterprise Search on Generative AI App Builder" course may be particularly relevant. The syllabus directly addresses "data governance and compliance" within the context of Generative AI App Builder architecture and security. Understanding how Identity and Access Management IAM controls access to Gen App Builder apps and how data is managed within the search engine is critical. This knowledge helps ensure that the deployment of generative AI search solutions adheres to an organization's data policies and regulatory requirements, safeguarding sensitive enterprise information, which is a core responsibility.

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Business Analyst

A Business Analyst bridges the gap between business needs and technical solutions. This role gathers and analyzes requirements, identifies problems, and recommends solutions to improve processes and systems within an organization. For a Business Analyst, the "Enterprise Search on Generative AI App Builder" course may offer valuable insights into addressing critical business challenges related to information accessibility for employees and customers. The course's focus on enterprise search use cases provides a framework for identifying where Generative AI can offer better search and recommendation experiences. Understanding the technical architecture and data management aspects, even at a conceptual level, helps a Business Analyst translate business requirements into actionable specifications for developing and implementing Generative AI-powered search solutions.

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User Experience Designer

A User Experience Designer designs intuitive and engaging user interfaces and experiences for digital products. This includes conducting user research, creating wireframes and prototypes, and ensuring usability and accessibility. A User Experience Designer may find the "Enterprise Search on Generative AI App Builder" course helpful, especially when designing interfaces that incorporate complex search functionalities. The module on "Displaying Enterprise Search Results" is particularly relevant, as it discusses configuring results from various data types and integrating search in applications. Understanding the underlying generative AI search capabilities and architecture enables a User Experience Designer to create more effective and user-friendly interfaces for search and navigation, directly addressing customer frustrations with ineffective site search and poor navigation capabilities.

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DevOps Engineer

A DevOps Engineer automates and streamlines the software development lifecycle, ensuring efficient deployment, operation, and scaling of applications and infrastructure. This role manages continuous integration and continuous delivery pipelines. A DevOps Engineer may find the "Enterprise Search on Generative AI App Builder" course helpful for understanding the specific deployment and operational considerations for generative AI search applications. While Generative AI App Builder simplifies much of the infrastructure, understanding its architecture, authentication, access control with Identity and Access Management IAM, and data management is crucial for efficient deployment and monitoring. The course's insights into product usage through analytics also inform observability strategies, enabling a DevOps Engineer to effectively manage the lifecycle of enterprise search solutions built on this Google Cloud platform.

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Site Reliability Engineer

A Site Reliability Engineer combines software engineering with operations to build and run large-scale, fault-tolerant systems. This role focuses on system availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning. A Site Reliability Engineer may find the "Enterprise Search on Generative AI App Builder" course helpful in understanding the operational aspects of generative AI-powered search applications. The course covers Generative AI App Builder architecture, security, Identity and Access Management IAM, and particularly touches upon pricing, which informs resource management and cost optimization. While not directly about SRE practices, knowing how to manage data in a search engine and understanding product usage through analytics provides context for monitoring system health, performance, and scaling requirements for enterprise search solutions, ensuring information is always readily accessible.

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Customer Success Manager Enterprise Software

A Customer Success Manager Enterprise Software builds strong relationships with enterprise clients, ensuring they achieve maximum value from software products. This role provides strategic guidance, resolves issues, and identifies opportunities for product adoption and expansion. A Customer Success Manager focused on enterprise software may find the "Enterprise Search on Generative AI App Builder" course helpful. This role often involves guiding customers through the implementation and optimization of complex solutions. Understanding the capabilities of Generative AI App Builder, its architecture, and the various enterprise search use cases allows a Customer Success Manager to better articulate the value proposition, troubleshoot common adoption challenges, and provide informed recommendations to clients looking to improve their information accessibility and search experiences using Google Cloud's Generative AI offerings.

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