Vertex AI Search and Conversation- Course Overview

This Course has been retired. A new version of this exam, Build Production-Ready Agents on Google Cloud is available. Do visit this course page for more details.

This course will equip you to: 

  • Build custom search engines, prepare data, and configure integrations. 
  • Design chatbots with Vertex AI Conversation and explore deployment options. 
  • Manage data changes and schemas. 
  • Ensure security and leverage monitoring & logging for robust AI experiences. 
  • Integrate search and create chat applications.

Note: This course is no longer available and has been officially replaced by Develop Search and Agents with AI Applications  Certification

After completing this course on Vertex AI Search and Conversation, Students will be able to

  • Leverage Vertex AI's platform for building and deploying powerful generative AI applications within your enterprise.
  • Construct custom search engines, effectively prepare data for search, and configure integrations with your applications.
  • Design and build chatbots using Vertex AI Conversation, exploring various deployment options to suit your needs.
  • Confidently manage changing data and schemas within Vertex AI's data stores, ensuring your applications stay up-to-date.
  • Implement robust security practices for your Vertex AI Search and Conversation applications, leveraging Data Loss Prevention (DLP) for added protection.
  • Utilize monitoring and logging tools to gain valuable insights into your Vertex AI applications, enabling effective troubleshooting and performance optimization.
  • Solidify your learnings through hands-on labs, where you'll integrate search functionalities and create your own chat applications using Vertex AI.

Upcoming Batches

No Upcoming Dates

Vertex AI Search and Conversation- Key Features

  • Our Google Cloud Platform training modules have 50% – 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).

  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).

  • GCP certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).

  • Well-structured use-cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.

  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.

  • Being an official Google Cloud Platform Training Partner, we offer authored curriculum that are at par with industry standards.

Who Should Attend this Course on Vertex AI Search and Conversation:

  • Cloud architects
  • Administrators
  • SysOps/DevOps personnel
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.

Prerequisites for Vertex AI Search and Conversation

Knowledge of Google Cloud Fundamentals and Core Infrastructure or have equivalent experience.

Why choose CloudThat as your Vertex AI Search and Conversation Training Partner?

  • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
  • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
  • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
  • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
  • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
  • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
  • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
  • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

Learning objective of the course –

  • Grasp Vertex AI's role as a platform for building and deploying enterprise-ready generative AI solutions.
  • Understand the interplay between apps, engines, and data stores within Vertex AI Search. Be able to create and configure custom search engines for various applications.
  • Gain foundational knowledge of Dialogflow CX and its role in building conversational agents. Develop a chat application leveraging the capabilities of Vertex AI Conversation.
  • Effectively manage changing data and schemas within Vertex AI data stores to ensure applications stay up-to-date and function optimally.
  • Comprehend and apply security features offered by Vertex AI Search and Conversation, including Data Loss Prevention (DLP) for safeguarding sensitive information.
  • Utilize monitoring and logging tools to diagnose issues and optimize the performance of Vertex AI Search and Conversation applications.

Download Course Outline

Topics:

  • Vertex AI
  • Vertex AI Search and Conversation
  • Example use cases

Objectives:

  • Explore Vertex AI as a platform for enterprise-ready generative AI
  • Describe example use cases of Vertex AI Search and Conversation.

Topics:

  • Apps, engines and data stores
  • Data preparation
  • Creating a custom search engine
  • Configuration options

Objectives:

  • Understand the main concepts of apps, engines, and data stores.
  • Create a search engine using Vertex AI Search. 
  • Configure and integrate custom search engines.

Activities:

  • Lab: Integrate Search in Applications Using Vertex AI Search

Topics:

  • Dialogflow CX basic concepts Creating a chat app
  • Options deploying conversational agents

Objectives:

  • Understand the basic concepts of data store agents and Dialogflow CX.
  • Create a chat application by using Vertex AI Conversation.

Activities:

  • Lab: Create a Generative Chat App with Vertex AI Conversation

Topics:

  • Refreshing data and schemas
  • Security and DLP
  • Monitoring and logging
  • Troubleshooting

Objectives:

  • Manage changing data and schemas in data stores.
  • Explain security features of Vertex AI Search and Conversation.
  • Use monitoring and logging for Vertex AI Search and Conversation apps
  • Troubleshoot Vertex AI Search and Conversation applications.

Activities:

  • Lab: Maintaining Search Engines using Vertex AI Search

Course Dates

No Upcoming Dates

Add to Wishlist

Course ID: 21571

Course Price at

Loading price info...
Enroll Now
Enquire Now