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Vertex AI Search for Retail Agent Builder

Google Cloud Training

This on-demand course provides partners the skills required to design, deploy, and monitor Vertex AI Search for Retail Agent Builder solutions including retail search and recommendation AI for enterprise customers. Retail Search was previously known as Discovery AI so you may see references to the older product name in this course.

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What's inside

Syllabus

Introduction
This introductory module outlines what this course will cover and provides an overview of the Discovery AI solution and its benefits.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops professional skills used by Retail Search and Recommendation Engineers for enterprise customers
Offered by Google Cloud Training, reputable in its domain
Prerequisites required, which may present difficulties for some

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Reviews summary

Implementing vertex ai retail solutions

According to the course design, learners are expected to gain skills in designing, deploying, and monitoring Vertex AI Search for Retail Agent Builder solutions. This course aims to provide a structured understanding of retail search and recommendation AI, covering topics from architecture overview and data ingestion to model training and serving configurations. It is designed for professionals implementing enterprise AI solutions. Potential learners should be prepared for a technically focused curriculum that may presume some prior familiarity with AI concepts and Google Cloud.
Equips learners with deployable, real-world skills for retail AI.
"This course helped me understand how to actually integrate AI models into a live website using serving configurations."
"The focus on enterprise customers means the skills are directly applicable to my professional work in retail."
"I found the sections on monitoring and management particularly useful for ongoing system operations."
Covers the full lifecycle of Vertex AI Search for Retail solutions.
"I appreciate how the course goes from understanding the core architecture to the practical aspects of data ingestion and model deployment."
"The content spans everything needed to implement Retail Search and Recommendations, from initial concept to ongoing operations."
"It provides a clear roadmap for designing and deploying AI solutions specifically in a retail environment."
Could benefit from more extensive or detailed practical lab exercises.
"While theoretical concepts are well-explained, I wish there were more guided labs to reinforce the learning."
"I had to supplement the course with my own experiments to fully grasp the implementation details."
"More hands-on demos, especially for complex integration scenarios, would enhance the learning process significantly."
Requires existing familiarity with AI/ML and Google Cloud concepts.
"As an intermediate learner, I felt the pace was good, but a beginner might struggle without prior cloud or ML exposure."
"The course jumps straight into advanced topics, so having a foundational understanding beforehand is crucial."
"I'd recommend reviewing core Google Cloud AI services before diving into this specific agent builder."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Vertex AI Search for Retail Agent Builder with these activities:
Review HTTP Concepts
Reviewing HTTP Concepts can help ensure that learners have a solid foundation in the fundamental concepts of the web, preparing them to succeed in this course.
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Show steps
  • Read resources on HTTP concepts
  • Practice using HTTP commands
Review previous experience with data management
Refresh your memory on fundamental data management concepts to prepare for this course and its projects.
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Show steps
  • Review data management concepts
  • Refresh your knowledge of data structures
  • Practice data manipulation techniques
Review basic concepts of machine learning and artificial intelligence
Strengthens foundational knowledge in machine learning and AI, which are essential for understanding Vertex AI Search for Retail Agent Builder.
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  • Review online tutorials or articles on machine learning concepts
  • Complete practice problems or exercises
  • Discuss concepts with peers or mentors
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Study Group Discussions
Participating in Study Group Discussions encourages learners to engage with their peers, exchange ideas, and reinforce their understanding through peer-to-peer learning.
Show steps
  • Form a study group
  • Meet regularly and discuss course topics
Explore the Vertex AI Search for Retail Agent Builder documentation
Provides a thorough understanding of Vertex AI Search for Retail Agent Builder by exploring its comprehensive documentation.
Show steps
  • Visit the Vertex AI Search for Retail Agent Builder documentation website
  • Review the introductory materials to get an overview of the platform
  • Explore the specific sections related to your interests or learning needs
Join a study group or discussion forum for Vertex AI Search for Retail Agent Builder
Enhances understanding of Vertex AI Search for Retail Agent Builder by engaging in discussions and sharing knowledge with peers.
Show steps
  • Identify a study group or discussion forum focused on Vertex AI Search for Retail Agent Builder
  • Join the group and actively participate in discussions
  • Share your insights and experiences with others
Develop a use case for Vertex AI Search for Retail Agent Builder in your organization
Provides a practical application for Vertex AI Search for Retail Agent Builder by creating a use case specific to your organization.
Show steps
  • Identify a specific business problem or opportunity that Vertex AI Search for Retail Agent Builder could address
  • Develop a detailed use case document that outlines the problem, the solution, and the expected benefits
  • Present your use case to stakeholders and get buy-in
Build a Recommendation Model
Building a Recommendation Model allows learners to apply the theoretical concepts covered in the course to a practical scenario, solidifying their understanding.
Browse courses on Machine Learning Fundamentals
Show steps
  • Gather and prepare data
  • Choose and train a model
  • Evaluate and refine the model
Practice writing recommendations and configuring serving in Vertex AI Search for Retail Agent Builder
Reinforces understanding of how to write recommendations and configure serving in Vertex AI Search for Retail Agent Builder by practicing these tasks.
Show steps
  • Create a small dataset of retail products
  • Write a recommendation model using available training data
  • Configure serving to integrate your model into a website or application
  • Evaluate your model's performance
Participate in a hackathon or competition that involves Vertex AI Search for Retail Agent Builder
Provides a challenging and engaging environment to apply and test knowledge of Vertex AI Search for Retail Agent Builder.
Show steps
  • Identify a hackathon or competition that aligns with your interests
  • Team up with other participants or work independently
  • Develop a solution that leverages Vertex AI Search for Retail Agent Builder
  • Submit your solution and compete for recognition
Organize and summarize the key concepts covered in the Vertex AI Search for Retail Agent Builder course
Reinforces understanding of Vertex AI Search for Retail Agent Builder by organizing and summarizing the key concepts covered in the course.
Show steps
  • Review the course materials and identify the main topics
  • Create a summary or outline of the key concepts

Career center

Learners who complete Vertex AI Search for Retail Agent Builder will develop knowledge and skills that may be useful to these careers:

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Course image
Effort
5 hours to complete
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops professional skills used by Retail Search and Recommendation Engineers for enterprise customers
Offered by Google Cloud Training, reputable in its domain
Prerequisites required, which may present difficulties for some
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