Free Online Vertex AI Course from Google Cloud in 2023

This post we will introduce you to the Free Online Vertex AI Course from Google Cloud in 2023 and provide you with a roadmap for learning more about it. We will also cover some of the benefits of using Vertex AI, as well as some of the challenges that you may face.

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What is Vertex AI?

Vertex AI is a managed machine learning platform that provides a unified experience for building, deploying, and managing machine learning models. It includes a variety of features that make it easy to get started with machine learning, even if you don’t have any prior experience.

What is the Benefit Of Vertex Ai?

Here are some of the benefits of using Vertex AI:

It is a managed platform, so you don’t have to worry about the underlying infrastructure. Vertex AI takes care of all the details, such as provisioning compute resources, managing data, and deploying models. This frees you up to focus on building and improving your models.

It provides a variety of pre-trained models that you can use to get started quickly. Vertex AI has a library of pre-trained models that you can use for a variety of tasks, such as image classification, natural language processing, and fraud detection. This can save you a lot of time and effort in building your own models.

It has a built-in model registry for managing your models. The model registry allows you to store, organize, and track your models. This makes it easy to find and reuse models and to ensure that you are using the latest versions of your models.

It provides a variety of tools for monitoring and debugging your models. Vertex AI provides tools for monitoring the performance of your models and for debugging problems. This can help you to improve the accuracy and reliability of your models.

why you should learn Free Online Vertex AI Course?

Here are some of the reasons why you should learn Vertex AI:

It is a powerful machine-learning platform that can be used to solve a variety of problems. Vertex AI can be used for tasks such as image classification, natural language processing, fraud detection, and recommendation systems.

It is a growing platform with a large and active community. There are many resources available for learning Vertex AI, including documentation, tutorials, and blog posts. There is also a large community of Vertex AI users who can help you with problems and answer questions.

It is a cloud-based platform, which means that you can access it from anywhere. This makes it a convenient platform for businesses and individuals who want to build and deploy machine learning models.

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Here Are 3 Free Online Courses Of Vertex AI

1. What is Vertex AI? Developer advocates share more

With so much data at our fingertips, many organizations are utilizing machine learning to generate insightful predictions and improve their apps. But most teams have varying levels of machine learning expertise, ranging from novice all the way to experts. To accelerate AI innovation, you need a platform that can help you build expertise for those novice users, and provide a flexible environment for those experts. This is where Vertex AI comes in. 

Announced last week, Vertex AI unifies Google Cloud’s existing ML offerings into a single environment for efficiently building and managing the lifecycle of ML projects. It provides tools for every step of the machine learning workflow across different model types, for varying levels of machine learning expertise.

Course Link CLICK HERE

2. Vertex AI: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console.

In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce Vertex AI through a high-value real-world use case – predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.

Course Link CLICK HERE

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3. Understanding and Applying Text Embeddings with Vertex AI

The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions.

During this course, you’ll use text embeddings for tasks like classification, outlier detection, text clustering, and semantic search. You’ll combine semantic search with the text generation capabilities of an LLM to build a question-answering system using Google Cloud’s Vertex AI.

You’ll also explore:

• The properties of word and sentence embeddings
• How embeddings can be used to measure the semantic similarity between two pieces of text
• How to apply text embeddings for tasks such as classification, clustering, and outlier detection
• Modify the text generation behavior of an LLM by adjusting the parameters temperature, top-k, and top-p
• How to apply the open source ScaNN (Scalable Nearest Neighbors) library for efficient semantic search
• How to build a Q&A system by combining semantic search with an LLM 

Upon successful completion of this course, you will grasp the underlying concepts of using text embeddings, and will also gain proficiency in generating embeddings and integrating them into common LLM applications.

Course Link CLICK HERE