Vertex Artificial Intelligence Training

Live Online & Classroom Enterprise Training

Vertex AI is Google Cloud's unified AI platform for building, training, deploying, and managing ML models efficiently.

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What is Vertex Artificial Intelligence Course about?

This course provides comprehensive training on Vertex AI, Google's advanced platform for building, deploying, and scaling machine learning (ML) models. Learners will explore how to create ML pipelines, automate workflows, and utilize pre-trained models and custom models to solve real-world problems. The course emphasizes hands-on experience with the Vertex AI ecosystem, enabling participants to become proficient in modern ML practices.

What are the objectives of Vertex Artificial Intelligence Course ?

Understand the core components and features of Vertex AI.
Build, train, and deploy machine learning models using Vertex AI.
Create end-to-end ML pipelines for automation and scalability.
Leverage pre-trained models and custom training workflows. Optimize ML models for performance and cost-efficiency on Google Cloud.
Gain hands-on experience in real-world applications of Vertex AI.

Who is Vertex Artificial Intelligence Course for?

Data scientists looking to leverage Vertex AI for ML model deployment.
ML engineers seeking hands-on experience with Google Cloud tools.
Developers aiming to integrate machine learning into applications.
IT professionals exploring advanced ML workflows on Google Cloud.
Anyone preparing for Google Cloud AI certifications.

What are the prerequisites for Vertex Artificial Intelligence Course?

Basic understanding of machine learning concepts.
Familiarity with Python programming.
Experience with Google Cloud Platform (GCP) is recommended but not mandatory.

Available Training Modes

Live Online Training

5 Days

Self-Paced Training

30 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Vertex AI

Overview of Vertex AI and its capabilities

Key use cases and applications

Setting up the Vertex AI environment on GCP

Module 2: Data Preparation and Management

Importing and preprocessing data for ML

Working with BigQuery and Cloud Storage

Best practices for managing training datasets

Module 3: Building and Training Models

Using AutoML for rapid model creation

Custom model training with Vertex AI Workbench

Hyperparameter tuning and optimization

Module 4: Deploying and Managing Models

Deploying models to Vertex AI endpoints

Monitoring and managing deployed models

Real-time predictions and batch predictions

Module 5: Building ML Pipelines

Introduction to Vertex AI Pipelines

Automating workflows with pipeline components

Hands-on project: Creating an end-to-end ML pipeline

Module 6: Advanced Topics and Optimization

Integrating Vertex AI with other GCP services

Cost optimization techniques

Scaling ML models for large datasets

Who is the instructor for this training?

The trainer for this Vertex Artificial Intelligence Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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