What you'll learn

Data Preparation: We'll explore techniques for preparing data for ML, including data cleaning, feature engineering, and data splitting.

AutoML: We'll learn how to use Vertex AI's AutoML capabilities to automatically train ML models for various tasks, such as classification, regression.

Custom Model Training: We'll dive into the process of building and training custom ML models using Vertex AI's tools and frameworks.

Model Deployment: We'll discover how to deploy trained ML models to production environments, including creating endpoints and integrating models.

Model Monitoring: We'll learn how to monitor deployed models to ensure their performance and identify potential issues.

Requirements

No programming or prior AI knowledge is needed for this course.

Description

Welcome to the ultimate comprehensive guide to Vertex AI, Google Cloud's powerful machine learning (ML) platform. In this immersive course, you'll embark on a journey from beginner to expert, mastering the concepts, tools, and techniques to build, deploy, and manage high-performing ML models using Vertex AI.Whether you're a data scientist, software engineer, or business professional seeking to leverage ML for your organization, this course is designed to equip you with the skills and knowledge to excel in the exciting world of machine learning.What You'll Learn:Master the fundamentals of machine learning: Gain a solid understanding of the core concepts of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.Explore Vertex AI's comprehensive features: Delve into the rich ecosystem of tools and features offered by Vertex AI, including data preparation, model training, model deployment, and model monitoring.Harness the power of AutoML: Discover the transformative capabilities of Vertex AI AutoML, enabling you to build and train high-performing ML models with minimal coding expertise.Unravel the black box with XAI: Gain insights into the decision-making processes of your ML models using Vertex AI's Explainable AI (XAI) toolkit, fostering trust and transparency in your AI applications.Deploy and manage ML models in production: Learn how to seamlessly deploy your trained ML models into production environments using Vertex AI's deployment and management tools.Why Choose This Course:Comprehensive and Up-to-Date: This course covers the latest features and advancements in Vertex AI, ensuring you stay at the forefront of ML technology.Hands-on Learning: Engage in practical exercises and real-world projects to solidify your understanding and apply your skills to solve real-world problems.Expert Guidance: Learn from experienced instructors with deep expertise in machine learning and Vertex AI, gaining valuable insights and mentorship.Flexible Learning: Access the course materials at your own pace, tailoring your learning journey to your schedule and preferences.This course is ideal for:Data scientists seeking to expand their skillset with Vertex AISoftware engineers transitioning into the field of machine learningBusiness professionals interested in leveraging AI for their organizationsAnyone seeking to gain a comprehensive understanding of Vertex AI and its application in machine learningEnroll now and embark on your journey to becoming a Vertex AI expert!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Data Preparation for Machine Learning with Vertex AI

Lecture 3 Automating Machine Learning with Vertex AI AutoML

Lecture 4 Building Custom Machine Learning Models with Vertex AI

Lecture 5 Deploying Machine Learning Models to Production with Vertex AI

Lecture 6 Monitoring and Maintaining Machine Learning Models with Vertex AI

Lecture 7 Vertex AI: A Comparative Analysis

Lecture 8 The Future of Vertex AI and Emerging Trends in Machine Learning

Lecture 9 Demystifying AutoML: A Comprehensive Exploration of Vertex AI's AuoML

Lecture 10 Unveiling the Black Box: Delving into Vertex AI's Explainable AI (XAI) Toolkit

Beginner users of Vertex AI