Big Data and Machine Learning Fundamentals on Google Cloud

Course Description

Welcome to the exciting world of Big Data and Machine Learning Fundamentals on Google Cloud! This comprehensive course is designed to introduce you to Google Cloud's cutting-edge big data and machine learning products and services that power the data-to-AI lifecycle. You'll embark on a journey exploring the intricate processes, challenges, and immense benefits of constructing big data pipelines and machine learning models using Vertex AI on Google Cloud.

What You'll Learn

• Gain a deep understanding of the data-to-AI lifecycle on Google Cloud and its major big data and machine learning products
• Master the art of designing streaming pipelines using Dataflow and Pub/Sub
• Develop skills to analyze big data at scale with BigQuery
• Explore various options for building machine learning solutions on Google Cloud
• Understand the intricacies of a machine learning workflow and key steps using Vertex AI
• Hands-on experience in building a machine learning pipeline using AutoML

Prerequisites

This course is designed for beginners, and there are no specific prerequisites. However, a basic understanding of cloud computing concepts and familiarity with data analysis would be beneficial.

Course Content

• Introduction to Google Cloud's infrastructure and big data/ML products
• Streaming data management using Pub/Sub and Dataflow
• Data visualization with Looker and Data Studio
• BigQuery for data warehousing and BigQuery ML for custom ML models
• Overview of machine learning options on Google Cloud
• In-depth exploration of Vertex AI for ML project lifecycle management
• Practical application of AutoML for building ML models

Who This Course Is For

• Aspiring data engineers and data scientists
• IT professionals looking to transition into big data and machine learning
• Business analysts seeking to understand cloud-based data solutions
• Students and professionals interested in Google Cloud's data and AI capabilities
• Anyone curious about the intersection of big data and machine learning in cloud computing

Real-World Applications

• Design and implement big data solutions for businesses
• Create real-time data processing systems for various industries
• Develop predictive models for business decision-making
• Optimize data warehousing and analysis processes
• Build and deploy machine learning models for diverse applications
• Enhance data visualization and reporting capabilities
• Contribute to data-driven digital transformation initiatives

Syllabus

Each section of the syllabus is designed to provide a comprehensive understanding of the topic, with practical examples and hands-on exercises to reinforce learning. By the end of this course, you'll be well-equipped to tackle real-world big data and machine learning challenges using Google Cloud's powerful suite of tools and services.