Introduction to AI and Machine Learning on Google Cloud

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Introduction to AI and Machine Learning on Google Cloud

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Skills: ML Pipelines70%ML Maths Basics60%

Key Takeaways

Introduction to AI and machine learning on Google Cloud for building ML models and pipelines

Original Description

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: ML Pipelines

View skill →

Building a Dog Breed Identifier App from scratch - DogNet

Building a Dog Breed Identifier App from scratch - DogNet

Aladdin Persson

Complete Dockers For Data Science Tutorial In One Shot

Complete Dockers For Data Science Tutorial In One Shot

Part 6 | Deploy ML Model on Kubernetes | Auto-Scaling with HPA and Monitoring with Prometheus

Part 6 | Deploy ML Model on Kubernetes | Auto-Scaling with HPA and Monitoring with Prometheus

Abonia Sojasingarayar

MLOps Tutorial: Build a Full ML Pipeline with MLflow, DVC & Deploy on AWS

MLOps Tutorial: Build a Full ML Pipeline with MLflow, DVC & Deploy on AWS

Analytics Vidhya

Vertex Pipelines: Qwik Start

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Related Reads

Handling Time-Dependent Features Across ML Algorithm Families

Learn to handle time-dependent features in machine learning models to improve performance and avoid the cyclical data trap

Medium · Python

Why You Don’t Need a Huge AI Model to do Easy Work

Learn how to use smaller AI models for easy tasks by compiling fuzzy behavior with a big model and running it locally on a smaller model

Medium · Machine Learning

Why Python Is Secretly the Most Dangerous Skill You Can Learn in 2026

Learning Python can be a powerful and dangerous skill in 2026, making companies terrified of individuals who truly understand it

Why Python Is Secretly the Most Dangerous Skill You Can Learn in 2026

Learning Python can be a powerful and dangerous skill in 2026, and companies are taking notice

Medium · Programming

Dropout in Deep Learning