Coursera

End-to-End Machine Learning with TensorFlow on GCP (Coursera)

Offered by Google Cloud,

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization. One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Prerequisites:
Basic SQL, familiarity with Python and TensorFlow.
Course 1 of 5 in the Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization.

Syllabus

WEEK 1
Welcome to the Course
We'll give you an overview of this course and reveal the upcoming Advanced Machine Learning with TensorFlow on GCP specialization.
Machine Learning (ML) on Google Cloud Platform (GCP)
This module reviews the steps of deploying machine learning in a production environment.
Explore the Data
This module explores a large dataset using Datalab and BigQuery.

WEEK 2
Create the dataset
This modules shows how to use Pandas in Datalab and sample a dataset for local development.
Build the Model
This module let's you develop a machine learning model in Tensorflow.

WEEK 3
Operationalize the model
This module explains how to preprocess data at scale for machine learning and lets you train a machine learning model at scale on Cloud AI Platform.
Summary
This module reviews what you've learned in this course.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Data Science

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Nov 23rd 2026

5-12 Weeks

Machine Learning Translation Data Science

Coursera

Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Business

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Nov 23rd 2026

5-12 Weeks

Artificial Intelligence Cloud Machine Learning

Coursera

Edge Impulse

Computer Vision with Embedded Machine Learning (Coursera)

Data Science

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.

Nov 23rd 2026

3 Weeks

Machine Learning Computer Vision Object Detection

Coursera

Sungkyunkwan University - SKKU

Machine Learning Algorithms (Coursera)

CS: Software Engineering Data Science

In this course you will: understand the naïve Bayesian algorithm; understand the Support Vector Machine algorithm; understand the Decision Tree algorithm; understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Nov 23rd 2026

4 Weeks

Machine Learning Clustering Support Vector Machines

Coursera

Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

CS: Software Engineering CS: Programming

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Nov 23rd 2026

5-12 Weeks

Python Object-Oriented Programming Data Visualization

Coursera

UNSW Sydney - University of New South Wales

Remote Sensing Image Acquisition, Analysis and Applications (Coursera)

Engineering

Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.

Nov 30th 2026

13-24 Weeks

Analysis Algorithms Machine Learning

Coursera

University of Michigan

Information Extraction from Free Text Data in Health (Coursera)

Sci: Biology & Life Sciences Health & Society

In this MOOC, you will be introduced to advanced machine learning and natural language processing techniques to parse and extract information from unstructured text documents in healthcare, such as clinical notes, radiology reports, and discharge summaries. Whether you are an aspiring data scientist or an early or mid-career professional in data science or information technology in healthcare, it is critical that you keep up-to-date your skills in information extraction and analysis.

Nov 23rd 2026

4 Weeks

Machine Learning Natural Language Natural Language Processing

Coursera

Yonsei University

Deep Learning for Business (Coursera)

Management & Leadership

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Nov 16th 2026

5-12 Weeks

Business ML Artificial Intelligence

Coursera

Sungkyunkwan University - SKKU

Machine Learning Basics (Coursera)

CS: Software Engineering

In this course, you will: understand the basic concepts of machine learning; understand a typical memory-based method, the K nearest neighbor method; understand linear regression; understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Nov 23rd 2026

4 Weeks

Machine Learning Linear Regression Logistic Regression

Coursera

Duke University

Introduction to Machine Learning (Coursera)

Data Science

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Nov 16th 2026

5-12 Weeks

ML NLP Machine Learning

Coursera

Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Health & Society Data Science

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Nov 23rd 2026

4 Weeks

Healthcare Artificial Intelligence Machine Learning

Coursera

Illinois Tech

Cloud: Platform as a Service - Bachelor's (Coursera)

CS: Information & Technology

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Nov 23rd 2026

5-12 Weeks

Cloud Machine Learning PaaS