Alibaba Cloud Native Solutions and Container Service (Coursera)

Offered by Alibaba Cloud Academy,
Alibaba Cloud Native Solutions and Container Service (Coursera)

This course demonstrates how to use Alibaba Cloud Container Service and Container Registry Service to design and develop architectures related to cloud native applications, services, and security solutions. This course helps you understand the basic concepts of cloud native, the commercial implementation of container technology, and Kubernetes technology as well as extra benefits provided by Alibaba Cloud. This course is intended to prepare users to take the Alibaba Cloud Native ACA certification exam.

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

What You Will Learn

  • Cloud Native Operations
  • Cloud Native Development

Syllabus

WEEK 1: Getting Started
WEEK 2: Container Registry Introduction
WEEK 3: Application Migration
WEEK 4: Cloud Management
WEEK 5: Resource Orchestration
WEEK 6: DevOps Best Practice
WEEK 7: Autoscaling on ACK
WEEK 8: Machine Learning
WEEK 9: Security Solutions
WEEK 10: Serverless
WEEK 11: Resources

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

Related Courses

Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning.

Sep 21st 2026
2 Weeks
Fundamentals of Kubernetes Deployment (Coursera) Coursera
LearnQuest

Fundamentals of Kubernetes Deployment (Coursera)

This course is designed to give you a deeper understanding of Kubernetes. Over the next few weeks, you'll learn about several features of Kubernetes, the Kubernetes Architecture, how to create clusters, and different installation configurations. We'll also explore deployments and how they are scaled, updated, and rolled back. We will discuss clusters, pods, and nodes, and dive into Persistent Volumes as well as Kubernetes Authorization and Authentication.

Sep 14th 2026
2 Weeks
Managing Change when Moving to Google Cloud (Coursera) Coursera
Google Cloud

Managing Change when Moving to Google Cloud (Coursera)

Moving to the cloud creates numerous opportunities to start working in a new way and it empowers the workforce to better collaborate and innovate. But it’s also a big change. Sometimes the success of the change hinges not on the change itself, but on how it’s managed. This course will help people managers to understand some of the key challenges associated with cloud adoption, and provide them with a verified in-the-field framework that will assist them in supporting their teams on the change journey.

Sep 21st 2026
1 Week
Sistemas difusos (Coursera) Coursera
Universidad Nacional de Colombia

Sistemas difusos (Coursera)

Los sistemas difusos permiten efectuar cálculos cuando hay información con incertidumbre, o cuando se debe combinar información tanto cuantitativa como cualitativa. Se trata de una aproximación matemática para modelar esas situaciones. Este curso está diseñado para ayudar a entender y explicar cómo funcionan dichos sistemas. El curso tiene una aproximación teórica y práctica. Los principios matemáticos son de un nivel bajo y están al alcance de un público muy amplio. El curso cuenta con varios laboratorios para aprender a utilizar las herramientas de software que usan esos principios. Este componente práctico requiere una comprensión mínima de programación.

Sep 21st 2026
4 Weeks
Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

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.

Sep 21st 2026
5-12 Weeks
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Sep 21st 2026
4 Weeks
Fundamentals of Machine Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Fundamentals of Machine Learning in Finance (Coursera)

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.

Sep 14th 2026
4 Weeks
Machine Learning for Smart Beta (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning for Smart Beta (Coursera)

In this 4 week course, you will learn about Smart Beta products. Smart betas products have the characteristics of both passive investment(having predetermined rules) and active investments(allows for factor investment). We will walk through the creation mechanisms behind different smart beta products and recreate some of them using R programming.

Sep 21st 2026
4 Weeks
Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.

Sep 14th 2026
4 Weeks
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Sep 14th 2026
4 Weeks