Coursera

Alibaba Cloud Native Solutions and Container Service (Coursera)

Offered by Alibaba Cloud Academy,

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

Coursera

University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure (Coursera)

Security & Networking

Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come.

Jun 1st 2026

4 Weeks

Cloud Web Services Cloud Computing

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.

Jun 5th 2026

5-12 Weeks

ML NLP Machine Learning

Coursera

IBM

Introduction to Computer Vision with Watson and OpenCV (Coursera)

Data Science

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.

Jun 1st 2026

4 Weeks

Python Artificial Intelligence Machine Learning

Coursera

EDHEC Business School

Python and Machine-Learning for Asset Management with Alternative Data Sets (Coursera)

Economics & Finance Business

Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications.

Jun 1st 2026

4 Weeks

Python Machine Learning Asset Management

Coursera

Imperial College London

Mathematics for Machine Learning: Linear Algebra (Coursera)

Statistics & Data Analysis Data Science

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.

Jun 1st 2026

5-12 Weeks

Math Machine Learning Linear Algebra

Coursera

Johns Hopkins University

Practical Machine Learning (Coursera)

Statistics & Data Analysis Data Science

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates.

Jun 1st 2026

4 Weeks

Algorithms Machine Learning Regression

Coursera

LearnQuest

Getting Started with Azure (Coursera)

CS: Information & Technology

This course in an introduction to Microsoft Azure services. Students will gain familiarity with core Azure topics and practice implementation of infrastructure components.

Jun 1st 2026

5-12 Weeks

Cloud Computing Microsoft Azure Azure

Coursera

University of Alberta,Alberta Machine Intelligence Institute

Sample-based Learning Methods (Coursera)

Data Science

In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning.

Jun 1st 2026

4 Weeks

Learning Artificial Intelligence Machine Learning

Coursera

New York Institute of Finance,Google Cloud

Introduction to Trading, Machine Learning & GCP (Coursera)

Data Science

In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.

Jun 1st 2026

4 Weeks

Finance Machine Learning Neural Networks

Coursera

University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

Data Science

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Jun 1st 2026

5-12 Weeks

Algorithms Machine Learning Clustering

Coursera

Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

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.

Jun 1st 2026

4 Weeks

NoSQL Machine Learning Big Data

Coursera

LearnQuest

Developing AI Applications on Azure (Coursera)

Data Science

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Jun 1st 2026

5-12 Weeks

ML Artificial Intelligence Machine Learning