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 Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

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).

Jun 22nd 2026

4 Weeks

Programming Python Machine Learning

Coursera

University of Minnesota

Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera)

Data Science

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations.

Jun 22nd 2026

4 Weeks

Statistics Machine Learning Data Mining

Coursera

University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera)

Security & Networking

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

Jun 22nd 2026

4 Weeks

Cloud Machine Learning Big Data

Coursera

DeepLearning.AI

AI For Everyone (Coursera)

Business

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

Jun 25th 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Coursera

Scrimba

Learn to code with AI (Coursera)

CS: Software Engineering

Imagine waking up tomorrow as a web developer. What would you want to build? With AI tools like ChatGPT, you're already a developer, regardless of your experience, if you know how to work with them. So in this course, you'll build functional, interactive front-end projects while learning how to write effective prompts and debug and refine your code with the help of AI.

Jun 24th 2026

2 Weeks

Programming Artificial Intelligence HTML

Coursera

Imperial College London

Getting started with TensorFlow 2 (Coursera)

Data Science

Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models.

Jun 22nd 2026

5-12 Weeks

Machine Learning Data Science APIs

Coursera

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam (Coursera)

CS: Information & Technology Computer Science

From the course: "The best way to prepare for the exam is to be competent in the skills required of the job." This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.

Jun 27th 2026

5-12 Weeks

Machine Learning Data Engineer Google Cloud

Coursera

University of Washington

Communicating Data Science Results (Coursera)

Statistics & Data Analysis Data Science

Making predictions is not enough! Effective data scientists know how to explain and interpret their results, and communicate findings accurately to stakeholders to inform business decisions. Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to exploit the enormous bandwidth of the human visual cortex. In this course you will learn to recognize, design, and use effective visualizations.

Jun 22nd 2026

3 Weeks

Ethics Cloud Computing Privacy

Coursera

University of Washington

Machine Learning: Clustering & Retrieval (Coursera)

Statistics & Data Analysis Data Science

Case Studies: Finding Similar Documents. A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover?

Jun 22nd 2026

5-12 Weeks

Machine Learning Clustering MapReduce

Coursera

DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

CS: Software Engineering Computer Science

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Jun 22nd 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Coursera

University of Washington

Machine Learning: Classification (Coursera)

Statistics & Data Analysis Data Science

Case Studies: Analyzing Sentiment & Loan Default Prediction. In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank.

Jun 22nd 2026

5-12 Weeks

Python Machine Learning Classification

Coursera

DeepLearning.AI

Neural Networks and Deep Learning (Coursera)

Data Science

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning.

Jun 22nd 2026

4 Weeks

Programming Machine Learning Neural Networks