Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.
This course is designed to prepare you for roles that include planning and creating a suitable working environment for data science workloads on Azure. You will learn how to run data experiments and train predictive models. In addition, you will manage, optimize, and deploy machine learning models into production. From the most basic classical machine learning models, to exploratory data analysis and customizing architectures, you’ll be guided by easy -to-digest conceptual content and interactive Jupyter notebooks. If you already have some idea what machine learning is about or you have a strong mathematical background this course is perfect for you. These modules teach some machine learning concepts, but move fast so they can get to the power of using tools like scikit-learn, TensorFlow, and PyTorch. This learning path is also the best one for you if you're looking for just enough familiarity to understand machine learning examples for products like Azure ML or Azure Databricks. It's also a good place to start if you plan to move beyond classic machine learning and get an education in deep learning and neural networks, which we only introduce here. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure . Each course teaches you the concepts and skills that are measured by the exam.
JK
Great course with lots of insights. Definetly worth it!
GM
some answers are wrong in 4th course. Rest of the course was very comprehensive and a must do before dp100.
DW
Condense but solid course on ML basics. AND first time I was guided in a cloud provider for ML use cases without having to shed tears from frustration. Very good to gain first familiarity with Azure.
FM
Good course with a focus on helping the learner to better understand ML concepts and the coding associated to it before diving deep into Azure tool
NG
Awesome course and instructor was great in delivering content
MA
The journey was really interesting. I'm really inspired to go on this course till its end.
SR
Very good content and explanations by the instructor
SC
Really annoying and very hard authentication puzzle where you have to identify matching items 15 times. I want to learn, not spend my time doing stupid authentication puzzles.
ML
Using Microsoft Azure was optional. Other than that, we get a refreshener on ML topics with great examples.
SH
I found this course very intellectual and practical in learning machine learning and deep learning.
LD
The course is really effective in providing material that will reinforce the learning process; audio learning, hands-on labs, visual learning, quizzes, and final review test.
SA
This course is very easy to understand and have a great value for new data science professionals. To the point explanations and engaging content by team Microsoft.
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This course urgently needs a critical update in labs and tests. Azure SDK for Python is now in V2 but this course shows examples for V1, that will be abandoned by september 2025. The links to exercises are broken. It´s hard to learn this way to be honest.
None of the labs work
The module of Week 1 is very helpful and interesting since it capture parts of Data Analysis knowledge and terms.
In week 2, the concepts of different basic Machine Learning algorithms and models are also easy to understand, straightfully, not a 'wall of text' but concise theories and explanations.
In week 3, they already provided the notebooks that you can run and investigate how they work on the jupyter environment of Azure. You also learn how to create a Azure compute resource that will be used to run the Machine Learning process.
One of the drawback is that the Azure required such free trial subscription or a student account, so there might be cases that people find it difficult to create one or they have tried it before and the subscription has expired. But well this might be a rare occasion I believe. In overall, this is a wonderful course to help you engage with the foundation of Data Science and Machine Learning.
Not much about Azure, only Deep Learning exercises are done using Jupyter Notebooks in Azure environment. Course is a quick review of what different method of ML are. If someone didn't use them before, I think it would be hard to understand what is happening.
Very important and usefull curse!! De forma clara fala sobre assuntos complexos e treinamento de forma clara na plataforma do Azure Parabens e o video a instrutora passa de modo confiante e explicativo em detalhes sobre o aprendizado de maquina Realmente gostaria de ter essse material de forma vitalicia!!
Great introductory course that helped demystify Machine Learning and gave me a strong foundation of reading python code. The structure of the python code helped break down key concepts that were gained through the knowledge share videos. Highly recommended and great job by Microsoft and Coursera.
Its a great course. Thank you very much Coursera for provide me opportunity to earn this valuable certificate. This course have upgraded koeledge and very clear explanation. Sametime the practical lessons give much experience.
Condense but solid course on ML basics. AND first time I was guided in a cloud provider for ML use cases without having to shed tears from frustration. Very good to gain first familiarity with Azure.
Really annoying and very hard authentication puzzle where you have to identify matching items 15 times. I want to learn, not spend my time doing stupid authentication puzzles.
The course is really effective in providing material that will reinforce the learning process; audio learning, hands-on labs, visual learning, quizzes, and final review test.
This course is very easy to understand and have a great value for new data science professionals. To the point explanations and engaging content by team Microsoft.
I found this course very intellectual and practical in learning machine learning and deep learning.
The journey was really interesting. I'm really inspired to go on this course till its end.
Genial el disfrute de este curso y te hace ver la inmensidad de ML.
Very complete course and of excellent quality, 100% recommended.
Easy to understand and very good explanation from the instructor
Awesome course and instructor was great in delivering content
Great course with lots of insights. Definetly worth it!
Very good content and explanations by the instructor
very good videos and up to date Jupyter books