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via Udemy |
Go to Course: https://www.udemy.com/course/dp-100-azure-machine-learning-in-python-basic-to-advance/
Certainly! Here’s a comprehensive review and recommendation of the Coursera course based on the details provided: --- **Course Review: An Excellent Entry Point for Aspiring Data Scientists and Machine Learning Professionals** This Coursera course is an outstanding resource designed to cater to a broad audience, from complete beginners with no programming background to experienced data scientists and Python developers. The course is especially aligned with the latest updates in the DP-100 Certification, making it highly relevant for those preparing for this industry-recognized credential. **What You Will Learn:** The curriculum covers a wide range of topics, ensuring students gain both foundational knowledge and practical skills: - Setting up a free Azure account and accessing AzureML Studio. - Understanding the complete architecture of Azure Machine Learning. - Creating virtual environments for Python projects using YAML files. - Training machine learning and deep learning models locally and deploying them seamlessly on Azure. - Connecting various storage solutions like Azure SQL Database to AzureML. - Deploying models in real-time and performing predictions. - Developing machine learning pipelines and fine-tuning hyperparameters. - Utilizing Azure Auto ML for automated model creation. - Building a comprehensive machine learning lifecycle without writing a single line of code, leveraging AzureML Studio’s visual interface. - Managing and provisioning Azure Machine Learning workspaces. **Strengths of the Course:** - **Beginner-Friendly Yet Comprehensive:** The course is tailored for those starting from scratch but also offers advanced insights for seasoned professionals. - **Hands-On Learning:** Practical exercises like deploying models, working with different storage options, and creating pipelines make the learning experience engaging and directly applicable. - **Latest Industry Relevance:** Updated according to the latest DP-100 certification changes, ensuring learners acquire current industry-standard skills. - **Flexibility:** The ability to train models locally and deploy them on Azure bridges the gap between development and production environments. - **Automation and No-Code Options:** Features like Azure Auto ML empower learners to build models efficiently without extensive coding. **Recommendations:** I highly recommend this course to: - Beginners eager to learn data science and machine learning fundamentals in a cloud environment. - Data scientists and Python developers seeking to expand their skillset with AzureML. - Professionals aiming to understand how to deploy and manage machine learning models in production, whether cloud-based or on-premises. - Those preparing for the DP-100 certification, as the course aligns well with its exam objectives. **Final Verdict:** This course provides a well-rounded introduction to Azure Machine Learning, blending theoretical concepts with practical application. Its focus on real-world deployment scenarios and the latest updates makes it an invaluable resource for anyone looking to deepen their knowledge of cloud-based machine learning. Whether you want to start your AI journey or enhance your deployment skills, this course is a worthwhile investment. --- If you need further help with enrolling or additional resources, feel free to ask!
This course has been designed keeping in mind entry level Data Scientists or no background in programming. This course will also help the data scientists and python developers to learn the AzureML.This course is designed based on latest changes done in DP-100 Certification. This course would also be useful for the experts who needs to know how to create and deploy a machine learning environment in production. Environment could be cloud or on-premisesIn this course student will learn to:-Create Free Azure account and how to access AzureML studioWe will learn complete architecture of Azure Machine learningHow we can create a virtual env for python using yml file in your local machineWill train machine learning and deep learning algorithm in azure ml in local machine and same code will be executed in azure as well.How different storage can be attached to azure ml like Azure SQL DB How to deploy ML in azure and do real time predictionWe will cover how to create machine learning pipeline and how to do hyperparameter tuningWe will also learn how to implement Azure Auto MLHow to create complete machine learning lifecycle without writing a single code with the help of azure machine learning studio.Understanding of the components and how they work together to assist in the process of building, deploying, and maintaining machine learning models.Provision an Azure Machine Learning workspaceUse tools and interfaces to work with Azure Machine Learning.Run code-based experiments in an Azure Machine Learning workspace.