Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
Courses Weekly Breakdown
Coursera Study Guide
Courses Weekly Breakdown
table of CONTENT
- COURSE 1: Create Machine Learning Models in Microsoft Azure
- COURSE 2: Microsoft Azure Machine Learning for Data Scientist
- COURSE 3: Build and Operate Machine Learning Solutions with Azure
- COURSE 4: Perform Data Science with Azure Databricks
- COURSE 5: Prepare for DP-100: Data Science on Microsoft Azure Exam
1. CREATE MACHINE LEARNING MODELS IN MICROSOFT AZURE
In this course, you will master the core principles of machine learning and how to utilize common tools and frameworks for training, evaluating, and deploying machine learning models. The curriculum is tailored to prepare you for roles involving the planning and creation of optimal environments for data science workloads on Azure. You will learn to conduct data experiments and train predictive models effectively. Furthermore, the course will equip you with the skills to manage, optimize, and deploy machine learning models into production, ensuring they are ready for real-world application.
2. MICROSOFT AZURE MACHINE LEARNING FOR DATA SCIENTIST
In this course, you will explore how to utilize Azure Machine Learning to create and publish models without the need to write any code. You will be introduced to the platform’s intuitive, user-friendly interface, which allows you to build sophisticated machine learning models through a visual, drag-and-drop approach.
The course will guide you through the entire process, from data ingestion and preparation to model training, evaluation, and deployment. By working through practical examples and exercises, you will gain a deep understanding of how to leverage Azure Machine Learning’s no-code capabilities to efficiently develop and share your models, making advanced machine learning accessible even to those with limited programming experience.
3. BUILD AND OPERATE MACHINE LEARNING SOLUTIONS WITH AZURE
In this course, you will delve into the use of the Azure Machine Learning Python SDK to create and manage enterprise-ready machine learning solutions. You will gain hands-on experience with the tools and techniques needed to build, deploy, and monitor sophisticated ML models in a professional environment.
Through practical exercises and real-world examples, you will explore how to leverage the Azure ML Python SDK to streamline the development process, ensuring your solutions are scalable, reliable, and efficient. By the end of the course, you will be well-equipped to harness the full potential of Azure Machine Learning in your enterprise projects, from initial data preparation to final deployment and ongoing maintenance.
- Module 1 – Use The Azure Machine Learning SDK to Train a Model
- Module 2 – Work with Data and Compute in Azure Machine Learning
- Module 3 – Orchestrate Pipelines and Deploy Real-Time Machine Learning Services with Azure Machine Learning
- Module 4 – Deploy Batch Inference Pipelines and Tune Hyperparameters with Azure Machine Learning
- Module 5 – Select Models and Protect Sensitive Data
- Module 6 – Monitor Machine Learning Deployments
Liking our content? Then, don’t forget to ad us to your bookmarks so you can find us easily!
4. PERFORM DATA SCIENCE WITH AZURE DATABRICKS
In this course, you will learn how to harness the power of Apache Spark alongside robust clusters operating on the Azure Databricks platform, enabling you to efficiently run data science workloads in the cloud. You will explore the integration of these technologies to manage and analyze large datasets, gaining hands-on experience in leveraging Spark’s processing capabilities and Azure Databricks’ collaborative environment. By the end of the course, you will have a comprehensive understanding of how to optimize and scale your data science projects using these powerful cloud-based tools.
- Module 1 – Introduction to Azure Databricks
- Module 2 – Working with Data in Azure Databricks
- Module 3 – Processing Data in Azure Data Bricks
- Module 4 – Get Started with Databricks and Machine Learning
- Module 5 – Manage Machine Learning Lifecycles and Fine Tune Models
- Module 6 – Train a Distributed Neural Network and Serve Models with Azure Machine Learning
5. PREPARE FOR DP-100: DATA SCIENCE ON MICROSOFT AZURE EXAM
In this course, you will prepare for the DP-100 Azure Data Scientist Associate certification exam. You will review how to plan and create a suitable working environment for data science workloads on Azure, run data experiments, and train predictive models. Additionally, you will revisit how to manage, optimize, and deploy machine learning models into production. To ensure you’re well-prepared for certification success, you will test your knowledge with a practice exam covering all the main topics of the DP-100 exam.
The course will also provide a detailed overview of the Microsoft certification program, including potential career paths, tips and tricks, testing strategies, useful resources, and information on how to sign up for the DP-100 proctored exam. By the end of this course, you will be ready to register for and take the DP-100 exam.
- Module 1 – Prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure Exam (No Practice Quiz)
- Module 2 – Exam Preparation Course 1
- Module 3 – Exam Preparation Course 2
- Module 4 – Exam Preparation Course 3
- Module 5 – Exam Preparation Course 4
- Module 6 – Final Practice Exam
Subscribe to our site
Get new content delivered directly to your inbox.
Quiztudy Top Courses
Popular in Coursera
- Google Advanced Data Analytics
- Google Cybersecurity Professional Certificate
- Meta Marketing Analytics Professional Certificate
- Google Digital Marketing & E-commerce Professional Certificate
- Google UX Design Professional Certificate
- Meta Social Media Marketing Professional Certificate
- Google Project Management Professional Certificate
- Meta Front-End Developer Professional Certificate
Liking our content? Then, don’t forget to ad us to your BOOKMARKS so you can find us easily!
