What you'll learn:
- Everything you need to pass the DP-100 exam and receive the Azure Data Scientist Associate certification
- All learning objectives found in the DP-100 curriculum, through video lectures, demos, applications, and practice exams
- Learn and master Azure Machine Learning, a service by Microsoft that enables anyone to build, deploy, and manage Data Science and Machine Learning solutions
- Create a predictive service based on a model that you create, with a full end-to-end walkthrough
- Design and prepare a machine learning solution
- Explore data and train models
- Prepare a model for deployment
- Deploy and retrain a model
Do you want to quickly build, deploy, and scale Data Science and Machine Learning solutions, without knowing any in-depth code, worrying about containers / endpoints, or coding data pipelines?
Do you want to learn and master Azure Machine Learning, an enterprise-grade service by Microsoft that gives you tools for the end-to-end machine learning lifecycle?
Do you want to build, deploy, and manage high quality models faster and with confidence?
Do you want to be certified from Microsoft, so that you can put it on your Resume/CV and showcase to potential employers that you know how to deploy Data Science solutions using Azure Machine Learning?
Do you want to pass the Microsoft DP 100 on the first try, and want one single complete resource that has everything you need for the DP-100 certification?
Then this is the course for you. Learn from over 15 hours of instructional content with video lectures, demos, real-life applications, and practice exams, with the only complete guide to everything you need to know to pass the DP-100 exam and receive your certification.
This course gives you all the training you need to pass - with detailed lectures, demos, and practice questions for each of the 62 learning objectives within the DP100 curriculum. This course gives you the structure you need to succeed - we go through each learning objective in sequential order, so that you are never lost.
This course is also for those students who want to learn Azure Machine Learning, and its underlying services. Along with the training required to pass the DP 100 certification, students master this tool.
DP-100 Designing and Implementing a Data Science Solution on Azure and Azure Data Scientist Associate certification is also called DP-100, DP100, and DP 100 certifications, and so these are used interchangeably.
What is the DP-100?
The DP-100 is a certification exam offered by Microsoft, that enables you to receive the Azure Data Scientist Associate certification. The exam covers how to design, build, and deploy a Machine Learning solution using Azure Machine Learning. The certification enables you to proves to employers and clients that you can build and operationalize Machine Learning and Data Science solutions and understand the core capabilities of the Azure Machine Learning. The exam format varies, but is most often 40-60 questions within about 2 hours. DP-100 is also referred to as DP 100 or DP100.
What is this course all about?
The purpose of this course is to prepare you for the DP 100 Designing and Implementing a Data Science Solution on Azure exam, so that you can pass it on the first try. It offers you dedicated video lectures, walk through demos, real-life applications, and practice exams to maximize your chances of success. This course covers 100% of the 62 learning objectives in Microsoft's curriculum, and trains you to receive the certification on the first try.
What does the DP-100 cover?
The DP-100 covers how to use Azure Machine Learning to design and implement a Data Science and Machine Learning solution. Specifically, it covers how to design and prepare a Machine Learning solution, how to explore data and train models, how to prepare a model for deployment, and how to deploy and retrain a model. The curriculum covers everything about Azure Machine Learning Studio, in both the designer (no-code) workflow, the Automated ML workflow, and the coding (Python SDK, Notebooks) workflow.
What are the prerequisites of taking the DP-100?
Candidates should have subject matter expertise in applying data science and ML to implement and run ML workloads.
What is Azure Machine Learning?
Azure Machine Learning (or Azure ML for short) is a service from Microsoft to create, validate, and deploy Machine Learning and Data Science solutions. It covers everything you would need, from data preparation, to model training and validation, to endpoint model management, and monitoring / model management. It makes it easier for anyone to deploy Data Science and Machine Learning solutions, especially if you are not familiar with Data Science algorithms, container management, compute monitoring, etc. - it does that all for you. Azure Machine Learning lets Data Scientists focus on what matters most, and automates the rest. It gives the power of Data Science and Machine Learning to anyone.
Why is Azure Machine Learning so important?
Azure Machine Learning is Microsoft’s way to democratize Machine Learning and Data Science to the everyday user.
Why should you get the DP-100 certification?
The DP-100 certification from Microsoft is a recognized way to prove that you understand and can use Azure Machine Learning to build business critical machine learning models at scale. You can use the knowledge you learn in the DP-100 course to create impact in your organization, but deploying predictive services and endpoints. You can add it to your resume to significantly boost your chances of employment. Most employers even cover the cost of the training and exam because of the value that this certification provides. In certain countries, you can even receive ACE college credits.
Why choose this course?
Complete guide - this is the 100% complete, start to finish zero to hero training guide to passing the DP 100 exam. It includes lectures, demos, study guides, practice exams, and more. It is the only resource that you will ever need to ace the exam. It contains over 15 hours of instructional content!
Full coverage - we go through Microsoft's curriculum one-by-one and cover all aspects of each of the 62 different learning objectives. This means no surprises on the exam, and it ensures that you are best prepared to pass the DP-100 exam on the first try.
Structured to succeed - the course mirrors Microsoft's DP 100 curriculum exactly. Each of the 62 learning objectives has a combination of a PDF study guide, full video lectures, full video walk through demos, and application.
Instructional and applicable - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a DP-100 course that actually builds applications with you
Practice exams - this course contains practice exams with questions that exactly mirror the types of questions found on the DP-100 exam. Use them to validate your knowledge and find weaker areas where you need to review.
Step by step - each learning objective within Microsoft's DP 100 curriculum is covered in order, step by step. This ensures that you never get lost in the course.
Teacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out video
Community - when you enroll in this course, you join a DP100 community full of learners just like you
Master a new tool - Learn Azure Machine Learning, from basic no-code designer tools to fully customized code deployments using Python SDK
Course overview theory
The course follows exactly according to DP100 curriculum, based on 62 learning objectives (LO) that Microsoft has defined. Everything in this course is made to maximize your chances of passing the exam. For each learning objective, the course offers a combination of guided lecture videos, walk-through demos, and application. We then end with practice exams.
Course overview
Introduction - learn about the DP 100 exam and how best to succeed
Environment Setup - set up an Azure account so you can follow along, and review the curriculum
LO1: Design and prepare a machine learning solution (20–25%)
LO2: Explore data and train models (35–40%)
LO3: Prepare a model for deployment (20–25%)
LO4: Deploy and retrain a model (10–15%)
Practice Exams - practice what you have learned to validate your knowledge
Conclusion - take your exam, earn your certification, and next steps
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