Demonstrate and validate your knowledge by obtaining a certificate of completion. This valuable credential can be showcased in the certifications section of your LinkedIn profile, on printed resumes, CVs, or any other relevant documents.
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Learn from highly skilled Trainers who have real-world, hands-on work experience
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you want to add a professional certification to your profile in the data domain to open up new career opportunities in the intersection of data science and cloud technologies
you are a data scientist and want to build a wide technical knowledge of how to use Micosoft Azure Cloud Services for building data science solutions
you are a business owner or a leader who works on azure and want to learn all the possibilities of using Micorsfot Azure Cloud Services for building a data-driven ecosystem for your organization
Week-1: Explore the Machine Learning Workspace
The outcome of this week is to learn Microsoft Azure Machine Learning workspace resources, assets and developer tools for workspace interaction. Below are the topics covered in this week:
Week-2: Work with data in Microsoft Azure Machine Learning
The outcome of this week is to learn working with compute resources, and environments in Azure Machine Learning and train a model with the Azure Machine Learning Designer. Below are the topics covered in this week:
Week-3: Automate machine learning model selection with Microsoft Azure Machine Learning
The outcome of this week is to learn how to figure out the best models with Automated Machine Learning. Below are the topics covered in this week:
Week-4: Train models with scripts in Microsoft Azure Machine Learning
The outcome of this week is to learn how to run a training script, track model training, and perform hyperparameter tuning with Azure Machine Learning. Below are the topics covered in this week:
Week-5: Optimize model training with pipelines in Microsoft Azure Machine Learning
The outcome of this week is to learn running pipelines in Azure Machine Learning along with Comparing and evaluating models. Below are the topics covered in this week:
The outcome of this week is to learn deploying a model to a managed and batch endpoints. Below are the topics covered in this week::
Week-6: Deploy and consume models with Microsoft Azure Machine Learning
The outcome of this week is to review key concepts and skills, and prepare for the DP100 certification exam, through practice questions and Mock exams. Below are the topics covered in this week:
Week-7&8: Project + Exam Preparation
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Mentored Learning with MCT (Microsoft Certified Trainer)
Microsoft Azure Data Scientist Associate: DP-100 Certification Voucher
Learning and Academic Support by dedicated pool of experts
Hands-on Microsoft Azure Labs
Exam preparation guide + Mock Exams
Dedicated Program Manager for your learning journey
This curriculum is optimally designed with the outcome to prepare you for the Designing and Implementing a Data Science Solution on Microsoft Azure DP100 certification exam
Week-1: Explore the Machine Learning Workspace
The outcome of this week is to learn Microsoft Azure Machine Learning workspace resources, assets and developer tools for workspace interaction. Below are the topics covered in this week:
Week-3: Automate machine learning model selection with Microsoft Azure Machine Learning
The outcome of this week is to learn how to figure out the best models with Automated Machine Learning. Below are the topics covered in this week:
Week-2: Work with data in Microsoft Azure Machine Learning
The outcome of this week is to learn working with compute resources, and environments in Azure Machine Learning and train a model with the Azure Machine Learning Designer. Below are the topics covered in this week:
Week-4: Train models with scripts in Microsoft Azure Machine Learning
The outcome of this week is to learn how to run a training script, track model training, and perform hyperparameter tuning with Azure Machine Learning. Below are the topics covered in this week:
Week-5: Optimize model training with pipelines in Microsoft Azure Machine Learning
The outcome of this week is to learn running pipelines in Azure Machine Learning along with Comparing and evaluating models. Below are the topics covered in this week:
The outcome of this week is to learn deploying a model to a managed and batch endpoints. Below are the topics covered in this week::
Week-6: Deploy and consume models with Microsoft Azure Machine Learning
The outcome of this week is to review key concepts and skills, and prepare for the DP100 certification exam, through practice questions and Mock exams. Below are the topics covered in this week:
Week-7&8: Project + Exam Preparation
The DP100 certification teaches advanced data science skills for creating solutions on Microsoft Azure. It covers data exploration, preparation, modeling, evaluation, and deployment using Azure Machine Learning tools.
The DP100 certification aligns you with Microsoft's cloud platform, Azure. By pursuing this certification, you showcase your proficiency in utilizing Azure for data science solutions. You gain access to a wealth of resources from Microsoft, including documentation, support, and community forums.
Great Learning’s Certificate Accelerator Program for DP100 is a specially designed course with the objective of helping you master Data Science and Machine Learning and get Microsoft Azure Certified. In this program, you will have the opportunity to get mentored by Microsoft Certified Trainers, through a structured curriculum that will provide you the necessary skills and techniques required to crack the certification. You will be provided with access to interactive learning material, practice labs, question papers from previous exams and learning support to prepare you for Azure DP-100 certification.
Finally, this program is built around the fundamental learning principle of ‘learning by doing’ and aims to build a meaningfully practical skill set with hands-on case studies, and prepare you for the Microsoft Azure DP-100 Certification.
Key Microsoft Azure Services Taught
Great Learning’s Certificate Accelerator Program for DP100 is a specially designed course with the objective of helping you master Data Science and Machine Learning and get Microsoft Azure Certified. In this program, you will have the opportunity to get mentored by Microsoft Certified Trainers, through a structured curriculum that will provide you the necessary skills and techniques required to crack the certification. You will be provided with access to interactive learning material, practice labs, question papers from previous exams and learning support to prepare you for Azure DP-100 certification.
Finally, this program is built around the fundamental learning principle of ‘learning by doing’ and aims to build a meaningfully practical skill set with hands-on case studies, and prepare you for the Microsoft Azure DP-100 Certification.
Key Microsoft Azure Services Taught
This curriculum is optimally designed with the outcome to prepare you for the Designing and Implementing a Data Science Solution on Microsoft Azure DP100 certification exam
Learn from highly skilled Trainers who have real-world, hands-on work experience
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