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Get to Know Your Mentors
Learn from highly skilled Trainers who have real-world, hands-on work experience
Curriculum
Ali Masri
Lead Data Engineer at Ford Motor Company
Overview
Start Your Learning Journey Today
This program is for you, if?
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
Program Fee:
USD 1100
Data Scientist at Intact
Hassan Saidinejad
Sam Rahbar
Senior AI Scientist at Global Relay
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:
- Azure Machine Learning workspace resources and assets
- Developer tools for workspace interaction
- Hands on quiz and case study
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:
- Explore data by using data assets and data stores.
- Create models by using the Azure Machine Learning designer
- Hands on quiz and case study
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:
- Find the best models with Automated Machine Learning
- Track model training in notebooks with MLflow
- Hands on quiz and case study
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:
- Training jobs in Azure Machine Learning
- Hyperparameter tuning with Azure Machine Learning
- Hands on quiz and case study
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:
- Pipelines in Azure Machine Learning
- Compare and evaluate models
- Log and register models
- Hands on quiz and case study
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::
- Managed and batch deployment
- Hands on quiz, exam preparation materials and case study
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:
- Review of key concepts and skills for the DP100 certification exam
- Practice exam questions and discussion of strategies for success
- Practice project to prepare for certification
- Tips for preparing and taking the exam
Week-7&8: Project + Exam Preparation
DP-100 - Microsoft Azure Data Scientist Associate Certification Training Program
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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
DP-100 - Microsoft Azure Data Scientist Associate Certification
Curriculum
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:
- Azure Machine Learning workspace resources and assets
- Developer tools for workspace interaction
- Hands on quiz and case study
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:
- Find the best models with Automated Machine Learning
- Track model training in notebooks with MLflow
- Hands on quiz and case study
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:
- Explore data by using data assets and data stores.
- Create models by using the Azure Machine Learning designer
- Hands on quiz and case study
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:
- Training jobs in Azure Machine Learning
- Hyperparameter tuning with Azure Machine Learning
- Hands on quiz and case study
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:
- Pipelines in Azure Machine Learning
- Compare and evaluate models
- Log and register models
- Hands on quiz and case study
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::
- Managed and batch deployment
- Hands on quiz, exam preparation materials and case study
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:
- Review of key concepts and skills for the DP100 certification exam
- Practice exam questions and discussion of strategies for success
- Practice project to prepare for certification
- Tips for preparing and taking the exam
Week-7&8: Project + Exam Preparation
Why should you do the DP-100 Microsoft Azure Data Scientist Associate certification?
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.
Azure Machine Learning SDK
Azure Data Store, Azure Compute
Azure ML Designer
Automated ML
Azure ML Studio
Azure Functions
Azure Blob Storage
Azure Data Lake
Azure Kubernetes Service
Apache Spark
- Azure DevOps
Key Microsoft Azure Services Taught
Meet Your Faculty
Dr. Abhinanda Sarkar
Faculty Director: Great Learning
Dr. Pavankumar Gurazada
Faculty: Great Learning
Connor Hagen
Azure OpenAI & AI Co-Innovation Labs, Lead Architect: Microsoft
By the end of this program you will be able to:
- Understand the core concepts and functionalities of Machine Learning for model building
- Acquire knowledge of data modeling, transformation, and data cleansing techniques
- Develop skills in data analysis, model building, evaluate, interpret and maintain models
- Prepare effectively for the DP-100: Microsoft Azure Data Scientist Associate certification exam
Great Learning - Certificate Accelerator Program
Program Partner
Program Partner
Overview
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.
Azure Machine Learning SDK
Azure Data Store, Azure Compute
Azure ML Designer
Automated ML
Azure ML Studio
Azure Functions
Azure Blob Storage
Azure Data Lake
Azure Kubernetes Service
Apache Spark
- Azure DevOps
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
Meet Your Faculty
Dr. Abhinanda Sarkar
Faculty Director: Great Learning
Connor Hagen
Azure OpenAI & AI Co-Innovation Labs, Lead Architect: Microsoft
Dr. Pavankumar Gurazada
Faculty: Great Learning
Get to Know Your Mentors
Learn from highly skilled Trainers who have real-world, hands-on work experience
Ali Masri
Lead Data Engineer at Ford Motor Company
Senior AI Scientist at Global Relay
Sam Rahbar
Data Scientist at Intact
Hassan Saidinejad
By the end of this program you will be able to:
- Understand the core concepts and functionalities of Machine Learning for model building
- Acquire knowledge of data modeling, transformation, and data cleansing techniques
- Develop skills in data analysis, model building, evaluate, interpret and maintain models
- Prepare effectively for the DP-100: Microsoft Azure Data Scientist Associate certification exam
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