MCA Azure Data Scientist Associate Training & Certification Boot Camp – 4 Days (1 Course, 1 Exam, 1 Cert)
Training Schedule and Pricing
Our training model blends knowledge and certification prep into one solution. You can interact face-to-face with vendor-certified trainers at our training facilities or attend the same instructor-led live camp online.
-
Feb242025Delivery Format:REMOTE CLASSROOM LIVEDate:02.24.2025 - 02.27.2025Location:ONLINE ONLYPrice Includes:Instructor Led Class, Official Courseware, Labs and Exams$2,4954 days
-
Mar312025Delivery Format:REMOTE CLASSROOM LIVEDate:03.31.2025 - 04.03.2025Location:ONLINE ONLYPrice Includes:Instructor Led Class, Official Courseware, Labs and Exams$2,4954 days
-
Apr072025Delivery Format:REMOTE CLASSROOM LIVEDate:04.07.2025 - 04.10.2025Location:ONLINE ONLYPrice Includes:Instructor Led Class, Official Courseware, Labs and Exams$2,4954 days
Exams Included & Administered During Camp:
DP-100: Designing and Implementing a Data Science Solution on Azure
What's Included
1 Microsoft Test Voucher
1 Microsoft Official Course
1 Retake Voucher (per exam, if needed)
Microsoft Study Labs & Simulations
Onsite Pearson Vue Test Center
Instructor Led Classroom Training
The Microsoft Certified Associate - Microsoft Azure Data Scientist Associate 4 day boot camp focuses on actual job task using Azure Machine Learning Service. Students learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.
The Microsoft Certified Azure Data Scientist Associate boot camp is taught using Microsoft Official Courseware
DP-100: Designing and Implementing a Data Science Solution on Azure
While attending this 4 day camp - students will take one exam (DP-100) to achieve the Microsoft Certified Azure Data Scientist Associate certification. This hands on, instructor led live camp focuses on the real world responsibilities of an Azure Data Scientist.
Skills Gained:
Design a data ingestion strategy for machine learning projects
Design a machine learning model training solution
Design a model deployment solution
Explore Azure Machine Learning workspace resources and assets
Explore devceloper tools for workspace interaction
Make data available in Azure Machine Learning
Work with environments in Azure Machine Learning
Find the best classification model with Automated Machine Learning
Track model training Jupyter notebooks with MLflow
Run a training script as a command job in Azure Machine learning
Track model training with MLflow in jobs
Run piplines in Azure Machine learning
Perform hyperparameter tuning with Azure Machine Learning
Deploy a model to a managed onlin endpoint
Deploy a model to a batch endpoint
Topics Covered in this Official Boot Camp
Design a data ingestion strategy for machine learning projects
- Identify your data source and format
- Choose how to serve data to machine learning workflows
- Design a data ingestion sulution
Design a machine learning model training solution
- Identify machine learning tasks
- Choose a service to train a machine learning model
- Decide between compute options
Design a model deployment solution
- Understand how model will be consumed
- Decide on real-time or batch deployment
Explore Azure Machine Learning workspace resources and assets
- Create an Azure Machine Learning workspace
- Identify Azure Machine Learning resources
- Identify Azure Machine Learning assets
- Train models in the workspace
Explore developer tools for workspace interaction
- Explore the studio
- Explore the Python SDK
- Explore the CLI
Make data available in Azure Machine Learning
- Understand URIs
- Create a datastore
- Create a data asset
Work with compute targets in Azure Machine Learning
- Create and use a compute instance
- Create and use a compute instance
- Create and use a compute cluster
Work with environments in Azure Machine Learning
- Understand environments
- Explore and use curated environments
- Create and use custom environments
Find the best classification model with Automated Machine Learning
- Preprocess data and configure featurization
- Run an Automated Machine Learning experiment
- Evaluate and compare models
Track model training in Jupyter notebooks with MLflow
- Configure MLflow for model tracking in notebooks
- Train and track models in notebooks
Run a training script as a command job in Azure Machine Learning
- Convert a notebook to a script
- Run a script as a command job
- Use parameters in a command job
Track model training with MLflow in jobs
- Track metrics with MLflow
- View metrics and evaluate models
Run pipelines in Azure Machine Learning
- Create components
- Create a pipeline
- Run a pipeline job
Perform hyperparameter tuning with Azure Machine Learning
- Define a search space
- Configure a sampling method
- Configure early termination
- Use a sweep job for hyperparameter tuning
Deploy a model to a managed online endpoint
- Explore managed online endpoints
- Deploy your MLflow model to a managed online endpoint
- Deploy a model to a managed online endpoint
- Test managed online endpoints
Deploy a model to a batch endpoint
- Understand and create batch endpoints
- Deploy your MLflow model to a batch endpoint
- Deploy a custom model to a batch endpoint
- Invoke and troubleshoot batch endpoints
Certification Camps has developed a comprehensive training / delivery format focused on learning beyond the generic book content (accessible to any Microsoft training provider). Our program incorporates interactive demonstrations and detailed real world explanations. When possible - additional content, videos, labs & demonstrations are provided to expand on advanced topics - providing additional insight and perspective. Certification Camps training is not the typical book & PowerPoint presentation found at any local training center.
As a Microsoft Certified Partner with Gold Learning Competency - we adhere to the strict guidelines, standards and requirements to use Microsoft's exclusive curriculum. More over - our standards go beyond the "minimum requirements" set forth by Microsoft Learning.
We leverage our partnership benefits of courseware customization to build end to end technology training solutions. Students gain practical skills which can be implemented immediately.
At most training centers - learning starts on the first day of class and ends on the last day. Our boot camp training program is designed to offer resources before, during and after the training.
CERTIFICATION CAMPS FACILITIES
CAMPUS - Certification Camps built out a stand alone training center (not a hotel conference room) with spacious classrooms, new desk, Herman Miller Aeron chairs & comfortable common areas. Each student has a dedicated desk with two monitors. Each classroom has a maximum of two rows - so everyone is able to be engaged without the "back row" feeling. 
CLASSROOM EQUIPMENT - Students work on a dedicated Dell Client Desktop with 32GB memory with 512GB SSD drives - All Labs are executed the extremely fast Microsoft Data Center Hosted Lab Environment .
CAMPUS INTERNET - The campus is connected with a 1Gbps (1,000 Mbps) Verizon Fios Business Connection which provides complete internet (including VPN) access for students.
COMMON AREA - Amenties including snacks, drinks (Coffee, 100% juices, sodas, etc) all complimentary.
LODGING - We use the Hyatt Place Lakewood Ranch. This "upgraded" hotel offers extremely comfortable beds, great breakfast and very fast internet access.
NEAR BY - Many shops, restaurants and grocery options are available within walking distance. Additionally - the hotel provided scheduled shuttle services. Restaurants like Cheesecake Factory, California Pizza Kitchen, Panera Bread, Bone Fish Grill, Ruby Tuesday's, Five Guys, Chipotle, Chili's and over 20 additional choices in the immediate area.
