Cloud-based data science is becoming one of the most valuable skill areas for professionals who want to work with machine learning, data preparation, model training, model deployment, responsible AI, and scalable analytics.
The Microsoft Azure Data Scientist Associate DP-100 Exam Prep Guide is designed for learners who want to prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure exam and build practical skills in managing machine learning solutions in a cloud environment.
You can start learning free by opening one of the individual courses and checking whether preview lessons are available before choosing complete enrollment.
What Will You Learn?
This professional certificate helps learners build practical skills in:
- Azure resources for machine learning
- Machine learning workspaces
- Data ingestion and preparation
- Data pipelines
- Data preprocessing
- Data transformation
- Data analysis
- Model training
- Model evaluation
- Model deployment
- Predictive modeling
- Regression models
- Classification models
- Clustering models
- Automated machine learning
- Responsible AI
- Model monitoring
- MLOps workflows
- Azure Databricks
- Apache Spark
- DataFrames
- Delta Lake
- Deep learning
- Transfer learning
- Cloud-scale machine learning solutions
These skills can help learners understand how data science projects are designed, trained, deployed, monitored, and improved using cloud-based tools.
Courses Included in the Program
1. Create Machine Learning Models in Microsoft Azure
Start with the foundations of creating machine learning models in Azure.
This course introduces data science workloads, machine learning environments, model training, predictive modeling, image analysis, classification algorithms, regression analysis, Scikit-Learn, PyTorch, TensorFlow-related concepts, and practical data science workflows.
2. Microsoft Azure Machine Learning for Data Scientists
Learn how to use Azure Machine Learning to create and publish machine learning models.
This course covers regression, classification, clustering, automated machine learning, machine learning designer, model evaluation, supervised learning, unsupervised learning, and model training workflows.
3. Build and Operate Machine Learning Solutions
Develop stronger skills in operationalizing machine learning.
This course focuses on model optimization, data pipelines, data stores, responsible AI, cloud management, MLOps, privacy, data security, model deployment, model monitoring, and production-ready machine learning workflows.
4. Perform Data Science with Azure Databricks
Explore large-scale data science using Azure Databricks.
This course covers Apache Spark, PySpark, distributed computing, DataFrames, Delta Lake, big data processing, data manipulation, data transformation, model training, model evaluation, deep learning, MLOps, and scalable data science workloads.
5. Prepare for DP-100: Data Science on Microsoft Azure Exam
The final course focuses on DP-100 exam preparation.
It reviews key exam topics, best practices for preparing for the certification exam, and the skills measured in the DP-100 exam, including data preparation, model training, model deployment, model monitoring, responsible AI, MLOps, and applied machine learning.
Practical Skills You Can Build
During this learning path, learners can practise:
- Creating data science environments
- Managing machine learning resources
- Running experiments
- Training predictive models
- Creating classification and regression models
- Working with automated machine learning
- Preparing and transforming data
- Using notebooks and data pipelines
- Building models with Azure Databricks
- Processing large datasets with Apache Spark
- Deploying machine learning models
- Monitoring deployed models
- Applying responsible AI principles
- Preparing for DP-100 exam objectives
These activities can help learners move from theory to practical cloud-based machine learning workflows.
Who Should Take This Course?
This professional certificate is suitable for:
- Data scientists
- Machine learning learners
- AI learners
- Data analysts moving into machine learning
- Cloud learners
- Python users
- Azure beginners with technical background
- Professionals preparing for DP-100
- Developers working with machine learning models
- Learners interested in MLOps and model deployment
Some experience with Python and basic machine learning concepts is recommended because this is an intermediate-level learning path.
Why DP-100 Skills Matter
The DP-100 certification focuses on designing and implementing data science solutions in Azure.
This skill set is valuable because modern data science teams need more than model-building knowledge. They also need to manage cloud resources, prepare data, train models, deploy solutions, monitor performance, and apply responsible AI practices.
Learning these skills can help professionals understand how machine learning projects move from notebooks and experiments into real production environments.
How to Start Learning Free
Follow these steps to check for available preview lessons:
- Open the course guide link below.
- Scroll down and select one of the individual courses inside the program.
- Open the course you selected.
- Click Enroll.
- After signing in, choose Preview instead of Start Free Trial.
- You can now watch the available preview videos and start learning for free.
Preview availability may vary. Complete lessons, hands-on labs, assessments, certificates, cloud exercises, and full program access may require paid enrollment.
Some cloud practice activities may use a sandbox environment that provides temporary access to cloud resources for learning purposes. Availability and access rules may vary.
Build Practical Azure Data Science Skills
Azure data science skills combine cloud computing, machine learning, data engineering, responsible AI, model deployment, and MLOps.
This professional certificate gives learners a structured path to prepare for DP-100 while building practical knowledge in machine learning environments, data preparation, experiments, model training, Azure Databricks, deployment, monitoring, and cloud-scale data science solutions.
Start Learning Azure Data Scientist DP-100 Exam Prep
Explore Azure machine learning, data pipelines, model training, model deployment, Azure Databricks, Apache Spark, MLOps, responsible AI, and DP-100 exam preparation.
Start Learning FreePreview availability and included learning materials may vary.
