Azure Data Scientist Associate (DP-100)

In today’s data-driven landscape, the ability to leverage advanced analytics and machine learning is crucial for driving business innovation. The Microsoft Certified: Azure Data Scientist Associate (DP-100) course equips you with the skills to design and implement machine learning solutions using Microsoft Azure, a leading cloud platform adopted by enterprises globally. At Big Data Labs in Randburg, Gauteng, we provide hands-on training to empower South African professionals to excel in data science. This course prepares you for the DP-100 exam, earning you a globally recognized certification that validates your expertise in Azure-based data science solutions.

Target Audience and Prerequisites

This course is designed for professionals aiming to advance their data science careers, including:

• Data Scientists: Professionals seeking to implement machine learning on Azure.
• Data Engineers: Engineers transitioning to data science roles with Azure tools.
• AI Developers: Developers building predictive models on Azure platforms.
• Career Changers: Individuals entering data science with Azure expertise.

This course is tailored for professionals with foundational data science knowledge, with the following recommended skills:

• Data Science Fundamentals: Understanding of statistics, machine learning, and data wrangling.
• Programming Skills: Proficiency in Python or R for data analysis.
• Azure Basics: Familiarity with Azure services (e.g., Azure Fundamentals AZ-900 or Data Fundamentals DP-900) is helpful but not mandatory.

Job Opportunities

The DP-100 certification validates your ability to design and deploy machine learning solutions on Azure, positioning you as a leader in South Africa’s data science industry. With hands-on skills in Azure Machine Learning, you’ll drive innovation and business value across diverse sectors. This course is essential for organizations in South Africa aiming to leverage advanced data science solutions, including:

• Enterprises: Developing predictive analytics for business growth.
• Consulting Firms: Delivering AI-driven insights for clients.
• Financial Services: Enhancing fraud detection and risk modeling.
• Retail & E-commerce: Optimizing customer personalization and demand forecasting.
• Healthcare: Improving patient outcomes with predictive analytics.

Benefits of Certification

Upon completion of this course, you will be able to plan and implement machine learning workflows on Azure, from data preparation and model training to deployment and optimization. This certification is a valuable asset for career advancement, proving your skills in a high-demand field and making you a key player in South Africa's growing data-driven economy. The certification also highlights your ability to implement ethical AI practices and ensure compliance, an increasingly important aspect of modern data science.

Module 1: Set Up an Azure Machine Learning Workspace (10–15%)

• Create and configure Azure Machine Learning workspaces.
• Manage compute resources and environments.
• Implement security and access controls.
• Lab: Set up an Azure ML workspace.

Module 2: Run Experiments and Train Models (30–35%)

• Design experiments using Azure ML Designer and SDK.
• Train models with Python, Scikit-learn, or TensorFlow.
• Apply AutoML and hyperparameter tuning.
• Lab: Train a model with Azure ML.

Module 3: Optimize and Manage Models (20–25%)

• Evaluate model performance with metrics and diagnostics.
• Implement model monitoring and retraining.
• Use MLflow for model tracking.
• Lab: Optimize a model with hyperparameter tuning.

Module 4: Deploy and Consume Models (25–30%)

• Deploy models to Azure endpoints (real-time and batch).
• Build and manage ML pipelines with Azure Data Factory.
• Ensure responsible AI with fairness and interpretability tools.
• Lab: Deploy a model to an Azure endpoint.

Course Features

This comprehensive training includes:

• Duration: 4–6 days instructor-led or 6–8 weeks self-paced.
• Format: Lectures, hands-on labs, and practice exams.
• Certification Exam: DP-100 (120 minutes, 40–60 questions, USD 165).
• Certification Validity: 1 year, renewable via free assessment.
• Delivery: Classroom, online, or hybrid formats.