Master Azure Machine Learning: DP-100 Exam Prep (April 2025)

Unlock your data science potential with our comprehensive DP-100 course!

This intensive program prepares you for the Designing and Implementing a Data Science Solution (DP-100) certification exam in April 2025. Go beyond theory and dive into practical, hands-on exercises that cover the entire exam blueprint. You'll learn to design, implement, and optimize machine learning solutions on the Azure cloud platform.

Key areas covered include:

• Designing robust machine learning solutions: Master the art of defining data structures, selecting optimal compute resources, and choosing the right development approach. Learn to create and manage Azure Machine Learning workspaces, datastores, and compute targets, integrating Git for efficient version control. Build expertise in managing data assets, environments, and leveraging registries for efficient asset sharing.
• Exploring data and running experiments: Uncover powerful data exploration techniques, utilizing automated machine learning (AutoML) for tabular data, computer vision, and natural language processing tasks. Gain practical experience with notebooks, leveraging Synapse Spark for data wrangling and MLflow for comprehensive model tracking and evaluation. Optimize your model's performance using hyperparameter tuning, learning various sampling methods, defining search spaces, and employing effective early termination strategies.
• Training and deploying advanced models: Master running model training scripts, optimizing for compute and environment efficiency. Design and implement robust training pipelines using custom components, manage models effectively by defining signatures and registering them with MLflow. Deploy models to online and batch endpoints, troubleshooting and testing for seamless operation.
• Optimizing language models for AI applications: Explore the latest techniques in language model optimization, including prompt engineering, prompt flow, Retrieval Augmented Generation (RAG), and fine-tuning. Learn to prepare data for RAG, configure vector stores, and refine models for superior performance. Understand model evaluation through benchmarks and testing in the playground, building highly efficient and effective language solutions.

This course includes multiple practice exams to solidify your understanding and boost your confidence before the exam.

Enroll now and transform your data science career!