Advanced Machine Learning with Databricks
This course is aimed at data scientists and machine learning practitioners and consists of two, four-hours modules.
Machine Learning at Scale
In this course, you will gain theoretical and practical knowledge of Apache Spark’s architecture and its application to machine learning workloads within Databricks. You will learn when to use Spark for data preparation, model training, and deployment, while also gaining hands-on experience with Spark ML and pandas APIs on Spark. This course will introduce you to advanced concepts like hyperparameter tuning and scaling Optuna with Spark. This course will use features and concepts introduced in the associate course such as MLflow and Unity Catalog for comprehensive model packaging and governance.
Advanced Machine Learning Operations
In this course, you will be provided with a comprehensive understanding of the machine learning lifecycle and MLOps, emphasizing best practices for data and model management, testing, and scalable architectures. It covers key MLOps components, including CI/CD, pipeline management, and environment separation, while showcasing Databricks’ tools for automation and infrastructure management, such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving. You will learn about monitoring, custom metrics, drift detection, model rollout strategies, A/B testing, and the principles of reliable MLOps systems, providing a holistic view of implementing and managing ML projects in Databricks.
The content was developed for participants with these skills/knowledge/abilities:
Basic understanding of DS/ML concepts (e.g. classification and regression models), common model metrics (e.g. F1-score), and Python libraries (e.g. scikit-learn and XGBoost).
The user should have intermediate-level knowledge of traditional machine learning concepts, development, and the use of Python and Git for ML projects.
It is recommended that the user has intermediate-level experience with Python.
Outline
Machine Learning at Scale
Machine Learning Development with Spark
A Brief Overview of Spark Architecture for Machine Learning
Introduction to Spark ML for Model Development
Model Tracking and Packaging with MLflow and Unity Catalog on Databricks
Model Development with Spark
Model Tuning with Optuna on Spark
Overview of Hyperparameter Tuning
Introduction to Optuna on Spark
Model Tuning with Optuna
Advanced Machine Learning Operations
Overview of Machine Learning Operations on DatabricksReview of MLOps
Streamlining Development to Deployment
Continuous Workflows for Machine Learning Operations
Streamlining MLOps
Streamlining MLOps with Databricks
Testing Strategies with Databricks
Automate Comprehensive Testing
Model Rollout Strategies with Databricks
Model Quality and Lakehouse Monitoring
Introduction to Monitoring
Lakehouse Monitoring
Streamlining Multiple Environment Deployments - DABsBuild ML assets as CodeCourse Summary and Next Steps
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
May 27 | 09 AM - 05 PM (Europe/Paris) | - | English | $1000.00 |
Jun 16 | 09 AM - 05 PM (Europe/Paris) | - | English | $1000.00 |
Jun 23 | 08 AM - 04 PM (Asia/Kolkata) | - | English | $1000.00 |
Jul 22 | 09 AM - 05 PM (America/New_York) | - | English | $1000.00 |
Jul 28 | 09 AM - 05 PM (Europe/Paris) | - | English | $1000.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
Registration options
Databricks has a delivery method for wherever you are on your learning journey
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Register now
Instructor-Led
Public and private courses taught by expert instructors across half-day to two-day courses
Register now
Blended Learning
Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase
Purchase now
Skills@Scale
Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
