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Advanced Machine Learning with Databricks

This course is aimed at data scientists and machine learning practitioners and consists of two, four-hours modules. Prerequisites The content was developed for participants with these...

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$1,000 USD
Duration 1 day
Course Code AMLWD
Available Formats Classroom, Virtual

Overview

This course is aimed at data scientists and machine learning practitioners and consists of two, four-hours modules.

Prerequisites

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.

Course Details

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.

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 Databricks

  • Review 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 - DABs

  • Build ML assets as Code
  • Course Summary and Next Steps
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Schedule

4 options available

  • May 22, 2025 - May 23, 2025 (2 days)
    Virtual | 8:00 AM 12:00 PM EDT
    Language English
    Select from 1 options below
    Virtual |8:00 AM 12:00 PM EDT
    Virtual | 8:00 AM 12:00 PM EDT
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  • Jun 6, 2025 - Jun 6, 2025 (1 day)
    Virtual | 9:00 AM 5:00 PM PDT
    Language English
    Select from 1 options below
    Virtual |9:00 AM 5:00 PM PDT
    Virtual | 9:00 AM 5:00 PM PDT
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  • Jul 11, 2025 - Jul 11, 2025 (1 day)
    Virtual | 9:00 AM 5:00 PM PDT
    Language English
    Select from 1 options below
    Virtual |9:00 AM 5:00 PM PDT
    Virtual | 9:00 AM 5:00 PM PDT
    Enroll
    Enroll Add to quote
  • Jul 30, 2025 - Jul 31, 2025 (2 days)
    Virtual | 2:00 PM 6:00 PM EDT
    Language English
    Select from 1 options below
    Virtual |2:00 PM 6:00 PM EDT
    Virtual | 2:00 PM 6:00 PM EDT
    Enroll
    Enroll Add to quote

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Easy to work with. Learning material pdfs were able to be printed out in color which was very nice to write on.

Topics, material and specially instructor (Graham Godfrey) was beyond my expectations.

Simply great training provider that I can go for updating/acquiring my skill sets.

The instructor was thorough and they also provided hands-on demonstrations with labs.

I found this course informative. It was easy to follow and provided some good information.