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Machine Learning for Operations

Machine Learning and AI represent a great opportunity. All too often, taking a Machine Learning prototype to production makes a difference between success and failure in the AI strategy of a company....

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Duration 3 days
Course Code INNO-MLforOps
Available Formats Classroom

Overview

Machine Learning and AI represent a great opportunity. All too often, taking a Machine Learning prototype to production makes a difference between success and failure in the AI strategy of a company. This need is fulfilled by Machine Learning Engineers who apply the rules of DevOps to AI.

Skills Gained

Solutions

  • This course teaches how to take Machine Learning and AI and reduce it to practice. Thus, the name: ML Ops.

Who Can Benefit

The audience for this class is Engineers, Developers, DevOps, Architects and any other IT personnel interested in learning practical usage of Machine Learning and Artificial Intelligence.

Prerequisites

  • Comfortable developing code

Course Details

Outline

Rise of the Machine Learning Engineer and MLOps

  • What is MLOps
  • DevOps and MLOps
  • A MLOps Hierarchy of Needs
  • Implementing DevOps
  • DataOps and Data Engineering
  • Platform Automation
  • MLOps
  • Where Can You Deploy?
  • Conclusion

MLOps Foundations

  • Bash and the Linux Command Line
  • Cloud Shell Development Environments
  • Bash Shell and Commands
  • List Files
  • Run Commands
  • Files and Navigation
  • Input/Output
  • Configuration
  • Writing a Script
  • Cloud Computing Foundations & Building Blocks
  • Machine Learning Key Concepts
  • Build an MLOps Pipeline from Zero

MLOps for Containers and Edge Devices

  • Containers
  • Serving a trained model over HTTP
  • Edge Devices
  • Coral
  • Azure Percept
  • TFHub

Continuous Delivery for Machine Learning Models

  • Packaging for ML Models
  • Infrastructure as Code for Continuous Delivery of ML Models
  • Using Cloud Pipelines
  • Controlled Rollout of models
  • Testing techniques for Model Deployment

Monitoring and Logging

  • Introduction to Logging
  • Logging in Python
  • Modifying log levels
  • Logging different applications
  • Monitoring Drift with AWS SageMaker
  • Monitoring Drift with Azure ML

MLOps for Azure

  • Azure CLI and Python SDK
  • Authentication
  • Service Principal
  • Authenticating API Services
  • Compute Instances
  • Deploying
  • Registering Models
  • Versioning datasets
  • Deploying Models to a Compute Cluster
  • Configuring a Cluster
  • Deploying a Model
  • Azure ML Pipelines

Machine Learning Interoperability

  • Why interoperability is critical
  • ONNX: Open Neural Network Exchange
  • Convert PyTorch into ONNX
  • Convert TensorFlow into ONNX
  • Apple Core ML

Schedule

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

Great class I learned a great deal from the material. There would seem to a large amount that I need to learn about.

I liked the pace of the course. I like that I have more than instance to use the lab.

Sean is the very good instructor. I would like to take his class again in the future.

Overall it was a good bootcamp. A lot to cover so it is understandable that the pace had to be a little fast.

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