DP-3007 Train and deploy a machine learning model with Azure Machine Learning
Price
$495.00 USD
Duration
1 Day | Mon – Fri
2 Evenings | Sun – Thur
Delivery Methods
Virtual Instructor Led
Private Group
Excellence
At DSDT, we recognize that every professional arriving at our program possesses unique aspirations that demand nothing less than excellent training. Our CAREER SKILLS+™ program is designed to not only meet but exceed your educational expectations, ensuring a robust path to career advancement.
Empowerment
Gain practical empowerment with hands-on training in the latest industry best practices, guided by seasoned experts. Our courses are structured to integrate seamlessly into your existing professional schedule, providing flexible yet comprehensive learning experiences.
Certification
Upon the successful completion of your coursework and real-world projects, DSDT will award you with a professional certificate, affirming your new skills and preparing you for further professional achievements.
Support
We provide round-the-clock support to all our participants, ensuring that every question is answered and every opportunity for excellence is seized. Our team is dedicated to your success in the program and beyond, helping you achieve outstanding results in your certification exams.
DP-3007 Train and deploy a machine learning model with Azure Machine Learning
This specialized course within the DSDT’s Career Skills+ program focuses on the practical aspects of training and deploying machine learning models using Azure Machine Learning. Participants will learn to effectively manage data, configure compute resources, and utilize MLflow for tracking model metrics. Emphasis is placed on real-world applications, ensuring learners not only understand the theoretical aspects but also gain hands-on experience in deploying models for real-time predictions. The course concludes with a comprehensive exploration of setting up and managing a fully functional Azure Machine Learning workspace.
Course Objectives
Data Management: Learn to make data readily available within Azure Machine Learning, including the creation and management of datastores and data assets.
Compute Management: Acquire skills to select, create, and manage compute instances and clusters tailored to specific project needs.
Environment Handling: Explore and implement both curated and custom environments within Azure Machine Learning to optimize the training process.
Script Running: Transform notebooks into scripts and execute them as command jobs, utilizing parameters effectively for flexible operations.
Model Training and Deployment: Master the use of MLflow for tracking, registering, and deploying machine learning models to managed online endpoints for scalable, real-time applications.
Who Should Attend?
This course is designed for individuals aiming to enhance their careers in data science and machine learning. It is ideal for aspiring data scientists, machine learning engineers, and IT professionals who seek to deepen their expertise in deploying scalable machine learning models using cloud technologies. Participants looking to integrate practical machine learning skills with their career development will find this program particularly beneficial.
Course Prerequisites
There are no prerequisites for this course, making it accessible to beginners as well as those looking to formalize and expand their skills in machine learning with Azure.
Enterprise and individual training is available for this program.
Key Features
Intensive Bootcamp
Our 5 or 10 day bootcamp offers rigorous, instructor-led training that can be attended online via Microsoft Teams or in person in various cities. These sessions are designed to fit seamlessly into your professional life, ensuring you receive comprehensive preparation without compromising your daily responsibilities.
Certification Preparedness
Complete this 5 or 10 day intensive program in preparation to test for the DP-3007 Train and deploy a machine learning model with Azure Machine Learning certification. Each participant will also receive a completion certificate, affirming your enhanced skills and knowledgeable experience.
Interactive Classroom Engagement
Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Flexible Learning Options
This 5 or 10 day program is available both in-person and via live online formats, offering flexible scheduling options to accommodate your busy calendar. Whether it's during the weekday or the weekend, we make it easy for you to engage and learn.
Expert Instructors
DSDT prides itself on partnering with certified subject matter experts who not only bring over 10 years of real-world experience to the table but also create dynamic, interactive learning environments. Our instructors are dedicated to your success and professional growth.
Continued Learning Resources:
Upon completion of the course, students gain access to extensive post-class materials. This support system is designed to help learners review concepts, catch up on missed sessions, or refine their skills, ensuring continuous professional development and mastery of new competencies.
Exclusive Corporate Training
DSDT offers bespoke group training sessions tailored to the specific needs of your organization. Conducted by our top-tier instructors, these private courses are aimed at fostering collective advancement and skill enhancement within your team, leveraging our strong connections to local industries and cutting-edge digital technology practices.
Guaranteed Course Availability
All scheduled sessions of our program are guaranteed to run as planned, whether in a classroom, live virtual, or in-house setting. We ensure that you can rely on us for your educational needs without disruption.
Customized Training Solutions
Reflecting DSDT’s commitment to addressing specific industry demands, our subject matter experts develop customized training programs that focus on the particular objectives of your team. This approach not only enhances targeted skill development but also integrates practical, real-world applications essential for success in today’s digital landscape.
Agenda
Data Management in Azure Machine Learning
Understand URIs
Create and manage datastores and data assets
Working with Compute Targets
Selection and creation of compute targets
Utilization of compute instances and clusters
Environment Management
Overview of Azure Machine Learning environments
Exploration and application of curated and custom environments
Execution of Command Jobs
Conversion of notebooks to scripts
Running scripts with parameterization in command jobs
Model Training and Deployment with MLflow
Tracking and evaluating model metrics
Registration and deployment of models to managed online endpoints
Testing and managing online deployment scenarios
This structured agenda ensures that by the end of the course, participants will be proficient in utilizing Azure Machine Learning for practical, real-world machine learning applications.