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Effective URL: https://www.udacity.com/course/machine-learning-engineer-for-microsoft-azure-nanodegree--nd00333?irclickid=XqYSka2MexyPW...
Submission: On July 24 via manual from BR — Scanned from DE
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Welcome! Claim your personalized offer and start learning job-ready skills
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BECOME A MACHINE LEARNING ENGINEER FOR MICROSOFT AZURE
NANODEGREE PROGRAM
Strengthen your machine learning skills and build practical experience by
training, validating, and evaluating models using Azure Machine Learning.
Enroll Now
Download Syllabus
Play Trailer Video
* ESTIMATED TIME
3 MONTHS
At 5-10 hrs/week
* ENROLL BY
JULY 26, 2023
Get access to classroom immediately on enrollment
* SKILLS ACQUIRED
AZURE ML PIPELINES, AZURE DATA SERVICES, AI BUSINESS CONTEXT
See more skills
IN COLLABORATION WITH
*
WHAT YOU WILL LEARN
1. MACHINE LEARNING ENGINEER FOR MICROSOFT AZURE
3 months to complete
In this program, students will enhance their skills by building and
deploying sophisticated machine learning solutions using popular open source
tools and frameworks, and gain practical experience running complex machine
learning tasks using the built-in Azure labs accessible inside the Udacity
classroom.
Download Syllabus
Related Nanodegree programs
PREREQUISITE KNOWLEDGE
Prior experience with Python, Machine Learning, and Statistics
See detailed requirements
1. USING AZURE MACHINE LEARNING
Machine learning is a critical business operation for many
organizations. Learn how to configure machine learning pipelines in
Azure, identify use cases for Automated Machine Learning, and use the
Azure ML SDK to design, create, and manage machine learning pipelines in
Azure.
* Optimizing an ML Pipeline In Azure
2. MACHINE LEARNING OPERATIONS
This course covers a lot of the key concepts of operationalizing machine
learning, from selecting the appropriate targets for deploying models,
to enabling Application Insights, identifying problems in logs, and
harnessing the power of Azure’s Pipelines. All these concepts are part
of core DevOps pillars that will allow you to demonstrate solid skills
for shipping machine learning models into production.
* Operationalizing Machine Learning
3. CAPSTONE PROJECT
The program capstone gives you the opportunity to use the knowledge you
have obtained from this Nanodegree program to solve an interesting
problem. You will have to use Azure’s Automated ML and HyperDrive to
solve a task. Finally, you will have to deploy the model as a webservice
and test the model endpoint.
* Training and Deploying a Machine Learning Model in Azure
* NEED TO PREPARE?
If you need to prepare, check out our Introduction to Machine Learning
and AI Programming with Python programs.
* THE AVERAGE SALARY FOR AN ML ENGINEER IN THE US IS $146K!
ALL OUR PROGRAMS INCLUDE
* REAL-WORLD PROJECTS FROM INDUSTRY EXPERTS
With real-world projects and immersive content built in partnership with
top-tier companies, you’ll master the tech skills companies want.
* REAL-TIME SUPPORT
On demand help. Receive instant help with your learning directly in the
classroom. Stay on track and get unstuck.
* CAREER SERVICES
You’ll have access to Github portfolio review and LinkedIn profile
optimization to help you advance your career and land a high-paying role.
* FLEXIBLE LEARNING PROGRAM
Tailor a learning plan that fits your busy life. Learn at your own pace and
reach your personal goals on the schedule that works best for you.
PROGRAM OFFERINGS
* CLASS CONTENT
* Real-world projects
* Project reviews
* Project feedback from experienced reviewers
* STUDENT SERVICES
* Student community
* Real-time support
* CAREER SERVICES
* Github review
* Linkedin profile optimization
SUCCEED WITH PERSONALIZED SERVICES.
We provide services customized for your needs at every step of your learning
journey to ensure your success.
* Experienced Project Reviewers
* Real-Time Support
GET TIMELY FEEDBACK ON YOUR PROJECTS.
* Personalized feedback
* Unlimited submissions and feedback loops
* Practical tips and industry best practices
* Additional suggested resources to improve
* 1,400+
project reviewers
* 2.7M
projects reviewed
* 88/100
reviewer rating
* 1.1 hours
avg project review turnaround time
LEARN WITH THE BEST.
LEARN WITH THE BEST.
* NOAH GIFT
Founder of Pragmatic AI Labs
Noah Gift teaches and consults at top universities and companies globally,
including Duke and Northwestern. His areas of expertise are Machine Learning,
MLOps, A.I., Data Science, and Cloud Architecture. Noah has authored several
bestselling books, including <em>Python for DevOps</em>.
* ALFREDO DEZA
Instructor
Alfredo Deza is a passionate software engineer, avid open source developer,
Vim plugin author, photographer, and former Olympic athlete. He has rebuilt
company infrastructure, designed shared storage, and replaced complex build
systems, always in search of efficient and resilient environments.
* ERICK GALINKIN
Principal AI Researcher | Rapid7
Erick Galinkin is a hacker and computer scientist, leading research at the
intersection of security and artificial intelligence at Rapid7. He has spoken
at numerous industry and academic conferences on topics ranging from malware
development to game theory in security.
* SOHAM CHATTERJEE
Graduate Student at the Nanyang Technological University
Soham is an Intel® Software Innovator and a former Deep Learning Researcher
at Saama Technologies. He is currently a Masters by Research student at NTU,
Singapore. His research is on Edge Computing, IoT and Neuromorphic Hardware.
MACHINE LEARNING ENGINEER FOR MICROSOFT AZURE
GET STARTED TODAY
* MONTHLY ACCESS
Pay as you go
€359
per month
€359/month
€359/month
Enroll now
* Maximum flexibility to learn at your own pace.
* Cancel anytime.
* 3-MONTH ACCESS
Pay upfront and save an extra 13%
€927 €1077
for 3-Month access
Enroll now
* Save an extra 13% vs. pay as you go.
* 3 months is the average time to complete this course.
* Switch to monthly price after if more time is needed.
* Cancel anytime.
Best Value
* LEARN
Strengthen your machine learning skills and gain practical experience by
training, validating, and evaluating machine learning models for Microsoft
Azure.
* AVERAGE TIME
On average, successful students take 3 months to complete this program.
* BENEFITS INCLUDE
* Real-world projects from industry experts
* Real-time classroom support
* Career services
PROGRAM DETAILS
PROGRAM OVERVIEW: WHY SHOULD I TAKE THIS PROGRAM?
* WHY SHOULD I ENROLL?
Businesses everywhere are mobilizing to create and implement the AI
strategies that will transform industries in coming years, and they need
engineers to do it. Data from LinkedIn indicates that AI specialists are
among the most sought after roles that companies are looking for, with a 74
percent annual growth rate in hiring over the last four years. To stay
in-demand at companies on the cutting edge of technology, engineers should
prioritize developing their machine learning skill set.
The Machine Learning Engineer for Microsoft Azure Nanodegree Program, built
in collaboration with Microsoft, offers you the chance to build the
practitioner-level skills that companies across industries need. In the
program, you’ll strengthen your machine learning skills by training,
validating, and evaluating models using Azure Machine Learning, and complete
a series of three real-world projects to add to your portfolio.
* WHAT JOBS WILL THIS PROGRAM PREPARE ME FOR?
Students in the program will learn about machine learning algorithms and
crucial deployment techniques, and will be equipped to fill roles at
companies seeking machine learning engineers and AI specialists. These skills
can also be applied in roles at companies that are looking for data
scientists to introduce machine learning techniques into their organization.
* HOW DO I KNOW IF THIS PROGRAM IS RIGHT FOR ME?
The Machine Learning Engineer for Microsoft Azure Nanodegree program is
geared towards people who are interested in building and deploying a machine
learning product or application. The program is a good fit for...
* Data scientists who are trying to expand their knowledge and application
of ML techniques
* Software Developers who want to add ML concepts and techniques into their
toolkit, or use Microsoft Azure for ML model development
* Other professionals who understand ML foundations but want to deepen their
knowledge of and experience with practical applications of ML skills
ENROLLMENT AND ADMISSION
* DO I NEED TO APPLY? WHAT ARE THE ADMISSION CRITERIA?
There is no application. This Nanodegree program accepts everyone, regardless
of experience and specific background.
* WHAT ARE THE PREREQUISITES FOR ENROLLMENT?
A well-prepared learner will meet the following prerequisites:
* Experience with basic Python programming (e.g., ability to read and write
simple Python scripts; understanding of introductory concepts like
variables, loops, modules, conditionals, data types, and functions).
* Some experience with fundamental statistics and algebra, including an
understanding of data distributions (e.g., normal distribution) measures
of central tendency and variability (e.g., mean and standard deviation)
and basic linear equations.
* Udacity also recommends basic familiarity with fundamental machine
learning concepts (such as feature engineering and supervised vs.
unsupervised learning) and classic machine learning algorithms (such as
linear regression and k-means clustering).
* An understanding of the basics of Azure and Docker/Container experience.
* If you'd like to prepare for this Nanodegree program, check out our
Introduction to Machine Learning and AI Programming with Python courses.
* IF I DO NOT MEET THE REQUIREMENTS TO ENROLL, WHAT SHOULD I DO?
To prepare, we recommend the Introduction to Machine Learning and AI
Programming with Python programs, to build your comfortability with ML
concepts and using python in an AI context.
TUITION AND TERM OF PROGRAM
* HOW IS THIS NANODEGREE PROGRAM STRUCTURED?
The Machine Learning Engineer for Microsoft Azure Nanodegree program is
comprised of content and curriculum to support three (3) projects. We
estimate that students can complete the program in three (3) months working
5-10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will
be provided and if you do not pass the project, you will be asked to resubmit
the project until it passes.
* HOW LONG IS THIS NANODEGREE PROGRAM?
Access to this Nanodegree program runs for the length of time specified
above. If you do not graduate within that time period, you will continue
learning with month-to-month payments. See the Terms of Use and FAQs for
other policies regarding the terms of access to our Nanodegree programs.
* CAN I SWITCH MY START DATE? CAN I GET A REFUND?
Please see the Udacity Program FAQs for policies on enrollment in our
programs.
SOFTWARE AND HARDWARE: WHAT DO I NEED FOR THIS PROGRAM?
* WHAT SOFTWARE AND VERSIONS WILL I NEED FOR THIS PROGRAM?
For this program, you will need a desktop or laptop computer running recent
versions of Windows, Mac OS X, or Linux, and an unmetered broadband Internet
connection. There are no additional hardware or software requirements for
this program, other than those outlined on Udacity's general Technology
Requirements page.
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who help us develop our content and who hire many of our program graduates.
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