Machine Learning Engineer for Microsoft Azure by Udacity: Fee, Duration, How to Apply

Quick Facts

particular	details
Collaborators Microsoft Corporation	Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based

Course overview

The Machine Learning Engineer for Microsoft Azure online course is designed to deliver the knowledge of Azure Machine Learning over the cloud covering the use and benefits of Machine Learning in the cloud. The course teaches how to manage and choose computer resources to train Machine Learning models for quick and accurate predictive results.

The Machine Learning Engineer for Microsoft Azure syllabus explores training of Machine Learning Models in Azure including supervised model, unsupervised model and Reinforcement model. The program helps to learn using various types of tools in Microsoft Azure to train and deploy a machine learning model for pipeline automation. The nano degree course covers key concepts to analyze data and construct data sets suitable for machine learning.

The Machine Learning Engineer for Microsoft Azure nano degree program in collaboration with Microsoft focuses on Configuring cloud-based machine learning model with the help of Microsoft Azure services and tools, training a model on datasets using Automated Machine Learning and Analyzing the performance of the trained models. The Course covers in-depth knowledge of shipping machine learning models into production.

Course and certificate fees

Machine Learning Engineer for Microsoft Azure Fee

Heads	Amount in INR
Programme Fees (4-month access)	34,850
Programme Fees (Month-To-Month)	10,250/month

certificate availability

Yes

certificate providing authority

Udacity

Who it is for

Data scientist Computer programmer Data administrator Database architect

Students having basic knowledge of Python Programming, Machine Learning, Docker/Container service who want to become Machine Learning Engineer, Data Administrator, Data Engineer, Data Scientist, can join Machine Learning Engineer for Microsoft Azure Program.

Eligibility criteria

For enrolling in Machine Learning Engineer for Microsoft Azure certification course, the candidate should have experience with basic python programming skills and knowledge of fundamental statistics and algebra. The candidate should be familiar with basic machine learning concepts along with an understanding of Azure and Docker/Container services.

Certification Qualifying Details

Candidates should complete their in-course Assessments and Capstone Project to get a completion certificate in Machine Learning for Microsoft Azure.

What you will learn

Knowledge of artificial intelligence Knowledge of deep learning Automation skills Machine learning Knowledge of cloud computing

After completing the Machine Learning Engineer by Microsoft Azure nano degree program, candidates will be able to :

Train Machine Learning Models
Deploy Machine Learning Models
Configure Machine Learning Pipeline
Identify problems in logs

The syllabus

Using Azure Machine Learning

Introduction to Azure ML

Understand why you should do ML in the cloud
Understand when you should do ML in the cloud
Analyze the customers of ML

Workspaces and the Azure ML Studio

Interpret the Azure ML Platform
Explain how to manage and choose to compute resources
Summarize the key components of Workspaces and Notebooks

Datastores and Datasets

Analyze how to manage data
Construct datasets
Compose solutions to manage data drift and deal with sensitive data

Training Models in Azure ML

Experiment with the Designer
Develop and manage pipelines
Organize and run hyperparameter experiments

The AzureML SDK

Utilize data with the SDK
Create pipelines
Organize experiments

AutoML and Hyperparameter

Design solutions with AutoML and the SDK
Analyze model interpretation experiments
Create portable ML models with ONNX

Machine Learning Operations

Enabling Security

Create a Service Principal account for different types of roles
Determine what the differences are in various forms of authentication
Use a specific type of authentication when selecting deployment settings

Deploy a ML model

Use a production environment for deployment
Enable authentication in the deployment cluster
Discover the differences between container-based deployment and Kubernetes.

ML Endpoints

Use a proven tool to find what a baseline for performance is
Gather information about an endpoint input to interact with it
Find what potential issues can happen with an incorrect input

Pipeline Automation

Create a pipeline to further automation when training models
Enable a REST API for the pipeline, so other services can interact with it

Admission details

Step 1. To know more about the Machine Learning Engineer for Microsoft Azure online Course, open the course website

(https://www.udacity.com/course/machine-learning-engineer-for-microsoft-azure-nanodegree--nd00333)

Step 2. Visit the checkout page by clicking on the ‘Enroll Now’ button

Step 3. Confirm order details and continue

Step 4. Fill in the payment details

Step 5. Complete the Application by paying fees.

Filling the form

Step 1. To Apply for the Machine Learning Engineer for Microsoft Azure nanodegree training, open the course website

(https://www.udacity.com/course/machine-learning-engineer-for-microsoft-azure-nanodegree--nd00333)

Step 2. Open your account by filling in login details

Step 3. Upload the self-attested copy of required documents

Step 4. Verify your email address and Phone number

Step 5. Finish the registration process.

Evaluation process

There is no any type of written examination for certification in Machine Learning for Microsoft Azure, however, candidates must submit their capstone project based on their learning.

How it helps

Real-world projects from industry experts
Technical mentor support
Career services
Student community support
Flexible Learning

Instructors

Mr Noah Gift
Professor
Duke University, Durham

Mr Alfredo Deza
Instructor
Freelancer

Mr Erick Galinkin
Researcher
Freelancer

Mr Soham Chatterjee
Researcher
Freelancer

Other Bachelors, Other Masters

FAQs

Who is eligible to enroll in Machine Learning for Microsoft Azure online training ?

Students and professionals having basic knowledge of python programming, machine learning along with docker/container services can join Machine Learning Engineer for Microsoft Azure.

What is the duration of this course ?

The estimated duration of Machine Learning Engineer for Microsoft Azure nano degree is 2 Months.

Can I join this course without any work experience ?

Yes, you can join Machine Learning for Microsoft Azure courses online without any work experience.

What Job roles can I apply for after completing this course ?

After the completion of the Machine Learning for Microsoft Azure Certification course, candidates can apply for different job roles, such as Machine Learning Engineer, AI Specialist, Data Scientist, and many more.