Developing AI Applications on Azure by LearnQuest via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud.

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach.

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API.

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

Course and certificate fees

Type of course

Free

The Developing AI Applications on Azure certification fees are as follows:

Course fees	Amount
Certificate fees	Rs. 2,435

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,435

Who it is for

Data analyst

Developing AI Applications on Azure Certification Course offers conceptual and professional online training experience to individuals in the field of Artificial Intelligence, Machine Learning, Data Analysis, Data Analytics, and other related domains. This course is especially beneficial for-

Machine Learning Professionals
Python Programmers
Data Analysts
Artificial Intelligence Enthusiasts

Eligibility criteria

Work Experience

For pursuing the course on Developing AI Applications on Azure online course, requires candidates to possess a general knowledge of Microsoft Azure including the tools and features.

Certification Qualifying Details

Candidates taking up the Developing AI Applications on Azure training course would receive an online Certification after attending all the video lectures and post-grading of their submitted projects by peers and staff.

It is pertinent to mention here that certification is a paid feature and will only be issued to those who paid the full fees.

What you will learn

Knowledge of python Data science knowledge Knowledge of cloud computing

Developing AI Applications on Azure Certification Course is an advanced-level online training programme that focuses on sharpening the basics while creating strong expertise over AI and machine learning models. While pursuing this course, course takers will delve into certain significant concepts like-

Defining the broad framework of Machine Learning and Artificial Intelligence.
Working with Azure APIs for search, vision and language.
Describing and gaining hands-on experience of Microsoft Team Data Science Process and AI roles and tools.
Creating, testing and training AI models in the cloud.

The syllabus

Module 1: Introduction to Artificial Intelligence

Videos

Introduction
Definition of AI and Machine Learning
Machine Learning Algorithms
Python Basics
Definition of AI and Machine Learning
Python Collections
Python Scientific Ecosystem and ML Libraries
Linear Regression with Scikit Learn
Python Variables
Logistic Regression with Scikit Learn
Module Conclusion

Readings

Exercise: Sign up for a free Azure account or login to your existing one
Definition of AI
Comparison of machine learning algorithms
Links to learn more about python
Exercise Python Basics notebook
Exercise: Scikit-learn models for regression and classification

Practice Exercises

Practice: Python Collections
AI and ML Definitions
Deep Learning
Module 1: Introduction to Artificial Intelligence

Module 2: Standardized AI Processes and Azure Resources

Videos

Module 2 Introduction
AI Tools
AI processes
TDSP Stages
TDSP General Manager Tasks
TDSP Task Lead Tasks
TDSP Project Lead Tasks
TDSP Data Scientist Tasks
Conclusion

Readings

Microsoft Team Data Science Process
Exercise: TDSP in Azure DevOps

Practice Exercises

Practice: TDSP
ML Studio
Module 2: Standardized AI Processes and Azure Resources

Module 3: Azure Cognitive APIs

Videos

Module 3 Introduction
Cognitive Services Overview
Azure Computer Vision API
Face API
Other Cognitive Services API's
Sentiment analysis
Module 3 Conclusion

Readings

Exercise: Computer Vision Notebook
Exercise: Face API Notebook
Exercise: Sentiment Analysis Notebook

Practice Exercises

Search API
Translation
Module 3: Azure Cognitive APIs

Module 4: Azure Machine Learning Service: Model Training

Videos

Introduction
Azure ML Service
Ways to create an ML Workspace
Setting up Experiments
Train and register a model
Train a model using Azure ML
Conclusion

Readings

Microsoft Azure Machine Learning Documentation
Exercise: Workspace Notebook
Exercise: Model Training Notebook

Practice Exercises

Azure ML Process
Practice: Azure ML Workspace
Practice: Train
Train Process Step
Azure Machine Learning Service

Module 5: Azure Machine Learning Service: Model Management and Deployment

Videos

Introduction
Connect to your Workspace
Reference your Registered Model
defining scoring and dependencies
Define Deployment Config
Deploy Container Image
Test the Deployed Image
Conclusion

Reading

Exercise: Deployment Notebook

Practice Exercises

Practice: Saving Connections
Practice: SDK Container
Model Registry
Azure Machine Learning Operations

Admission details

Candidates have to follow a very simple process to enrol for Developing AI Applications on Azure Certification Course. A step-by-step guide has been given below to assist them with the enrollment.

Step 1: Visit the official webpage for the course by clicking on this link-https://www.coursera.org/learn/developing-ai-applications-azure

Step 2: An “Enroll for Free” option will appear on top of the page. Selecting that would display a dialogue box where the candidate will be provided two options to either purchase the course or audit the course for free.

Step 3: Candidates would then be required to sign up on Coursera through their existing account, Google, or Facebook.

Step 4: On opting for the certification or purchased version, candidates need to make the payment of the requisite course fee after which they can access the course. Opting for the free course will provide the learners with free and immediate access to course materials. They need to tap on “Start Learning.”

Scholarship Details

Coursera grants financial aid to all course takers who are willing to take up the course but cannot owing to financial difficulties. Interested applicants shall first create an account on Coursera or Sign In through their account (if they have taken up courses previously) and click on “Financial Aid Available”. They will have to further opt for “Continue to the Application” in the dialogue box which would redirect them to the application form webpage. However, applicants have to ensure that they submit their form at least fifteen days before the date they wish to take up the course else their application would not be processed.

On the form webpage, learners will have to click on the declaration boxes confirming that they would complete the course after approval of their aid and that they would enter correct information about them. Then they may proceed by clicking on “Continue.”

Students will have to fill in the following information in their application-

Annual Income
Minimum amount they can afford
Educational Background
Reasons to apply for financial aid
Employment status
How they will deploy the front of the learning he course in their career

How it helps

Perhaps the best aspect of Developing AI Applications on Azure Course turns out to be the massive information and learning it provides within a brief span of sixteen hours. This course is bound to help learners in comprehending different algorithms and implementations of AI in Microsoft Azure setup with a professional and industrial orientation. Interacting with codes on Azure provides a practical experience to learners.

Other Developing AI Applications on Azure certification benefits include the three-fold structure in the form of valuable insights on artificial intelligence, machine learning, and data science. From business understanding to deployment, the course offerings provide an overall idea through end-to-end machine learning and project management. This way, the course will aim at polishing the practical field of study.

The Developing AI Applications on Azure certification online course is offered by LearnQuest, a reputed training partner to many global and leading companies, government agencies, and organisations. As a result, the trainers vested with unparalleled industry experience facilitate training delivery in a manner suitable to individuals from various industries so that they can invest their knowledge in their respective industries in an efficient manner.

Instructors

Mr Ronald J. Daskevich
Lead Instructor
LearnQuest

FAQs

Can candidates re-take the Developing AI Applications on Azure certification course?

Candidates can retake exams and quizzes, apart from re-doing the assignments. Their most recent grade will be considered. However, the course progress of an already started course cannot be reset.

What should a candidate do if they cannot download the video lectures for the Developing AI Applications on Azure certification course?

The option of downloading video lectures is available. Candidates can watch them offline and it would not be problematic because of short videos.

What are the policies for quizzes in the Developing AI Applications on Azure certification course?

There is as such no limit on the number of re-attempts however there can be a waiting time before each re-attempt. The highest-scoring attempt will only be saved.

What to do if any candidate is not able to see his/her final grade for the Developing AI Applications on Azure certification course?

Candidate can do the following-

Check the Grades tab to ensure if all he/she has passed all assignments.
Wait for a few days after the last personalised deadline for the final grade and check after some time.

How will a learner be notified if his/her application has been accepted for the Developing AI Applications on Azure training course?

Selected learners will get notified via email provided by them with immediate enrollment for the online course. On rejection of the application, the mail will specify the reasons for the same.