Download and Learn AI Engineer using Microsoft Azure Udacity Nanodegree Course 2022 for free with google drive download link.

Meet the growing demand for Azure AI engineers and learn to design, build, and implement machine learning models, using Microsoft Azure.
IN COLLABORATION WITH

Microsoft

What You Will Learn in AI Engineer using Microsoft Azure Nanodegree

AI Engineer using Microsoft Azure

You’ll master the skills necessary to implement machine learning models, design and build an end-to-end AI solution with Azure Cognitive Services, and deploy, monitor, and manage continuous improvement of an Azure AI solution. By the end of the program, you’ll be an ideal candidate for Microsoft certification A1-102.

You’ll master the skills necessary to implement machine learning models, design and build an end-to-end AI solution with Azure Cognitive Services, and deploy, monitor, and manage continuous improvement of an Azure AI solution.

Prerequisite Knowledge

Python, Microsoft Azure, JSON and REST programming semantics.

Python programming skills:

  • Understand the basics of object-oriented programming.
  • Read basic Python syntax, including using white space in Python.
  • Distinguish between object types like integers and strings in scripts.
  • Use Python to build basic algorithms for simple programs and scripts that automate common tasks (i.e. renaming files).
  • Write and run basic programming scripts in a terminal that include function definitions and loops.

Other required skills:

  • Demonstrate knowledge of Microsoft Azure and the ability to navigate the Azure portal
  • Familiarity with a variety of Azure data sources such as Azure Data Lake and Azure SQL
  • Demonstrate knowledge of JSON and REST programming semantics and the ability to use APIs in application development.

Building Computer Vision Solutions with Azure

Students will begin by learning what computer vision is and about real-life business use cases. They will create solutions using different types of vision-based Azure Cognitive Services, including Azure Form Recognizer, Azure Face and Video Analyzer, and Azure Computer Vision and Custom Vision. Finally, they will learn and apply the deployment and monitoring tools to ensure that the solution is complete and runs smoothly.

PROJECT – Automated Passenger Boarding Kiosk

Build an automated passenger boarding kiosk to collect passenger and flight information through the passenger’s face image, digital ID, boarding pass, etc. Perform various validation processes and confirm if a given passenger can board the plane or not. Use various Azure Cognitive Services and supporting services for this project, including Azure Computer Vision, Face, Form Recognizer, Video Analyzer, Azure Blob storage in a Python run-time environment.

Building NLP and Conversational AI Solutions with Azure

Students will learn how to build conversational AI and NLP solutions on Azure. They’ll explore use cases including chatbots and assistant solutions, then create solution diagrams, model dialogs, and learn about responsible AI principles and practice creating requirements. They’ll also create and configure bot applications and implement Azure Text and Speech Cognitive Services in applications.

PROJECT – Dental Office Virtual Assistant

Create a customer support chatbot for a dentist website using the Azure platform, a Node.js bot application, and a LUIS Model and QnA Knowledge Base. The bot will use the Azure QnA Knowledge Base and LUIS to answer patient questions and help them schedule appointments. Deploy the bot application and resources to Azure and implement the assistant in a website.

Building Knowledge Mining Solutions With Azure Cognitive Search

Students will learn how to add data sources to Azure Cognitive Search, enrich the data with AI, properly index the enriched data, and expose the index to client applications for search scenarios. They will begin by learning how to design an Azure Cognitive Search solution and finish the course by building out an AI enriched data mining application from end-to-end.

PROJECT – Build an AI Enriched Corporate Training Catalog

Create a knowledge-mining solution to help employees of a company gain insights into training materials made available by their company by combining 4 datasets. Enrich these data using built-in skills, connect a user-facing search interface to the solution, and demonstrate various query capabilities of the solution.

According to ZipRecruiter, AI Engineers make an average annual salary of over $164,000 a year.

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.

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

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.

❗❗ Important Must Read ❗❗

Regarding Google Drive, we are only accepting 100 file requests per day because Google has banned our Drive account from publicly sharing larger files. Additionally, some websites are using our files without giving us credit. So we’ve made the course material / file private; you can request it, but it’s first come, first served. We are currently receiving over 6000+ file requests per day.

Now we have all updated Udacity Courses up to June 8, 2022 – new courses, totaling 78 Nanodegree Courses with full Materials (Note: We are the only website on the internet to have all the Updated Udacity Course).

We are no longer offering Dedicated Drives to new users.

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AI Engineer using Microsoft Azure Nanodegree Free Download Link: