Applied Advanced AI with Microsoft Azure

Develop machine learning skills with Python and explore Azure's AI functionality

Have you ever wanted to design and build a solution using machine learning and artificial intelligence (AI)? Together with Microsoft, this Expert Track will teach you how to do that using Microsoft Azure.

It will also help you prepare for related exams including Microsoft Azure AI Engineer Associate (AI-100) and Microsoft Azure AI Fundamentals (AI-900).

Work towards a career in AI, machine learning, or data science

PwC research estimates that AI will add more than $15 trillion to the world economy by 2030.

Data scientists, machine learning engineers, and AI specialists will play a key role in bringing this to life. AI Specialist was the number 1 in-demand role in 2020 for the UK, USA, and Australia. Key skills required included machine learning, Python, deep learning, natural language processing and computer vision.

As organizations try to implement new technologies, they are often faced with a shortage of talent to implement these initiatives.

This ExpertTrack will help you develop those in-demand skills including machine learning, data science, artificial intelligence, and Python.

It will enable you to build strong foundations to start your career in machine learning, AI, or data science.

Build an AI solution with Microsoft Azure

More than 95% of Fortune 500 companies use Azure – Microsoft’s cloud computing platform.

This ExpertTrack will provide you with a detailed introduction to the core services offered by Microsoft Azure while teaching you how to use its advanced Azure AI functionality. You will gain skills that are in wide demand across many industries, therefore boosting your career prospects.

Develop Python skills for AI

Artificial intelligence works thanks to predictive models driven by machine learning. On this ExpertTrack, you will learn how to build such machine learning tools and predictive models using the Python programming language.

You will develop the necessary Python skills to build predictive models for machine learning algorithms, to conduct data science research and other data science projects.

Use Microsoft Azure to develop an AI chatbot

Finally, you will use Azure Cognitive Services to create your own AI chatbot. You will learn the basics of natural language programming and use LUIS (language understanding) to improve your chatbot’s artificial intelligence and functionality.

Upon completing this ExpertTrack, you’ll have a strong understanding of the core skills needed for a career in machine learning, AI, or data science.

[Content for this ExpertTrack has been adapted from the Artificial Intelligence on Microsoft Azure microcredential, which offers smaller cohorts with tutor interactions, feedback on assessments, and academic credit.]

Key skills you will learn

Azure Cloud Portal Administration
Azure Cognitive Services
Azure Machile Learning Models
Python Programming
Machine Learning Algorithms
Statictics for AI
Mathematics for AI
Microsoft Bot Framework
Chatbot Development and LUIS Integration

Experience required

There are no entry requirements for this ExpertTrack. However, a basic understanding of Python, C#, Creative Studio, or experience working with data in Excel, databases, or text files, may help.

High school-equivalent mathematics and statistics will be helpful to understanding machine learning concepts.

Getting started

This ExpertTrack is for anyone looking to start a career in AI, machine learning or data science.

These roles could include:

AI specialist
Machine learning specialist
Machine learning engineer
AI analyst
AI statistician
Artificial intelligence engineer or developer
Data and AI architect
Business intelligence analyst

ExpertTrack course overview

Course 1
Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning
Build your understanding of AI and machine learning before gaining practical experience using Python programming.
5 weeks
5 hours per week
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Course 2
Applied Artificial Intelligence: Speech Recognition Systems
Gain an understanding of Automatic Speech Recognition (ASR) systems using Python and AI-powered technology.
3 weeks
5 hours per week
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Course 3
Applied Artificial Intelligence: Natural Language Processing
Learn how Natural Language Processing is a crucial component in generative AI and understand its core problems.
3 weeks
6 hours per week
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Course 4
Applied Artificial Intelligence: Computer Vision and Image Analysis
Learn how computer vision is important in AI and gain practical experience of image analysis.
1 test
4 weeks
5 hours per week
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Prove you're job ready

Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.