Advanced and Applied AI on Microsoft Azure
Enhance your understanding of machine learning and AI using Microsoft Azure and Python.
Duration
Approx 15 weeks5-6 hrs per week
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 ExpertTrack 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 organisations 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
Week 1
Introduction to Course and Machine Learning
- Course Introduction
- Introduction to Machine Learning
- Exploratory Data Analysis for Regression
- Visualisation for High Dimensions
- Wrapping Up the Week
Week 2
Data Exploration & Preparation
- Exploratory Data Analysis for Classification
- Data Cleaning
- Data Preparation
- Data Preparation and Cleaning using Python
- Feature Engineering
- Weekly Wrap-Up
Week 3
Regression & Classification
- Regression
- Putting Regression Concepts Into Practice
- Classification
- RoC Curves
- Putting Classification Concepts Into Practice
- Weekly Wrap-Up
Week 4
Principles & Techniques of Model Improvement
- Principles of Model Improvement
- Techniques for Improving Models
- Cross Validation
- Dimensionality Reduction
- Introduction to Decision Trees
- Ensemble Methods: Boosting
- Weekly Wrap-Up
Week 5
Machine Learning Algorithms & Unsupervised Learning
- Ensemble Methods: Descent & Decision Forests
- Advanced Machine Learning Algorithm: Neural Networks
- Advanced Machine Learning Algorithm: SVMs
- Advanced Machine Learning Algorithm: Naive Bayes Models
- Unsupervised Machine Learning
- Unsupervised Machine Learning Labs
- Wrapping up the Course
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
Week 1
Course Introduction
- About this Course
- Introduction to Fundamental Theory
- CloudSwyft Hands-On Lab 1
- Speech Signal Processing
- CloudSwyft Hands-On Lab 2
- Wrapping Up the Week
Week 2
Acoustic and Language Modeling
- Acoustic Modelling
- Deep Neural Network Acoustic Models
- CloudSwyft Hands-On Lab 3
- Language Modelling
- Language Model Evaluation and Operations
- Wrapping up the week
Week 3
Speech Decoding and Advanced Acoustic Modeling Techniques
- Week 3 Welcome and CloudSwyft Hands-On Lab 4
- Speech Decoding
- WFST, Acceptors and Graph Composition
- CloudSwyft Hands-On Lab 5
- Advanced Acoustic Modeling Techniques | Improved Objective Functions
- Course Completion
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
Week 1
Course Introduction
- About this Course
- Introduction to NLP
- NLP and Text Processing
- Neural Models for Machine Translation and Conversation Generation
- CloudSwyft Hands-On Lab 1
- Wrapping up the week
Week 2
Deep Semantic Similarity Model (DSSM)
- Deep Semantic Similarity Model and its Applications
- Deep Semantic Similarity Model for Information Retrieval
- Deep Semantic Similarity Model for Entity Ranking
- CloudSwyft Hands-On Lab 2
- Deep Reinforcement Learning
- Vision-Language Multimodal Intelligence
- Wrapping up the Week
Week 3
Natural Language Understanding
- Natural Language Understanding
- Continuous Word Representation
- Neural Knowledge Base Embedding
- Knowledge-Based Question Answering
- CloudSwyft Hands-On Lab 3
- Wrapping up the Week & Course Completion
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
Week 1
Introduction and The 5 Algorithms
- About this Course
- Image Processing, Application and Segmentation
- Image Features and Classical Methods
- Clustering and Region Growing
- Wrap Up
Week 2
Object Classification and Detection
- Template Matches, Edges and Corners
- Histogram of Orientated Gradients
- Object Classification And Detection
- Wrap Up
Week 3
CNNs, Deep Learning & Deep Segmentation
- Convolutional Neural Networks (CNN)
- Deep Learning
- Deep Segmentation
- Wrap Up
Week 4
FCN, Transfer Learning and Course Wrap Up
- Fully Convolutional Approaches (FCNs)
- Deep Segmenters & Transfer Learning
- Final Assessment and Course Wrap Up
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.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
Download a PDF
How ExpertTracks work
Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.
Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.
Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time.
Receive a certificate for every completed course and pass the final assessment to earn a digital certificate.
Use your specialist training to progress further in your career or build expertise in areas you’re passionate about.
World-class learning with CloudSwyft Global Systems, Inc.
CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.
This ExpertTrack is accredited by Microsoft
Learning on FutureLearn
Your learning, your rules
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- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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FAQ
ExpertTracks are a series of online courses designed to help you master new skills in specialist areas. You pay a monthly subscription fee which includes access to all courses within the ExpertTrack, as well as assessments and the final digital certificate.
Each ExpertTrack comes with a 7-day free trial period. You may cancel your subscription at any time and your subscription will automatically cancel when you finish the courses and assessments in your chosen ExpertTrack.
Yes. All of our ExpertTracks come with a 7-day free trial. You may claim one free trial period per ExpertTrack.
You have seven days before you will be charged your first monthly subscription fee. When you join an ExpertTrack you automatically receive a 7-day free trial period. You can cancel at any time during the trial period and no payment will be taken from your account.
Please see our full refund policy here.
No, all of our ExpertTracks consist of fully online courses. This means you can take an ExpertTrack from anywhere in the world.
No. ExpertTracks are designed for you to master new skills in a specialist area. You will earn a digital certificate that proves your learning, but it does not carry accreditation.
If you’re looking for certified or accredited courses, many of our microcredentials offer university credit or professional certification.
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