Advanced and Applied AI on Microsoft Azure
Learn Path Description
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 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.]
Skills You Will Gain
Courses In This Learning Path
Total Duration
5 weeks
Level
Intermediate
Learn Type
Certifications
Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning
This course is part the Advanced and Applied AI On Microsoft Azure ExpertTrack. It will help you to develop AI and machine-learning skills, and prepare you for the relevant Microsoft Microcredentials.
This course offers both practical and theoretical experience in machine learning and Python programming.
This data science course will give you a solid understanding of the theory of machine learning. Then, you'll be able to apply your knowledge to build, validate, and deploy machine learning models.
Additionally, you'll learn how to use Azure Notebooks and Python programming to build and deduce insights.
Learn how to use basic machine learning and AI concepts to improve your understanding of complex data relationships.
Learn the theories that drive AI technology and the core principles behind machine learning categories, including regression techniques and how machines behave and learn.
This course will bridge the gap between IT & data science when putting a model into production. It will also teach you how to deploy machine learning models.
This course will help you understand the importance and practical use of Python and Azure Notebooks to analyze data. Once your machine learning models have been deployed, these powerful tools will allow you to gain insights.
You'll learn how you can clean data sets, collect output data, request rates, failure rates, and more using Python and Azure Notebooks.
Microsoft has granted accreditation to this course
Total Duration
3 weeks
Level
Intermediate
Learn Type
Certifications
Applied Artificial Intelligence: Speech Recognition Systems
This course is part of the Advanced and Applied AI in Microsoft Azure Expert Track, designed to develop AI and machine learning skills and prepare students for Microsoft microcredentials. The course focuses on Automatic Speech Recognition (ASR) and its components. Students will learn how sounds are captured by sensors and converted into numerical data, as well as how ASR systems convert this data into textual representations of spoken words. The course covers both the theory and practical aspects of speech recognition, including identifying and fixing design problems. Through hands-on exercises, students will build different function blocks of a speech recognition system using Python code. By the end of the course, they will be able to create a speech recognition system from scratch, which can be a valuable tool for data science activities. The course is accredited by Microsoft.
Total Duration
3 weeks
Level
Intermediate
Learn Type
Certifications
Applied Artificial Intelligence: Natural Language Processing
This course is part of the Advanced and Applied AI in Microsoft Azure ExpertTrack and focuses on developing AI and machine-learning skills. It aims to prepare students for Microsoft microcredentials. The course highlights the importance of Natural Language Processing (NLP) in our daily lives and its crucial role in AI. NLP is an area of AI, machine learning, and computational linguistics that deals with processing and understanding human language. The course covers various sub-areas of NLP, including natural language understanding, machine translation, semantics, syntactic parsing, dialectal systems, and natural language emulation. Additionally, students will have the opportunity to explore language and vision joint learning, multimodal intelligence tasks, and deep learning models for image captioning and visual query answering. However, NLP is not without its challenges, and the course will address these issues using deep learning models for machine translation, conversation, and deep reinforcement learning models for natural language applications. It's important to note that this course is accredited by Microsoft.
Total Duration
4 weeks
Level
Beginner
Learn Type
Certifications
Applied Artificial Intelligence: Computer Vision and Image Analysis
This course is part the Advanced and Applied AI On Microsoft Azure ExpertTrack. It will help you to develop AI and machine-learning skills, and prepare you for the relevant Microsoft microcredentials. We can see meaning in an image by looking at it. Computer vision is a method that extracts information from the visual world and helps computers see it. This course will teach you all about Image Analysis techniques, and the importance of computer vision in AI. To increase your understanding of this component, you will learn about the classic Image Analysis techniques like Edge Detection and Watershed, as well K-means Clustering. To understand the history of Image Analysis, you'll be able to learn about the evolution of Image Analysis.
You will be able to use deep learning and classical object classification techniques to apply modern AI technologies by the end of this course. OpenCV and Microsoft Cognitive Toolkit will be used to extract meaningful parts from images. This will allow you to further enhance your computer vision knowledge. OpenCV will teach you how to implement the classic Image Analysis algorithms. You'll also learn how to train a model for Semantic Segmentation using Transfer Learning or Microsoft ResNet. These skills are transferable and will be useful in dealing with computer vision in AI.
Microsoft has granted accreditation to this course
