This course is part of the Advanced and Applied AI on Microsoft Azure ExpertTrack
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.
- Duration5 weeks
- Weekly study5 hours
- Included in an ExpertTrackCourse 1 of 4
- Get full ExpertTrack access$39/month
Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning
This course is part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, helping you develop AI and machine learning skills and prepare you for the relevant Microsoft Microcredentials.
Take your knowledge of machine learning and Python programming to the next level with this course offering both theoretical and practical experience.
During this data science course, you’ll gain a strong understanding of the theories of machine learning before enhancing your practical knowledge by building, validating and deploying machine learning models.
You’ll also learn how to use Python programming and Azure Notebooks to help you build and derive insights.
Delve into AI concepts and basic machine learning
Build your understanding of relationships in complex data through basic machine learning and AI concepts.
You’ll learn the theories which drive AI technology today as well as the core principles of machine learning categories including regression techniques and how algorithms behave and learn in machines.
Learn how to deploy machine learning models
This course will help bridge the gap between IT and data science in putting a model into production, teaching you how to effectively deploy machine learning models.
Gain practical experience using Python programming and Azure Notebooks
You’ll understand the importance of evaluating your data before developing algorithms and also get hands-on experience of using Python and Azure Notebooks to evaluate data. These powerful tools will help you gather insights from machine learning models once they have been deployed.
During the course, you’ll learn how to clean data sets, collect output data, request rates, responses, failure rates and more with Python and Azure Notebooks.
What topics will you cover?
- Introduction to Machine Learning & Knowledge Discovery
- Exploring & Evaluating Data
- Cleaning & Preparing Data
- Getting Started with Supervised Machine Learning
- Improving Machine Learning Model Performance
- Machine Learning Algorithms
- Unsupervised Machine Learning
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.
- Create a shareable certificate link for your CV and LinkedIn.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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Who is this accredited by?
This course is accredited by Microsoft
What will you achieve?
By the end of the course, you‘ll be able to...
- Data exploration, preparation and cleaning
- Supervised machine learning techniques
- Unsupervised machine learning techniques
- Model performance improvement
Who is the course for?
This course is for anyone looking to build their understanding of AI and machine learning.
Who developed the course?
CloudSwyft Global Systems, Inc.
CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.
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