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.
Duration
5 weeksWeekly study
5 hoursIncluded in an ExpertTrack
Course 1 of 4
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.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
Download a PDF
Who is this accredited by?
This course is accredited by Microsoft
Learning on this course
You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
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.
Start learning today - free 7-day trial
After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
- Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
- Keep access to the content of courses you complete even after your subscription ends
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
- 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
Want to know more about learning on FutureLearn? Using FutureLearn
