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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 QLMExpertFastTrack
Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning
Enhance your understanding of AI and machine learning and gain practical experience with Python programming.
Duration
– 5 weeks
– Weekly study: 5 hours
Course 1 of 4
This course is a key component of the Advanced and Applied AI on Microsoft Azure QLMExpertFastTrack, designed to develop your AI and machine learning skills and prepare you for relevant Microsoft Microcredentials.
Advance your knowledge of machine learning and Python programming through this course, which offers both theoretical insights and hands-on experience.
What You Will Learn
During this data science course, you'll develop a solid grasp of machine learning theories and enhance your practical skills by building, validating, and deploying machine learning models. You'll also utilise Python programming and Azure Notebooks to build models and extract valuable insights.
Explore AI Concepts and Basic Machine Learning
Develop your understanding of complex data relationships through fundamental AI and machine learning concepts. Learn about the theories underpinning current AI technology and master the core principles of machine learning categories, including regression techniques and algorithm behaviours.
Deploy Machine Learning Models
Bridge the gap between IT and data science by learning how to effectively deploy machine learning models into production.
Practical Experience with Python Programming and Azure Notebooks
Understand the importance of data evaluation before developing algorithms. Gain hands-on experience using Python and Azure Notebooks to assess data, helping you gather insights from deployed machine learning models. You'll learn to clean datasets, collect output data, request rates, responses, failure rates, and more using these powerful tools.
Topics Covered
– 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
Showcase the new, job-relevant skills you've acquired and enhance your existing qualifications with a valuable, industry-specific digital certificate. Earn a certificate for each course within your QLMExpertFastTrack.
– Stay updated with the latest in your chosen field.
– Complete each course and pass assessments.
– Receive certificates validated by the educating organisation.
– Impress employers with learning outcomes to add to your CV.
– Achieve your career aspirations.
Accreditation
Microsoft: This course is accredited by Microsoft.
Learning Experience
Engage with fellow learners, share ideas, and participate in active discussions in the comments at every step of the course.
What Will You Achieve?
By the end of the course, you will be able to:
– Perform data exploration, preparation, and cleaning
– Apply supervised machine learning techniques
– Utilise unsupervised machine learning techniques
– Improve model performance
Who Is the Course For?
This course is suitable for anyone looking to enhance their understanding of AI and machine learning.
Course Development
QLM has partnered with leading global technology companies to deliver cutting-edge digital skills training for the modern workplace.
Course 1 of 4