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Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Training 5 or more people ?
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In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data. Learn Machine Learning Terminology & Process For Beginners step-by-step while gaining solid understanding hands-on - Bringing you the latest technologies with up-to-date knowledge.
Are you new to machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS certifications?Look no further - learn and acquire new skills with this Machine Learning Terminology & Process For Beginners course
Welcome to Machine Learning Terminology & Process For Beginners - A one of its kind course! It is not only a comprehensive course, you are will not find a course similar to this.
AWS Machine learning is not free. Please note that you may incur additional costs from AWS.
In this course, you'll learn and practice:
Basic machine learning terminology and process
Learn how to frame a machine learning problem and when to use machine learning
Prepare and develop data sets
Gain solid understanding of feature engineering and data visualizations
Work with model training and evaluation
Learn about business goal evaluation
See machine learning prediction, and much more
In this course, you will also get complete resources, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything
So, if you would like to:
Gain solid understanding of Machine Learning, this course is for you
Gain marketable skills as an IT expert and professional, this course is for you
This course is not designed for intermediate or advanced level students
This Machine Learning Terminology & Process For Beginners is exactly what you need, and more. You’ll even get a certification of completion
What out students say.
See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all of Machine Learning processes and important terminology along with demos - Absolutely worth it” - Chavez
“This is such an awesome course. I loved every bit of it – Wonderful learning experience!” Jill Neumann.
Join thousands of other students and share valuable experience
Why take this course?
As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with Machine Learning projects has been phenomenally great. I am excited to share my knowledge and transfer skills to my students.
Enroll now in Machine Learning Terminology & Process For Beginners today and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing and enjoy bigger, brighter opportunities.
Syed & Team ClayDesk
Basic statistic concept are desirable but not required
AWS account for free tier requires a credit card
Machine learning with AWS is not free. Watchful eye on billing alerts must be kept
Check out the detailed breakdown of what’s inside the course
Hello, my name is Syed Raza and I am passionate about teaching valuable skills to students who are motivated to learn! My goal is to help you easily achieve your goals and objectives, whether that means enhancing your existing skill set, gaining productivity at the workplace, differentiating yourself, or learning the new technological skills that are required to improve your career.
Over the last 20 years, I have acquired valuable skills and experience that allow me to provide you with great learning experiences. I have numerous technical IT and developer certifications (AWS, MCSE+I, MCT, CCNA—including a PhD which enable me to teach a variety of powerful courses, from IT to Project Management.
Providing technical and training solutions using AWS, Azure, Google Cloud, Red Hat OpenShift, Python, Java, JavaScript, React JS, GCP, Kubernetes, Jenkins, Ansible, and Docker
AWS Certified Solutions Architect, DevOps Engineer building AWS pipelines using CodeStar and CodeCommitt
Working knowledge of TensorFlow, Pytorch, Keras, Convolutional networks, and data science concepts
Use your certificate to make a career change or to advance in your current career.
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Master prominent technologies at full length and become a valued certified professional.