The Machine Learning Pipeline on AWS Training

The Machine Learning Pipeline on AWS Course is an intermediate-level course that explores how to use the machine learning (ML) pipeline to solve a significant business problem in a project-based learning environment.  

The Machine Learning Pipeline on AWS course helps you understand how to use Machine Learning Pipeline to solve genuine business problems in a project-based environment. With this course, you will understand the three major business problems – Fraud Detection, Recommendation Engines or Flight Delays and learn about the various phases of the pipeline to minimize problems and risks.

By the end of the course, you will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.  

After completing the Machine Learning Pipeline on AWS certification training, you will be able to:

• Select and justify the appropriate ML approach for a given business problem
• Use the ML pipeline to solve a specific business problem
• Train, evaluate, deploy, and tune an ML model using Amazon SageMaker
• Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
• Apply machine learning to a real-life business problem after the course is complete 

To be eligible for this course, you should have:

• Basic knowledge of Python programming language
• Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
• Basic experience working in a Jupyter notebook environment 

Currently all our courses are offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts. 

Our instructors are approved by AWS to lead these sessions. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning.  

Our courses are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced AWS platform practitioner. The focus is on finding practical solutions to real-world scenarios in various projects environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience. 

Internet Connectivity (2Mbps Link) and Laptop/PC (Windows/Mac) with 4GB RAM. 

No, you do not need to record the sessions, the sessions will be auto recorded on our LMS, you will be able to refer to them. 

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch. 

With our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. At KnowledgeHut, we strive to ensure that your learning experience with us is beyond reproach. However, if for any reason your expectations are not met, we will refund the Machine Learning Pipeline on AWS course cost in accordance with our 100% Satisfaction Guarantee policy.

Note*:  In case of a refund, it will be credited to your account within 10-15 business days of the refund request. 

Yes, we have a 100% money-back guarantee in line with our 100% Satisfaction Guarantee policy. 

Yes, scholarships are available for students and veterans with grants that can vary up to 50% of the course fees.

To avail scholarships, please get in touch with us at support@knowledgehut.com. The team shall send the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts takes a decision on the Grant. The entire process could take about 7 to 15 days. 

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up to 20% to 30% on the course fee. For more details, please check out upcoming schedules. 

Yes, installment options are available for payment of course fees. To avail installment option, please get in touch with us at support@knowledgehut.com. The team will explain how the installments work and provide timelines for your case. Typically, the number of installments varies from 2 to 3, but the full amount must be paid before you complete the course.