Course Report
Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.
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Course Features
Duration
9 hours
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
9 hours
Course Description
Highlights
Pedagogy
Top 1 Percentile
Hands on training
Top 10 Percentile
Rating & Reviews
Top 30 Percentile
Parameters
Pedagogy
This comprehensive course equips you with all major AWS skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations. An exceptional course in AWS, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Hands on training
This course stands out as one of the top 10 percentile options in AWS, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.
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Rating & Reviews
This highly acclaimed course is among the top-rated in AWS, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in AWS.
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Course Overview
Virtual Labs
Personlized Teaching
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Minimum one year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud
Experience in handling ML/deep learning frameworks
Basic understanding and ability to express the purpose of the Machine learning algorithms
Ability to perform basic hyperparameter optimization
Ability to incorporate operational and deployment practices
What You Will Learn
Select and justify the appropriate Machine Learning (ML) approach for a given business problem
Identify appropriate AWS services to implement ML solutions
Design and implement scalable, cost-optimized, reliable, and secure ML solutions
Target Students
Data Scientists
Business Decision Makers
Developers
Data Platform Engineers
One who is aspired to build a career in ML
Course Reviews
Average Rating Based on 5 reviews
100%