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Masterclass of AWS-Deep Learning AMI

The AWS Deep Learning AMI (DLAMI) -> A one stop shop for deep learning in the cloud
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8 students
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9.0

CourseMarks Score®

10.0

Freshness

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Feedback

7.5

Content

Platform: Udemy
Video: 2h 55m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 8/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

We analyzed factors such as the rating (0.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.5 / 10
Video Score: 8.0 / 10
The course includes 2h 55m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 14 minutes of 188 Amazon AWS courses on Udemy.
Detail Score: 9.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 tests or quizzes.

Table of contents

Description

Masterclass of AWS-Deep Learning AMI
Learning about deep learning: The DLAMI is a great choice for learning or teaching machine learning and deep learning frameworks. It takes the headache away from troubleshooting the installations of each framework and getting them to play along on the same computer. The DLAMI comes with a Jupyter notebook and makes it easy to run the tutorials provided by the frameworks for people new to machine learning and deep learning. App development: If you’re an app developer and are interested in using deep learning to make your apps utilize the latest advances in AI, the DLAMI is the perfect test bed for you. Each framework comes with tutorials on how to get started with deep learning, and many of them have model zoos that make it easy to try out deep learning without having to create the neural networks yourself or to do any of the model training. Some examples show you how to build an image detection application in just a few minutes, or how to build a speech recognition app for your own chatbot. Machine learning and data analytics: If you’re a data scientist or interested in processing your data with deep learning, you’ll find that many of the frameworks have support for R and Spark. You will find tutorials on how to do simple regressions, all the way up to building scalable data processing systems for personalization and predictions systems. Research: If you’re a researcher and want to try out a new framework, test out a new model, or train new models, the DLAMI and AWS capabilities for scale can alleviate the pain of tedious installations and management of multiple training nodes. You can use EMR and AWS CloudFormation templates to easily launch a full cluster of instances that are ready to go for scalable training.
Preinstalled Frameworks There are currently two primary flavors of the DLAMI with other variations related to the operating system (OS) and software versions: • Deep Learning AMI with Conda (p. 4) – frameworks installed separately using conda packages and separate Python environments • Deep Learning Base AMI (p. 6) – no frameworks installed; only NVIDIA CUDA and other dependencies The Deep Learning AMI with Conda uses Anaconda environments to isolate each framework, so you can switch between them at will and not worry about their dependencies conflicting. For more information on selecting the best DLAMI for you, take a look at Getting Started (p. 4). This is the full list of supported frameworks by Deep Learning AMI with Conda: • Apache MXNet • Chainer • Keras • PyTorch • TensorFlow • TensorFlow 2

You will learn

✓ This Course will help you launch and use the DLAMI. .
✓ Thorough understanding of Deep Learning
✓ AMI details
✓ Configurations

Requirements

• You should be familiar with command line tools and basic Python to successfully run the DLAMI.

This course is for

• Students, knowledge seekers in the relevant field,Software engineers,Developers, Executives

How much does the Masterclass of AWS-Deep Learning AMI course cost? Is it worth it?

The course costs $14.99. And currently there is a 40% discount on the original price of the course, which was $24.99. So you save $10 if you enroll the course now.
The average price is $13.4 of 188 Amazon AWS courses on Udemy.

Does the Masterclass of AWS-Deep Learning AMI course have a money back guarantee or refund policy?

YES, Masterclass of AWS-Deep Learning AMI has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Masterclass of AWS-Deep Learning AMI course, but there is a $10 discount from the original price ($24.99). So the current price is just $14.99.

Who is the instructor? Is Indra Programmer a SCAM or a TRUSTED instructor?

Indra Programmer has created 22 courses that got 465 reviews which are generally positive. Indra Programmer has taught 4,390 students and received a 2.9 average review out of 465 reviews. Depending on the information available, Indra Programmer is a TRUSTED instructor.
An ex-Cisco, GE, HP& JP Morgan Chase.(Data scientist)
Lakshmish academy(Formerly Indira Academy) was found in 2001 with the belief of providing high quality ,in depth courses on Radio diagnosis & Technology, available at affordable price.We strive to serve & change lives by our teaching.We are bunch of Instructors who are Super specialized & Doctorate(PHD) in Computer Science & Data Sciences .We have experience in teaching our subjects for over two decade now .We have helped hundreds of people become champion in the subjects and enabled them to change their lives. Our graduates work at companies like Google, Cisco, and Facebook.The whole effort is for the betterment of students and knowledge sharing.We have been hired to impart the best technical training’s by the companies like GE,Cisco,HP,J P Morgan Chase and Flipkart. We have now focused our time on bringing our classroom teaching experience to an online environment.Join us in this amazing adventure!

I am now Certified instructor for IB Diploma physics (AS and A level -FURTHER  )and teach at various International schools in person besides online teaching across the Globe.

Physics class was always so frustrating.

I’d go to a class, spend hours on homework, and three days later have an “Ah-ha!” moment about how the problems worked that could have slashed my homework time in half.

I’d think,-WHY didn’t my teacher just tell me this in the first place.

So I started tutoring to keep others out of that aggravating, time-sucking cycle. Since then, I’ve recorded tons of videos and written out cheat-sheet style notes and formula sheets to help every math student—from basic middle school classes to advanced college Physics—figure out what’s going on, understand the important concepts, and pass their classes, once and for all.







In 1995, when I was graduating, many said, ‘Programmers are a dime a dozen. Why would an IITian go for such a commodity skill?’




Since we now have probably 10-times more programmers, is it not even more of a ‘commodity skill’?




On the other hand, in Silicon Valley, engineering talent is revered. Guy Kawasaki even suggested valuing startups by adding in $500k for each engineer, and subtracting $250k for each MBA :)




These two points of view seem logical, yet contradict. What gives?




Let me explain using an analogy.




Take the skill of ‘writing’. Clearly, it can’t get more commoditized since practically everyone around us can write.




But then, there are all kinds of ‘writers’.




You have the guy who can’t string together a sentence without grammatical blunders. Then, there is a wide range, from mediocre to awesome. And finally, you have a JK Rowling. Or a Charles Dickens.




Greatness lies in the quality of your art, not in its name.




Saying that ‘I am a programmer’ is like saying ‘I can write’. The question is, how well can you do it?




In most fields, the real game is only at the top. And there is space at the top, for you or for me, because climbing up is hard work, and most give up.




Keep climbing – often, that is all it takes.


9.0

CourseMarks Score®

10.0

Freshness

N/A

Feedback

7.5

Content

Platform: Udemy
Video: 2h 55m
Language: English
Next start: On Demand

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