Machine Learning with AWS (Udemy.com)
Sagemaker|Comprehend|DeepLens|Lex|Polly|Transcribe|Translate|Celebrity recognition|ObjectAndSceneDetection|TextInImage
Created by: Pranjal Srivastava
Last updated July 2022
What you will learn
- Amazon Sagemaker to build, train, and deploy machine learning models at scale
- Amazon Comprehend for natural Language processing and text analytics
- Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
- Amazon Polly to turn text into lifelike speech using deep learning
- Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
- Amazon Transcribe for automatic speech recognition
- Amazon Translate for natural and accurate language translation
How it compares
Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:
- Rating3.5 out of 5higher than 3% of them
- Reviews56#136 of 156 by number of reviews
- Length4.1 hoursshorter than 71% of them
- Last updatedJuly 2022earlier than 54% of them
Course Description
Machine learning engineer and data scientist are the two hottest jobs of 2020. To grab this job opportunity one should apply machine learning skills to solve complex problems of the real world.
Here in this course you'll going to learn various machine learning services provided by Amazon AWS and able to kick start your career. Anyone can enroll this learning path whether you're fresher or experienced.
This course is technology-driven will help you in seeking a lucrative job in machine learning domain. Enroll this course and showcase your skill set to the world.
In this learning pathway, you'll able to use Amazon AWS fundamental services and also integrate them in your Web, Android, IoT and Desktop Applications
Machine Learning Services of AWS which you'll deploy on the AWS cloud are:
Amazon Sagemaker to build, train, and deploy machine learning models at scale
Amazon Comprehend for natural Language processing and text analytics
Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
Amazon Polly to turn text into lifelike speech using deep learning
Amazon Rekognition has a wide range of features like Object and scene detection, Image moderation, Facial analysis, Celebrity recognition, Face comparison, Text in image and much more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
As mentioned earlier, this course is industry oriented, therefore it has lots of lot projects which helps you in applying machine learning skills. There is a section, completely focuses on AWS AutoML if you think that you're newbie, don't know how to ML algorithms. Don't worry for such scenario, AutoML plays a vital role. It will help you to job done in autopilot mode. Other than this you'll also learn to develop your chatbot and virtual assistant for your sites, helping your customers 24*7.
For Python Developers, who want to apply their machine learning skills on a higher scale than why to waste money on buying the resources. Use the power of cloud computing and implement all your machine learning skills with the help of Boto3, a python framework for managing AWS cloud services.
All the best !!!
Instructor Details
- 3.5 Rating
56 Reviews
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
More courses by Pranjal Srivastava
COMPLETE AWS Masterclass - From Zero to Hero (2024)
4.0 (224 Reviews)
Provider: Udemy
Time: 9.1h
$54.99
Build REST API using Python, Flask and Postman (2023)
4.0 (159 Reviews)
Provider: Udemy
Time: 1.7h
$11.99
Learn Git, Github and Github Actions for DevOps CI/CD (2023)
3.6 (156 Reviews)
Provider: Udemy
Time: 1.7h
$12.99
Complete DEVOPS Pipeline with Python Web App AWS Devops CICD (2022)
3.9 (139 Reviews)
Provider: Udemy
Time: 3.3h
$11.99
Azure Solution Architect Certification- AZ 300 and AZ 303 (2022)
3.6 (106 Reviews)
Provider: Udemy
Time: 9.6h
$64.99
Master Containerization with AWS: Amazon ECS, EKS, Fargate (2022)
4.0 (96 Reviews)
Provider: Udemy
Time: 2.3h
$11.99
More Machine Learning courses
Automated Machine Learning with AutoGluon Library in Python (2023)
4.8 (157 Reviews)
Provider: Udemy
Time: 5.5h
$84.99
Complete A.I. & Machine Learning, Data Science Bootcamp (2026)
4.7 (30,982 Reviews)
Provider: Udemy
Time: 44h
$129.99
Bayesian Machine Learning in Python: A/B Testing (2026)
4.7 (8,053 Reviews)
Provider: Udemy
Time: 10.4h
$109.99
[2026] Machine Learning: Natural Language Processing (V2)
4.7 (7,251 Reviews)
Provider: Udemy
Time: 23.5h
$99.99
Reviews
By Dan Haugdahl on 4/12/2021
Content was really good, but deliver of content was subpar. Seemed like the presenter got off track at times, mumbled his words, was hard to follow at times.
By Sourav Mukherjee on 11/19/2019
Complete nonsense, the guy knows nothing. Waste of time and money. Like to request for refund, let me know a way-out.
By Lemu Chi on 5/15/2019
Here we learn about how we can deploy machine learning applications on cloud.
By Robert Leon on 4/27/2019
Topics are up to date and relevant for deploying with actual code on aws. It was an incredible learning experience.
By Mrityunjay Pandey on 2/21/2019
useful for machine learning aspirants trying to do something in real life scenario like on cloud.
By Maciej Hoch on 12/27/2018
content covered by the initial 2 lectures is so far on such high level that there is no oxygen to breath - unacceptable Still vary basic - sounds like author does not always know the subject beyond reading labels of the particular output. Pity
By Rebecca Lim on 12/19/2018
While not the worst course I have seen so far, it comes close to it. Critical details on how the instructor set up his machine and the tooling used to achieve his worked examples were seriously lacking. It would be impossible to reproduce the results of the examples made. If the instructor wants to improve he should review the video from Stephane Maarek on serverless lambdas.
By Ishwar Bharbhari on 11/22/2018
THis is a good introductory course, the presenter is reasonably organized and stays on point.
By Larry Chuon on 11/18/2018
I like your course. It is one of its kind to offer full coverage of AWS ML. However, you only touched the surface; hence the 4.5 stars. It would be an even better course if you had some case studies and real-life hands-on projects far beyond the sample codes to integrate the pieces together. Perhaps, you want to consider adding a teaser project as a bonus and come up with another deep dive course afterward. I will certainly be interested in taking it. Keep up the good works.
By Vikram Lalwani on 11/13/2018
emphasis on machine learning services and tools on amazon cloud.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 70 / 100











![[2026] Machine Learning: Natural Language Processing (V2)](/programming/machine-learning/images/4294434_daf2_5.jpg?v=1789268237)
