Learn AWS with Python Boto3- Hands On
Learn AWS with Python Boto3- Hands On, available at $39.99, has an average rating of 2, with 29 lectures, based on 45 reviews, and has 755 subscribers.
You will learn about Able to automate AWS cloud You'll learn how to code against AWS API using Python and Boto3! You'll learn how to launch EC2 Instances on AWS using Python and Boto3 You'll learn how to create buckets, upload files, apply lifecycle policies and much more You'll learn to use different aws rekognition services using python and boto3 You will learn services like compute, storage, security, analytics and machine learning of AWS Learn how to use AWS NLP services like Comprehend, Transcribe, Translate, Polly and much more Learn how to do sentiment analysis of a phrase Learn to translate text into different languages Learn to build NER – Named entity recognition Learn to create and use POS tagging This course is ideal for individuals who are Anyone who wants to do AWS cloud automate with python and boto3 It is particularly useful for Anyone who wants to do AWS cloud automate with python and boto3.
Enroll now: Learn AWS with Python Boto3- Hands On
Summary
Title: Learn AWS with Python Boto3- Hands On
Price: $39.99
Average Rating: 2
Number of Lectures: 29
Number of Published Lectures: 29
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Able to automate AWS cloud
- You'll learn how to code against AWS API using Python and Boto3!
- You'll learn how to launch EC2 Instances on AWS using Python and Boto3
- You'll learn how to create buckets, upload files, apply lifecycle policies and much more
- You'll learn to use different aws rekognition services using python and boto3
- You will learn services like compute, storage, security, analytics and machine learning of AWS
- Learn how to use AWS NLP services like Comprehend, Transcribe, Translate, Polly and much more
- Learn how to do sentiment analysis of a phrase
- Learn to translate text into different languages
- Learn to build NER – Named entity recognition
- Learn to create and use POS tagging
Who Should Attend
- Anyone who wants to do AWS cloud automate with python and boto3
Target Audiences
- Anyone who wants to do AWS cloud automate with python and boto3
Amazon AWS, one of the prominent cloud platforms offers a wide range of services like storage, compute, networking, IAM, data analytics, machine learning and many more.
Python is the featured language, it is easy to use, object oriented, which enables the developers to make simplified and functional code for any scale projects. Because of its code readability python gained a lot of popularity in the machine learning and data science domain.
In this course, you’ll learn how to use Boto3 (Python Framework), allows you to automate AWS cloud operations.
Boto3 is an Amazon Web Service SDK (Software Development Kit) enables you to create, configure and manage AWS services. It is easy to use, object oriented based API and access AWS services.
This course is totally practical and industry oriented, as you’ll learn and develop secure, reliable, and scalable Python applications with the help of Boto3 on the AWS cloud.
In the amazing journey, you’ll learn and manage following AWS services with the help of Boto3 like:
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S3 (AWS Storage service)
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Comprehend (AWS Machine Learning service)
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Polly (AWS Machine Learning service)
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Object and scene detection (AWS Machine Learning service)
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Facial analysis (AWS Machine Learning service)
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Celebrity recognition (AWS Machine Learning service)
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Face Comparison (AWS Machine Learning service)
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Text in Image (AWS Machine Learning service)
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Translate (AWS Machine Learning service)
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Transcribe (AWS Machine Learning service)
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Kinesis Analytics (AWS Analytics service)
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IAM (AWS Security service)
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EC2 (AWS Compute service)
In this course, all Amazon AWS services are not covered, but it will give you an overview how to use boto3 and manage AWS services.
This course is for python developer whether you’re a novice or pro who wants to utilize the power of cloud computing to develop machine learning models.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: NLP Project [New Content added]
Lecture 1: Build frontend for ML Application
Lecture 2: Build Backend for ML Application
Lecture 3: Add NLP task (translation)
Lecture 4: Demo: Translation ML app
Lecture 5: Creating Sentiment Analysis ML app
Lecture 6: Demo: Sentiment Analysis ML app
Lecture 7: POS tagging ML App
Lecture 8: Detect entity
Lecture 9: Uploading audio file to S3 bucket
Lecture 10: Creating Transcribe job
Lecture 11: Understanding ASR output
Lecture 12: Adding transcribe feature into web application
Lecture 13: Demo: Transcribe ML app
Chapter 3: Storage(S3)=AWS+Python
Lecture 1: AWS S3
Chapter 4: Compute(EC2)
Lecture 1: AWS EC2
Chapter 5: IAM
Lecture 1: AWS IAM
Chapter 6: Machine Learning=AWS + Python Boto3
Lecture 1: Amazon Comprehend: Detecting Entities
Lecture 2: Amazon Comprehend: Detecting Key phrases
Lecture 3: Amazon Comprehend: Detect Sentiments
Lecture 4: Amazon Polly
Lecture 5: AWS Rekognition: Detect Label(Object and scene detection)
Lecture 6: AWS Rekognition: Detect Face(Facial Analysis)
Lecture 7: AWS Rekognition: Celebrity recognition
Lecture 8: AWS Rekognition: Face comparison
Lecture 9: AWS Rekognition: Text in image
Lecture 10: AWS Translate
Lecture 11: AWS Transcribe
Chapter 7: Big Data Analytics (Kinesis)=AWS + Python
Lecture 1: AWS Kinesis
Instructors
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Pranjal Srivastava
Docker | Kubernetes | AWS | Azure | ML | Linux | Python
Rating Distribution
- 1 stars: 12 votes
- 2 stars: 2 votes
- 3 stars: 4 votes
- 4 stars: 6 votes
- 5 stars: 21 votes
Frequently Asked Questions
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