AWS Rekognition- Machine Learning Using Python Masterclass

AWS Rekognition: Machine Learning Using Python Masterclass, available at $69.99, has an average rating of 4.1, with 104 lectures, 3 quizzes, based on 46 reviews, and has 5015 subscribers.

You will learn about Successfully use Python to extract text from images and labels Fundamentals of AWS Machine Learning within AWS Gain solid understanding of AWS Rekognition Python intro and advanced programming – all in one PyCharm installation and configuration Using Boto3: Coding in Python to detect objects, faces, and text from images Work with AWS S3 and learn how to write Python code Successfully use SSH to connect to AWS EC2 instance This course is ideal for individuals who are Beginners who are curios about AWS Rekognition or Anyone who wants to learn AWS Machine Learning or Entry level programmers who which to gain solid understanding of using Python for AWS Rekognition It is particularly useful for Beginners who are curios about AWS Rekognition or Anyone who wants to learn AWS Machine Learning or Entry level programmers who which to gain solid understanding of using Python for AWS Rekognition.

Enroll now: AWS Rekognition: Machine Learning Using Python Masterclass

Summary

Title: AWS Rekognition: Machine Learning Using Python Masterclass

Price: $69.99

Average Rating: 4.1

Number of Lectures: 104

Number of Quizzes: 3

Number of Published Lectures: 104

Number of Published Quizzes: 3

Number of Curriculum Items: 107

Number of Published Curriculum Objects: 107

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Successfully use Python to extract text from images and labels

Fundamentals of AWS Machine Learning within AWS

Gain solid understanding of AWS Rekognition

Python intro and advanced programming – all in one

PyCharm installation and configuration

Using Boto3: Coding in Python to detect objects, faces, and text from images

Work with AWS S3 and learn how to write Python code

Successfully use SSH to connect to AWS EC2 instance

Who Should Attend

Beginners who are curios about AWS Rekognition

Anyone who wants to learn AWS Machine Learning

Entry level programmers who which to gain solid understanding of using Python for AWS Rekognition

Target Audiences

Beginners who are curios about AWS Rekognition

Anyone who wants to learn AWS Machine Learning

Entry level programmers who which to gain solid understanding of using Python for AWS Rekognition

In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data – Learn AWS Rekognition: Machine Learning Using Python Masterclass step-by-step, complete hands-on – Bringing you the latest technologies with up-to-date knowledge.

[Latest Update]Note: Python 3.5.1 has been superseded by Python 3.5.6. Added new lectures

Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS certifications?Look no further – learn the Use Python programming to extract text and labels from images using PyCharm, Boto3, and AWS Rekognition Machine Learning.

Gain Solid understanding and application of AWS Rekognition machine learning along with full Python programming introduction and advanced hands-on instruction.

Course Description

Welcome to AWS Rekognition: Machine Learning Using Python Masterclass – A one of its kind course

It is not only a comprehensive course, you are will not find a course similar to this. The flipped classroom model with hand-on learning will help you experience direct  into the course as your begin your learning journey.

Note: AWS Machine learning is not free. Please note that you may incur additional costs from AWS.

In this course, you’ll learn and practice:

1. Successfully use Python to extract labels from images

2. Extract text from images using Python

3. Fundamentals of AWS Machine Learning

4. Gain solid understanding of AWS Rekognition

5. Python intro and advanced programming – all in one

6. PyCharm installation and configuration

7. Using Boto3: Coding in Python to detect objects, faces, and text from images, and much more.  

In this course with over 18+ hours of hands-on instruction, you will also get complete resources, and code where applicable with this course! We’ve built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything!

So, if you would like to:

prepare for the AWS certification exam, this course is for you

gain marketable skills as an IT expert and professional, this course is for you

This course is not designed for intermediate or advanced level students

This AWS Rekognition: Machine Learning Using Python Masterclass is exactly what you need, and more. You’ll even get a certification of completion

What out students say.

See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all of Python intro and advanced concepts and then use Python code to work with AWS Rekognition – Absolutely worth it” – Vikram Sharma

“This is such an awesome course. I loved every bit of it – Wonderful learning experience!”  Nancy Morgan.

Join thousands of other students and share valuable experience

Why take this course?

As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with AWS Rekognition, Python using PyCharm has been phenomenally great! I am excited to share my knowledge and transfer skills to my students. 

Enroll now in AWS Rekognition: Machine Learning Using Python Masterclasstoday and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing — and enjoy bigger, brighter opportunities.

See you in class

Syed & Team ClayDesk

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction – Course Agenda & Meet Instructor

Lecture 2: What You Should Have

Lecture 3: Creating a billing alert

Lecture 4: Amazon Machine Learning – Sage Maker *UPDATE*

Lecture 5: AWS Unified Search – New in AWS Management Console

Chapter 2: AWS Machine Learning

Lecture 1: Your First Machine Learning Project – Complete

Lecture 2: Feedback

Lecture 3: Project Clean Up

Lecture 4: Watch Out For AWS Billing – Check Frequently

Lecture 5: Your Second Machine Learning Project: Upload Data Set to S3

Lecture 6: Creating Training Data Source & Machine Learning Model

Lecture 7: Generating Predictions

Lecture 8: AWS Billing Quick Check

Lecture 9: Download Data Sets For Practice

Chapter 3: AWS Face Rekognition Project

Lecture 1: AWS Biometric Face Recognition

Chapter 4: Machine Learning Fundamentals

Lecture 1: Future of Machine Learning

Lecture 2: Basics of Machine Learning

Lecture 3: Supervised Learning

Lecture 4: Unsupervised Learning

Lecture 5: Deep Neural Networks

Lecture 6: Neural Network Techniques

Lecture 7: Reinforcement Learning

Lecture 8: Reinforcement Learning in action

Chapter 5: Test your knowledge – Take a Quiz

Chapter 6: Core AWS Configurations & Fundamentals

Lecture 1: Machine Learning Fundamentals

Lecture 2: AWS ML Pricing

Lecture 3: Install AWS CLI

Lecture 4: Creating AWS Security Group

Lecture 5: Generating Key Pair

Lecture 6: Creating AWS Instance

Lecture 7: Connecting to AWS Instance with Putty For Windows

Chapter 7: Test Your Knowledge – Take a Quick Quiz

Chapter 8: AWS Rekognition Using Python: In Depth

Lecture 1: Download & Install PyCharm

Lecture 2: Create New AWS User: Programmatic Access

Lecture 3: Using Command Line For User Login

Lecture 4: Install Boto3: Amazon Web Services (AWS) SDK for Python

Lecture 5: Create Images Directory In Pycharm

Lecture 6: Uploading Images To Web Server: WordPress

Lecture 7: Python pprint

Lecture 8: Creating Helpers File

Lecture 9: Fetching Labels From Image

Lecture 10: Extracting Just Labels

Lecture 11: Face Detection With Python

Lecture 12: Using S3 Label Detection

Lecture 13: Compare Faces Using Python

Lecture 14: Compare Face Similarity – Lab2

Lecture 15: Detect Text In Images

Lecture 16: Limits Of Amazon Rekognition

Chapter 9: Knowledge Check

Chapter 10: Python Programming For Complete Beginners

Lecture 1: Python Introduction & Agenda

Lecture 2: Why Program?

Lecture 3: Downloading PyCharm 2020

Lecture 4: Versions of Python – Download

Lecture 5: Downloading Python 3.5

Lecture 6: Python Interpreter & Idle

Lecture 7: Nuts & Bolts of Program

Lecture 8: Python Strings

Lecture 9: Getting Input

Lecture 10: Reading & Writing Files

Lecture 11: Python Expressions

Lecture 12: Creating Your First Program Part 1

Lecture 13: Placing Comments in Code

Lecture 14: Introduction To Strings

Lecture 15: What Are Functions?

Lecture 16: Print Function

Lecture 17: Escape Codes In Python

Lecture 18: Input Function

Lecture 19: Global Variables

Lecture 20: Concept Of Python Dictionaries

Lecture 21: Concept of Lists

Lecture 22: What Are Tuples?

Lecture 23: Introduction to Loops

Lecture 24: Working With Graphics

Lecture 25: Conditional Execution

Lecture 26: IF Statement

Lecture 27: Additional IF Statements

Lecture 28: The While Loop

Lecture 29: Project A

Lecture 30: Project B

Chapter 11: Python Advanced Programming

Lecture 1: Introduction

Lecture 2: Python Refresher

Lecture 3: List Comprehension

Lecture 4: Sets & Dictionaries

Lecture 5: Looping Techniques

Lecture 6: Python Modules

Lecture 7: Python Packages

Lecture 8: Time Functionality

Lecture 9: Graphical User Interface Introduction

Lecture 10: Creating Tk Widget

Instructors

Syed Raza
Best Selling Instructor, Enterprise Architect, 8x AWS, PhD

Qasim Shah
Enterprise Architect, Digitization Expert & Teacher

Ali Bokhari
Teaching Over 300,000 Students With Passion

ClayDesk E-learning
The Knowledge Factory

Rating Distribution

1 stars: 0 votes

2 stars: 3 votes

3 stars: 7 votes

4 stars: 16 votes

5 stars: 20 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!