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Stone River Elearning – AWS Rekognition Machine Learning using Python
Stone River Elearning – AWS Rekognition Machine Learning using Python
Use Python programming to extract text and labels from images using Pycharm, Boto3, and AWS Rekognition Machine Learning
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.
Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS cetifications? 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.
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:
- Successfully use Python to extract labels from images
- Extract text from images using Python
- Fundamentals of AWS Machine Learning
- 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, and much more….
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
Who this course is for:
- Beginners who are curious 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
Course Curriculum
Introduction
- Introduction – Course Agenda (2:13)
- What You Should Have (1:57)
- Creating a billing alert (5:18)
- Amazon Machine Learning – Sage Maker (5:30)
- AWS Management Console (4:05)
AWS Machine Learning
- Complete Machine Learning run through (18:23)
- Your First Machine Learning Project (18:23)
- Machine learning project cleanup (2:37)
- Watch Out For AWS Billing – Check Frequently (1:57)
- Your Second Machine Learning Project Upload Data Set to S3 (8:41)
- Creating Training Data Source & Machine Learning Model (10:27)
- Generating Predictions (7:55)
- Quick check on billing (1:22)
Machine Learning Fundamentals
- Machine learning basics (7:50)
- Supervised Learning (8:46)
- Unsupervised Learning (9:55)
- Deep Neural Networks (13:59)
- Neural Network Techniques (20:50)
- Intro to Reinforcement Learning (6:19)
- Reinforcement Learning in Action (6:48)
Core AWS Configurations & Fundamentals
- AWSMachine Learning Fundamentals (12:28)
- AWS ML Pricing (2:11)
- Install AWS CLI (12:45)
- Creating AWS Security Group (9:18)
- Generating Key Pair (4:44)
- Creating AWS Instance (14:39)
- Connecting to AWS Instance with Putty For Windows (9:41)
AWS Rekognition Using Python: In Depth
- Download & Install PyCharm (8:34)
- Create a new user – programmatic access (4:58)
- Using Command Line For User Login (3:56)
- Install Boto3: Amazon Web Services (AWS) SDK for Python (5:46)
- Create Images Directory In Pycharm (3:15)
- Uploading Images To Web Server (3:10)
- Python Pprint (2:14)
- Creating Helpers File (3:28)
- Fetching lables form image (12:32)
- Extracting just labels (4:11)
- Face Detection With Python (13:58)
- Using S3 Label Detection (7:12)
- Limits Of Amazon Rekognition (5:22)
Python Programming For Complete Beginners
- Python Introduction & Agenda (11:23)
- Why Program? (14:12)
- Downloading Python 3.5 (10:43)
- Python Interpreter & Idle (14:22)
- Nuts & Bolts of Program (14:57)
- Python Strings (18:09)
- Getting Input (17:09)
- Reading & Writing Files (21:09)
- Python Expressions (13:00)
- Creating Your First Program Part1 (11:52)
- Creating Your First Program Part2 (14:19)
- Placing Comments in Code (11:53)
- Introduction To Strings-Part1 (10:02)
- Introduction To Strings-Part2 (10:01)
- What Are Functions? (19:03)
- Print Function (5:19)
- Escape Codes In Python (10:52)
- Input Function (18:40)
- Global Variables (8:46)
- Concept Of Python Dictionaries (16:55)
- Concept of Lists (16:10)
- What Are Tuples? (13:48)
- Introduction to Loops (21:20)
- Working With Graphics (10:25)
- Conditional Execution (9:56)
- IF Statement (14:29)
- Additional IF Statements (12:15)
- The While Loop (13:49)
- Project A (18:19)
- Project B (13:42)
Python Advanced Programming
- Introduction (6:02)
- Python Refresher (5:01)
- List Comprehension (20:05)
- Sets & Dictionaries (17:08)
- Looping Techniques (12:52)
- Python Modules (12:25)
- Python Packages (14:35)
- Time Functionality (13:32)
- Graphical User Interface Introduction (4:15)
- Creating Tk Widget (17:13)
- Working With Buttons and Labels (18:07)
- Python Message Box (17:32)
- Radio Button Implementation (8:49)
- Data Entry Widget Creation (11:40)
- Working With Oval Objects (19:51)
- POST and GET Methods (13:51)
- Advanced File Operations (12:33)
- Accessing Internet With Python (12:03)
- Turtle Star (15:14)
- Random Walk (8:58)
- Creating Multimedia (16:51)
- Text Input-Part 1 (14:02)
- Text Input-Part 2 (15:40)
- Networking With Python (11:40)
- Python Debugger (15:02)
- Advanced Project A (7:49)
- Advanced Project B (19:55)
Proof Content
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Archive: https://archive.ph/1jEz7
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