AWS Machine Learning with Python - eLearning Bundle CourseNew

Programming

Course Details:

Length: 8 courses

Price: $475/person (USD)

Access Length: 6 months

Bulk Pricing: 10+ Contact Us

Course Features:

Instant Access After Purchase

Lecture by Recorded Video

Stop and Start as Needed

Certificate of Completion

Software Lab Included?: No
Cloud Based (requires trial or license)

Delivery Methods:

 Self-Paced Online

Individuals & Groups
@ Your Location


 

Course Overview

AWS Machine Learning with Python - eLearning Bundle: Master Cloud-Powered ML

Welcome to the AWS Machine Learning with Python - eLearning Bundle, your comprehensive pathway to mastering practical machine learning on the Amazon Web Services (AWS) cloud. This bundle is expertly crafted for aspiring Machine Learning Engineers, Data Scientists, Cloud Practitioners, and Developers who want to build, deploy, and manage machine learning models using Python within the powerful AWS ecosystem.

In today's cloud-centric world, the ability to leverage scalable cloud infrastructure for machine learning is a critical skill. This bundle provides a structured, hands-on learning experience that takes you from fundamental machine learning concepts to advanced cloud-based implementations. You'll gain a solid understanding of machine learning basics, including supervised learning, unsupervised learning, neural networks, and an introduction to reinforcement learning. More importantly, you will learn how to integrate these concepts with AWS services.

Dive deep into practical applications with AWS Rekognition for computer vision tasks like image labeling and face detection. You'll master the essential tools for managing your AWS environment, including installing the AWS CLI, setting up security groups, and launching EC2 instances. Furthermore, you'll become proficient in using the Boto3 SDK to interact with AWS services programmatically using Python, ensuring you can build powerful and automated machine learning solutions. This bundle emphasizes hands-on projects, giving you the experience to confidently tackle real-world machine learning challenges on AWS.

What You Will Gain:
  • Foundational Machine Learning Skills: Develop a strong understanding of core ML concepts including supervised, unsupervised, neural networks, and an introduction to reinforcement learning.
  • Practical AWS Integration: Learn how to set up and manage your AWS environment for machine learning, including AWS CLI, EC2 instances, and security groups.
  • AWS Rekognition Expertise: Master AWS Rekognition for advanced computer vision applications like fetching labels from images, face detection, and utilizing S3 for object storage and analysis.
  • Python for AWS ML Development: Become proficient in using Python with the Boto3 SDK to programmatically interact with AWS machine learning services.
  • End-to-End ML Project Experience: Gain hands-on experience by building your first machine learning project on AWS, from data preparation to model deployment.
  • Cloud Cost Management: Understand how to monitor and manage AWS billing, ensuring cost-effective machine learning operations.
  • Hands-on Tooling: Learn to download and install essential development tools like PyCharm for your AWS ML projects.
Why This Bundle?

The AWS Machine Learning with Python - eLearning Bundle is perfect for professionals who want to bridge the gap between machine learning theory and practical cloud deployment. If you're looking to leverage the scalability and power of AWS for your ML initiatives, build real-world computer vision applications, and manage your cloud resources effectively, this bundle offers the comprehensive training you need. Transform your career by becoming proficient in deploying and scaling machine learning solutions on the world's leading cloud platform.

Build and Deploy Intelligent Systems on AWS. Enroll in the AWS Machine Learning with Python - eLearning Bundle today and accelerate your cloud-based ML journey!

Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.

 


Course Notes


Important Course Information
This is a Lecture-Only eLearning Course. If you would like to practice any hands-on activities, you must use your own software.

Course Objectives:
  • Grasp Machine Learning Fundamentals:
    • Understand the core concepts of machine learning, including supervised, unsupervised, neural networks, and an introduction to reinforcement learning.
  • Set Up and Configure AWS Environment for ML:
    • Learn to install and use AWS CLI, create security groups, and launch EC2 instances for machine learning workloads.
  • Implement Machine Learning Projects on AWS:
    • Gain hands-on experience in building and deploying your first machine learning model and project on the AWS platform.
  • Utilize AWS Rekognition for Computer Vision:
    • Master the use of AWS Rekognition for tasks such as fetching labels from images, performing face detection, and leveraging S3 for label detection.
  • Develop AWS ML Applications with Python and Boto3:
    • Become proficient in programming with Python and the Boto3 SDK to interact with and automate AWS machine learning services.
  • Manage AWS Resources and Billing:
    • Understand how to monitor and manage AWS billing and efficiently create training data sources for machine learning projects.
  • Prepare Your Development Environment:
    • Learn to download and install necessary tools like PyCharm for seamless AWS machine learning development.
Target Audience
  • Aspiring Machine Learning Engineers: Individuals seeking to deploy and manage ML models on a cloud platform.
  • Data Scientists: Professionals who want to integrate their data science skills with cloud computing, specifically AWS.
  • Cloud Developers: Developers familiar with AWS who wish to extend their expertise into machine learning applications.
  • Python Developers: Programmers looking to apply their Python skills in the context of cloud-based machine learning.
  • IT Professionals: Those interested in understanding and managing machine learning infrastructure on AWS.
  • Anyone with basic programming knowledge (preferably Python) who wants to learn how to build and deploy machine learning solutions on Amazon Web Services.
Key Features
  • Audio Narration
  • Video
  • Inline Activities
  • Exercises
  • Quizzes
  • Supplemental Resources
Languages
  • Audio/Video/Course Text: English.
  • Subtitles (Closed Caption): N/A.
Course Duration
  • AWS Machine Learning with Python: 5 hrs 18 min
  • Essential Career Skills Pack: 2 hrs 23 min

 


eLearning Training Delivery Method

Learn at Your Own Pace

This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.

How It Works

  • A Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.
  • Lecture utilizing video and recorded screenshots
  • 6-month subscription length
  • Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

 


Course Topics

AWS Machine Learning with Python, Part 1 of 4: Your First Project

Course Duration - 1 hr 29 min

This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. The topics covered include: Getting Started with machine learning, creating your first model, the first machine learning project, how to navigate AWS Billing, and how to create training data.

Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Course Objectives:
Course Objectives:
  • Get started with machine learning fundamentals
  • Create your first model using AWS
  • Monitor AWS billing frequently
  • Create training data sources for machine learning


 

AWS Machine Learning with Python, Part 2 of 4: Fundamentals

Course Duration - 1 hr 16 min

This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. Topics covered in this course are Machine Learning Basics, Unsupervised learning, neural network techniques, and an introduction to reinforcement learning.

Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Course Objectives:
Course Objectives:
  • Explain machine learning basics
  • Implement unsupervised learning techniques
  • Apply neural network techniques
  • Define reinforcement learning concepts


 

AWS Machine Learning with Python, Part 3 of 4: Configurations

Course Duration - 1 hr 7 min

This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. The topics covered include AWS Machine Learning, installing AWS CLI, creating Security groups, and launching an EC2 instance.

Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Course Objectives:
Course Objectives:
  • Apply AWS Machine Learning fundamentals
  • Install AWS CLI for managing AWS services
  • Create security groups in AWS
  • Launch an EC2 instance


 

AWS Machine Learning with Python, Part 4 of 4: Rekognition

Course Duration - 1 hr 26 min

This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. This course covers how to Download and install PyCharm, Install Boto 3 and the AWS SDK, Fetch labels from images, use Face detection as well as using an S3 for label detection.

Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Course Objectives:
Course Objectives:
  • Download and install PyCharm
  • Install Boto3 and the AWS SDK for Python
  • Fetch labels from images using AWS Rekognition
  • Implement face detection with Python
  • Use S3 for label detection

 


 


Essential Career Skills Pack


Productivity and Time Management

Course Duration - 30 min

It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.

Course Objectives:
Course Objectives:
  • Set your priorities to better manage your time
  • Improve your productivity by sharpening your focus and multitasking effectively
Detailed Course Outline:
Detailed Course Outline:
  • Productiity & Time Management
  • Prioritization
  • Getting Things Done
  • Procrastination
  • Multitasking & Focus
  • Summary


 

Basic Digital Skills

Course Duration - 13 min

With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.

Course Objectives:
Course Objectives:
  • Recall the essential digital skills framework
  • Elaborate on the toolkit of essential digital skills
  • Identify how to develop or improve your digital skills
Detailed Course Outline:
Detailed Course Outline:
  • The Essential Digital Skills Framework
  • The Toolkit of Essential Digital Skills
  • Developing Digital Skills
  • Summary


 

4 Ways to Boost Creativity

Course Duration - 30 min

The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.

Course Objectives:
Course Objectives:
  • Define creativity
  • Think outside the box
  • Develop the right mental attitude
  • Leverage the power of groups
  • Ensure managers make it happen
Detailed Course Outline:
Detailed Course Outline:
  • What is Creativity at Work?
  • Learn to Think Outside the box
  • Develop the Right Mental Capacity
  • Laverage the Power of Groups
  • Ensure Managers Make It Happen
  • Summary


 

The 11 Essential Career Soft Skills

Course Duration - 1 hr 10 min

Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.

Course Objectives:
Course Objectives:
  • Understand how to be a great communicator
  • Become a stronger listene
  • Appear professional to co-workers and bosses of all ages
  • Avoid common career blunders that often end careers
  • Manage expectations for bosses and colleagues
  • Position yourself for promotions
  • Make technology your asset, even if you are afraid of technology
  • Avoid the Not My Job Syndrome
  • Develop EQ to Match Your IQ
  • Develop leadership qualities
Detailed Course Outline:
Detailed Course Outline:
  • Introduction
  • The Soft Tech Savvy Way to Always Be Essential
  • Not My Job, And I Am Happy to Do It
  • You Can Become a Master Communicator
  • Feedback Video for The 11 Essential Career Soft Skills
  • Become a Leader Without the Title or Formal Authority
  • Your EQ Will Beat a Higher IQ
  • Building Your Winning Team
  • Make Every One of Your Seconds Count
  • Unleash Your Inner Anthony Robbins
  • Avoid Being Uncool
  • Clothes Can Still Make or Break Your Career
  • Conclusion The 11 Essential Career Soft Skills
  • Extra: Developing Your Career Secret Sauce

 



 


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