Amazon Machine Learning LiveLessons is designed to provide a solid foundational understanding of the data preparation and evaluation that’s necessary to run predictive analysis with Machine Learning models. The course covers the concepts necessary to understand Amazon Machine Learning and teaches the user how to leverage the benefits of predictive analysis. Usage scenarios are provided to inspire viewers to create their own value-added services on top of Amazon Machine Learning.
Amazon Machine Learning LiveLessons contains more than 20 independent video lessons totaling more than 3 hours of instruction with demos, interactive labs, and detailed slide explanations. Hands-on labs with Amazon Machine Learning are included to provide necessary context and experience to create pragmatic applications. Viewers will walk away with a solid understanding of how Amazon Machine Learning is structured and how to apply it in their own scenarios.
Asli Bilgin’s knowledge comes from her unique experience working at Amazon and as a Machine Learning consultant for her business, Nokta Consulting. She uses her professional skills for her personal vintage jewelry business, oyacharm. She is an award-winning cloud computing executive who has more than two decades of experience working for companies such as Dell, Microsoft, and Amazon. She specializes in IT transformation and modernization leveraging disruptive technologies. At Amazon, Asli created, launched, and ran the global Software as a Service program and ran the Financial Services IT Transformation practice for AWS Professional Services. At Microsoft, she led the cloud and web strategy for 80 countries in the Middle East and Africa, based out of Dubai. In her early career, Asli served as a software developer, technical manager, and architect for large and complex enterprise projects.
Topics include
Module 1: Amazon Machine Learning Basics
Module 2: Amazon Machine Learning Data Architecture
Module 3: Data and Schema Configuration
Module 4: Machine Learning Visualization and Modeling
Module 5: Predictions with Amazon Machine Learning
Learn How To
- Understand the concepts, taxonomy, and principles behind Machine Learning
- Get started with the core Amazon Machine Learning service
- Solve for personalization, search, marketing, finance, productivity, and management efficiency using AML
- Configure a schema, and set up a data source using “small data” in S3
- Use data insights and visualization tools
- Leverage Features, Targets, Observations, Labeled Data, Unlabeled Data, and Ground Truth to prepare historical data for predictive analysis
- Prepare data for use in a regression model and a multi-class model
- Evaluate and refine Amazon ML model
- Use predictions
Who Should Take This Course
IT technologists and hobbyists, computer science students, and domain experts who want to understand the basic principles of Amazon Machine Learning and its application and receive a hands-on practical demonstration of using Amazon Machine Learning. You don’t have to be a data scientist or professional developer to benefit from this course. In fact, small business owners who have a firm handle on their own business data would find value in the examples used, which is a retail business and small dataset.
Course Requirements Familiarity with technology consoles and administrative interfaces would be very helpful. A rudimentary understanding of the Amazon Web Services platform would be a bonus, but not necessary to learn from this course. A basic understanding of how data and its schema is structured digitally would be an asset to understanding the concepts of Machine Learning.
Module Descriptions
Module 1, “Amazon Machine Learning Basics,” discusses understanding how Amazon ML works and how you can frame problem sets. By the end, the first data set will be uploaded.
Module 2, “Amazon Machine Learning Data Architecture,” covers how to set up the source from SQL Server. The data to be downloaded will be provided, so SQL Server does not need to be installed.
In Module 3, “Data and Schema Configuration,” historical sales data is used to predict the future price of an item. “Gotchas” are showcased so a solid starting machine learning model can be built.
Module 4, “Machine Learning Visualization and Modeling,” uses data insights to further refine the model.
Module 5, “Predictions with Amazon Machine Learning,” examines predictions and determining future data. The model’s performance is analyzed, and real-time and batch predictions are applied. Finally, key concepts, questions to consider, and next steps are covered.
About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.
Meet your instructor
Asli Bilgin
About MIT horizon
MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.
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What is a Bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
In this bootcamp we start by learning the key project management processes, roles, mechanics, and philosophies behind Scrum. This will provide the basis for all understanding Agile in its purest form, exploring Why, Who, How, and finally What Scrum looks like applied in the real world. From understanding the agile team members, like scrum master and product owner, to the important differences in lean and agile processes
Scrum and Agile are often considered synonymous, and there is a good reason. Scrum embodies the simplest and most pure approach to managing project work at the team level. Scrum is employed by over half of all Agile practitioners across all industries. While agile may have started in software development, many industries now use an agile methodology to deliver their work. Development teams around the world are now using Kanban boards and assigning strong product owners to direct self-organizing teams to deliver on prioritized product backlogs. And nearly every new product has some sort of IT component and goes through an agile development lifecycle.
- Today nearly 100% of IT organizations use Agile and many other industries are quickly following
- The likelihood of being on a Scrum or Scrum-like project is quickly approaching 50/50 or better over time.
While this course will not make you an agile certified practitioner (PMI-ACP), or certified scrum master (CSM), it offers a more fundamental agile certification based on agile principles and how scaled agile is applied in industry today.
Upon successful completion of this course, learners can earn 10 Professional Development Unit (PDU) credits, which are recognized by the Project Management Institute (PMI). PDU credits are essential to those looking to maintain certification as a Project Management Professional (PMP).
This course can be used towards completion of a Professional Certificate in Agile Project Management.
What You Will Learn:
- Why Agile is taking over: history, case studies, and proof Agile works better
- Who uses Agile based on industry scale, stakeholders, and engineering
- How to run a successful Scrum team for speed, innovation, leadership, and control
- Scrum team makeup, user story writing, sprint planning, execution, and retro tools
- What Scrum looks like at scale, its alternatives, and how to avoid pitfalls over time

Professional Certificate in Agile Project Management

John Johnson
What is a Bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python bootcamp will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.
Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.
What You Will Learn:
- What Python is and why it is useful
- The application of Python to Data Science
- How to define variables in Python
- Sets and conditional statements in Python
- The purpose of having functions in Python
- How to operate on files to read and write data in Python
- How to use pandas, a must have package for anyone attempting data analysis in Python.
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Joseph Santarcangelo
Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.
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Susan Sapp
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Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
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Amanda McKinney
Who can take this course?
Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
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Description
Written for programmers with a background in high-level language programming, this LiveLesson applies the Deitel signature live-code approach to teaching programming and explores the Java™ language and Java™ APIs in depth. The LiveLesson presents concepts in the context of fully tested programs, not code fragments. The LiveLesson features hundreds of complete Java™ programs with thousands of lines of proven Java™ code, and hundreds of tips that will help you build robust applications.
What you Will Learn
Start with an introduction to Java™ using an early classes and objects approach, then rapidly move on to more advanced topics, including GUI, graphics, exception handling, lambdas, streams, functional interfaces, object serialization, concurrency, generics, generic collections, JDBC™ and more. You’ll enjoy Deitels’ classic treatment of object-oriented programming and the object-oriented design ATM case study, including a complete Java™ implementation. And new to this LiveLesson is detailed coverage of JShell, Java 9’s REPL (Read-Eval-Print-Loop) for interactive Java. When you’re finished, you’ll have everything you need to build industrial-strength object-oriented Java applications.
Practical, Example-Rich Coverage of:
- Java™ SE 8 and SE 9
- JShell, Java 9’s REPL (Read-Eval-Print-Loop) for interactive Java
- Lambdas, Streams, Functional Interfaces with Default and Static Methods
- Classes, Objects, Encapsulation, Inheritance, Polymorphism, Interfaces
- Swing and JavaFX GUIs; Graphics
- Integrated Exception Handling
- Files, Streams, Object Serialization
- Multithreading and Concurrency for Optimal Multi-Core Performance
- Generics and Generic Collections
- Database (JDBC™, SQL and JavaDB)
- Using the Debugger and the API Docs
- Industrial-Strength, Object-Oriented Design ATM Case Study and more.
Introducing the Java Platform Module System (JPMS)—Java 9’s most important new software-engineering technology. Modularity—the result of Project Jigsaw—helps developers at all levels be more productive as they build, maintain and evolve software systems, especially large systems. The key goals of JPMS include: reliable configuration, strong encapsulation, scalable Java Platform, greater platform integrity, and improved performance.
JShell is one of Java’s most significant new learning, discovery and developer-productivity-enhancement features since Java’s inception 20+ years ago. JShell—Java’s REPL (read-evaluate-print loop) provides a fast and friendly environment that enables you to interactively explore, discover and experiment with Java language features and its extensive libraries.
Who should take this course?
Programmers experienced in a high-level programming language and interested in building industrial-strength applications in Java
Course requirements
Familiarity with any high-level programming language, including C, C++, C#, JavaScript, etc.
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