Let’s Build in Amazon Honeycode
In this course, you will practice hands-on app building in Amazon Honeycode. You will kick things off with a review of foundational Amazon Honeycode concepts and skills. Then, you will get the opportunity to create an app by completing a series of missions. •Course level: Fundamental •Duration: 30 minutes Activities: This course includes a guided tutorial. Course objectives: In this course, you will learn to: •Explain what is meant by an Amazon Honeycode workbook, app, and automation •Set up your tables for successful app building •Describe how you can collaborate in Amazon Honeycode •Build a basic list-and-detail Amazon Honeycode app •Customize an Amazon Honeycode app •Implement a notification in Amazon Honeycode Intended audience: This course is intended for: •People who are interested in building Amazon Honeycode apps Prerequisites: None
Amazon Honeycode Essentials
In this introductory course, you will learn the basics of Amazon Honeycode and become familiar with its interface. The course starts with an overview, followed by a guided tour using a standard template. After exploring the interface, you will continue through each of the main views used to build Amazon Honeycode apps. •Course level: Fundamental •Duration: 20 minutes Activities: This course includes videos. Course objectives: In this course, you will learn to: •Describe the features and value proposition of Amazon Honeycode •Navigate the Amazon Honeycode interface •Identify the main components of Amazon Honeycode—Tables, the Builder, and Automations •Describe the benefits of collaborating in Amazon Honeycode •Design Amazon Honeycode apps using a working-backwards approach Intended audience: This course is intended for:People who are interested in building Amazon Honeycode apps Prerequisites: None
AWS Cloud Economics for Startups
In this course, you will learn about the advantages of using Amazon Web Services (AWS) for your startup. You will recognize similarities of cloud adoption through use cases of other real-world AWS startup customers, while shaping your own particular journey. Course level: Fundamental Duration: 60 minutes Activities: This course includes presentations, use cases, and helpful resources. Course objectives: In this course, you will learn to: – Describe the advantages AWS provides startups. – Identify a pathway for your startup business to benefit economically with AWS. – Recognize AWS resources that help startups. Intended audience: This course is intended for: – AWS Partners – Startup businesses Prerequisites: • None Course outline: Module 1: For Students – How to Use This Course Module 2: Advantages of AWS – Successful Startups in the Cloud – Benefits of AWS at a Glance Module 3: Cloud Value Framework – Introduction to Cloud Value Framework – Cost Savings – Staff Productivity – Operational Resilience – Business Agility Module 4: Build with AWS Case Study – Rightsize Your Services – Make Your Business Elastic – Select the Right Pricing Model – Match Storage Type to Your Need – Design Infrastructure with Budget in Mind Module 5: Thank You – Resources for Startups – Feedback
Machine Learning for Leaders
If you’re a business leader, machine learning can help your teams maximize project results and gain critical insight into your business or customer needs. Learn how in this course.
The Machine Learning Process
This course introduces you to machine learning (ML) by walking you through key phases of the typical ML pipeline, such as problem framing, data cleaning, data visualization and analysis, feature engineering, and model training and evaluation. We will ground the key concepts and processes introduced to you throughout the pipeline in a use case that took place right here at Amazon. Throughout the session, you will also be introduced to The session also introduces different types of ML problems and the various categories of ML algorithms available to you. By the end of this session, our goal is to provide you with a conceptual understanding of the phases of the ML pipeline and an increased familiarity with related key terms and definitions.
Machine Learning for Business Challenges
Machine learning (ML) can help you solve business problems in ways that weren’t possible before—but you’ve got to think big. Listen in as some of Amazon’s own Machine Learning Scientists discuss how to make the most of ML. We’ll cover ML terminology, business problems, use cases, and examples. By the end of this course, you’ll have a better understanding of how to think about machine learning business challenges and decisions.
