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Free Course
Develop a foundational understanding of the Artificial Intelligence of Things (AIoT) ecosystem in large enterprises.
Estimated time
Approx. 2 Months
Skill level
Intermediate
Prerequisites
See prerequisites in detail
In collaboration with
About this course
Immerse yourself in the full lifecycle of AIoT-enabled products and solutions by exploring AIoT use cases, designing a business model, creating a development plan, and operating the AIoT system. This free course offers a practical approach to maximizing the benefits of AIoT technologies for your current business, product, or solution—with real-life examples, best practices, and a practical toolkit.
What you will learn
Introduction to AIoT
- Understand the basic concepts of AIoT technologies
- Define what AIoT is and the key elements of the AIoT Framework
- Explain why the AIoT Framework is relevant
Business Strategy
- Apply the key elements of the AIoT Playbook to evaluate several types of AIoT use cases: the Digital OEM Model, the Digital Equipment Operator Model, the Platform Model and the Hybrid Model
- Apply an appropriate business strategy based on use case and business requirements
- Determine the scalability of a business model for a given use case based on identifying where it lies on the AIoT short tail and long tail continuum
Business Execution
- Plan and validate how to create, deliver, and capture value from an AIoT product/solution using Ignite AIoT business model
- Convert the AIoT business model into an Agile story map to determine the scope of projects required to develop the AIoT product
- Differentiate three types of sourcing strategies and their common challenges, along with best practices to manage the procurement process: Internal Development, Acquire & Integrate and Turnkey Solution
Technical Execution
- Identify technical requirements to develop and implement AI, IoT, and Digital Twin technologies
- Apply data strategies in the AIoT system design to optimize the data-driven learning capabilities through the development process
- Design the architecture of AIoT products by using the principles of Agile V-Model
- Apply the concepts of Continuous Integration / Continuous Delivery (CI/CD) to develop, test and deploy AIoT systems
- Identify the AIoT-related trust and security challenges and how DevSecOps works in a variety of use case
Case Studies
- Evaluate how organizations implement a variety of AIoT buisness models to solve product/solution requirements, using real-world case studies
Prerequisites and requirements
Familiarity with the basic concepts of project management principles/practices.
See the Technology Requirements for using Udacity.
Why take this course?
This foundational course on the Artificial Intelligence of Things (AIoT) provides new and experienced project managers with the skills and knowledge to adapt their management practices for innovative products and solutions that incorporate AI. This course is also beneficial for those seeking to learn and expand their understanding of AIoT within the context of enterprise organizations. In this course you will learn the frameworks and business models used for evaluating new AIoT products and solutions. You will also learn about scaling your businesss and applying your stills to map product/solution lifecycles and customer journeys. Finally, you will take a deep dive into the business and technical implementation of large-scale AIoT initiatives with many real-world examples and use cases.
Learn with the best.
Dirk Slama
Vice President, Corporate Department Internet of Things and Digitization
Brian Cruz
Head of Core AI