We’ve seen ‘smart’ robots and machines in science fiction for years - machines that can think and respond to unexpected information the way human beings do. In this class you’ll learn how computer scientists are helping machines actually learn, so that they can do everything from talking to us to driving our cars. You'll build and train apps using your own data sets and cutting edge industry tools like IBM's Watson to recognize images, make decisions, and understand text.
Learn to Use Artificial Intelligence!
This course will introduce you to the topics of Artificial Intelligence and Machine Learning through engaging in activities that show how AI and Machine Learning are used in the real world. Each module will walks through a process of discovery; exploring, building, and testing different Machine Learning programs using Scratch and IBM's Watson platform. By exploring with hands-on learning and reflecting on projects, you will explore the benefits and challenges of using AI and Machine Learning. The final module of the course will engage in predicting and generating ideas about possible and probable future real-world uses of the technology.
Learning Outcomes
Method of Instruction
This course is intended for instructor delivery, either in-person or remotely. All instructional resources (lesson slides, handouts, quizzes, assessments, etc) can be downloaded for individual teacher customization and use. Should you have any questions regarding the curriculum, please do not hesitate to contact Digital Media Academy Support through the LMS.
Teacher Guide | Lesson Plans
The Teacher Guide is designed for the purpose of lesson planning and contains all lesson plans, and activity timing, and provides information on all student resources associated with this course.
Curricular Connections Guide
Science, Language Arts, and Math curriculum integration builds student competency in core academic subjects while addressing essential, 21st-century technology skills. This Curricular Connections Guide is designed to spark your imagination of how to bring this course to life in your own classroom.
Required Materials & Equipment
- A Computer or Tablet with internet access (for Scratch and Watson programs)
- An IBM Watson account
- Digital or Paper Notebook
Career Pathways
AI Engineer, Computer Scientists, Programmer, Web Developer, App Developer, Software Designer (in major industries: Health, Manufacturing, Financial, Arts, Entertainment, Retail).
Here is the course outline:
Getting StartedRead me first. 1 section
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Teacher ResourceCovering course description, learning outcomes, teacher guides, required materials and equipment, career pathways, and standards alignment 15 sections
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Module 1: The Future is Here!In this module, you'll play a duet with a computer, see how AI can be used to make personalized playlists, and discover a bit about how machines learn. 2 sections
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Module 2: Learning the RulesLearn how to tell the difference between a traditional computer program and machine learning. 2 sections
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Module 3: DIY Chat BotsLearn to program your own AI chatbot by teaching it how to recognize nice words and not nice words. 1 section
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Module 4: Helping Machines LearnYou've taught a program to recognize text, now teach one to recognize images. 2 sections
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Module 5: A Deeper Dive Into AIIn this module you will learn about and build 2 more machine learning programs. 2 sections
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Module 6: Making Decisions with AIArtificial intelligence can be used to make decisions. Your job is to make sure it makes good ones. 1 section
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Student ShowcaseNow it's time to show off your projects! 2 sections
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Completion
The following certificates are awarded when the course is completed:
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LSSW Course Completion Certificate |