Encouraging Workplace Sustainability with Google Teachable Machine Course
English
30-Day Money Back Guarantee
Full Lifetime Access
Self-Paced
Finish in
35 mins!
Finish in
35 mins!
Made for for
Employees
only
Employees
only
Certificate
of Completion
of Completion
Mobile -
Friendly
Access
Friendly
Access
What you'll learn
Understand the importance of integrating sustainability into workplace practices.
Learn how to use Google Teachable Machine to create no-code ML models.
Develop machine learning models to identify plastic, food, and biomedical waste.
Gain skills in labeling datasets and training models for eco-friendly solutions.
Test, refine, and export ML models for real-world workplace deployment.
Apply AI tools to automate and enhance sustainability initiatives in offices.
Foster innovation in environmental responsibility using accessible technologies
Skills covered in this course
Description
Encouraging Workplace Sustainability with Google Teachable Machine is a hands-on course designed to help individuals and organizations integrate sustainable practices into the workplace using accessible machine learning tools. You’ll explore how Google’s Teachable Machine - a no-code AI platform- can be used to promote eco-conscious behavior, such as automating waste identification for recycling initiatives.
The course begins with an overview of workplace sustainability challenges and the role technology can play in solving them. You’ll then dive into Teachable Machine’s intuitive interface, learning how to create and train custom models without prior programming experience. From identifying plastics to food and biomedical waste, you'll gain the skills to build AI tools that support smarter, greener decisions at work.
Through interactive lessons on labeling data, testing model accuracy, and exporting for deployment, you’ll leave with a working knowledge of how to implement real-world solutions that encourage environmental responsibility.
Whether you're a sustainability advocate, office manager, or curious learner, this course offers a practical entry point into the future of eco-friendly tech adoption-no coding required.
The course begins with an overview of workplace sustainability challenges and the role technology can play in solving them. You’ll then dive into Teachable Machine’s intuitive interface, learning how to create and train custom models without prior programming experience. From identifying plastics to food and biomedical waste, you'll gain the skills to build AI tools that support smarter, greener decisions at work.
Through interactive lessons on labeling data, testing model accuracy, and exporting for deployment, you’ll leave with a working knowledge of how to implement real-world solutions that encourage environmental responsibility.
Whether you're a sustainability advocate, office manager, or curious learner, this course offers a practical entry point into the future of eco-friendly tech adoption-no coding required.
Author
AllTalk Global is an award-winning learning solutions provider dedicated to creating practical, engaging, and globally relevant training content. Our courses cover cutting-edge topics including AI, cybersecurity, financial crime, workplace skills, and sustainability, designed to empower learners with real-world knowledge.
Founded by Richard Andersone, BCA, a #1 best-selling finance and technology author with professional experience at Lloyds Banking Group and NatWest Group, AllTalk Global teaches over 10'000 students worldwide and combines industry expertise with innovative learning approaches. Recognised with the prestigious British Citizens Award at Westminster Palace, we pride ourselves on delivering high-quality, impactful education that meets the evolving needs of businesses and professionals worldwide.
Encouraging Workplace Sustainability with Google Teachable Machine Course
The course begins with an overview of workplace sustainability challenges and the role technology can play in solving them. You’ll then dive into Teachable Machine’s intuitive interface, learning how to create and train custom models without prior programming experience. From identifying plastics to food and biomedical waste, you'll gain the skills to build AI tools that support smarter, greener decisions at work.
Through interactive lessons on labeling data, testing model accuracy, and exporting for deployment, you’ll leave with a working knowledge of how to implement real-world solutions that encourage environmental responsibility.
Whether you're a sustainability advocate, office manager, or curious learner, this course offers a practical entry point into the future of eco-friendly tech adoption-no coding required.