Artificial Intelligence Literacy

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Students Build a Strong Understanding of the Artificial Intelligence Literacy Methods and Steps

Mujo’s Artificial Intelligence Literacy lays the theoretical foundations for higher ed students to gain a conceptual understanding of artificial intelligence and its applications.
This title offers students a practical introduction and explores key concepts behind AI-powered technologies and how they can be applied in real-world scenarios.

The book focuses on key topics such as prompt engineering, CX optimization, machine learning and data privacy. It explores a wide range of different LLM providers and offers useful insights into working alongside AI-powered tools for content creation and data analysis. With artificial intelligence sweeping the business field, this textbook provides a solid understanding of how AI can be utilized to optimize results and productivity.

Artificial Intelligence Literacy is designed with foundational concepts in mind and does not require any prior knowledge with computer science, data science, or artificial intelligence. For that reason, this course makes for an excellent introduction for students who want to gain a comprehensive understanding of artificial intelligence to be carried into any career path.

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Ch 1: Introduction to AI

• History of AI
• AI Applications
• Risk and Benefits

Ch 2: Algorithms and Problem Solving

• Types of Algorithms
• Algorithm Applications
• Algorithm Design Tactics

Ch 3: Machine Learning

• Supervised and Unsupervised learning
• Reinforcement Learning
• Evaluation and Validation

Ch 4: Neural Networks and Deep Learning

• Training Neural Networks
• Deep Learning architectures
• Overfitting and interpretability

Ch 5: Large Language Models and Generative AI

• Training LLMs
• Generative AI Applications
• Key LLM Providers

Ch 6: Prompt Engineering

• Prompting Tactics
• Prompting Patterns and Applications
• LLM Benchmarks and Evaluation

Ch 7: Big Data and Analytics

• CX Optimization
• Social Listening
• Scaling with AI

Ch 8: AI Ethics and Responsibility

• Algorithmic Bias/Fairness
• Data Privacy
• Law and Regulations

Artificial Intelligence Literacy Teacher Manual

The Artificial Intelligence Literacy textbook is accompanied by a comprehensive teacher manual, providing instructors with valuable resources to enhance the learning experience. These teacher manuals go well beyond the textbook content and include:

Minute-by-minute lesson plans
Handy post-it notes
Artificial intelligence assignments
Artificial intelligence exams

Artificial Intelligence Literacy Teacher Resource Cloud and Courseware

In addition to the teacher manual, the Artificial Intelligence Literacy textbook also provides instructors with access to a teacher resource cloud and courseware, offering a wealth of valuable content to further support their teaching efforts. This dedicated platform includes:

Instructional artificial intelligence video tutorials
Ready-to-use artificial intelligence PowerPoint presentations
Supplemental content to extend hours such as SCORM packages
Learning management systems (LMS) integration
Artificial intelligence test bank exams

Would you like Free teacher
manual examination copies?

Yes, I Would Like Examination Copies

We can easily match learning
outcomes (SLOs) with your syllabus.

Learn More About Our SLOs

Ready to talk to us and learn more
about our content and curriculum?

Yes, Let's Schedule a Quick Call

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