Foundations of AI: Artificial Intelligence 1 and Foundations of AI: Artificial Intelligence 2

Grades:��9 - 12

Developed for high school ʯ��Ƶ��ɫ��, Foundations of AI: Artificial Intelligence 1 introduces the fundamentals of AI, including natural language processing and image recognition. Foundations of AI: Artificial Intelligence 2 delves into AI algorithms, optimization and decision-making algorithms, as well as AI applications associated with robotics.�� In these AI programs, ʯ��Ƶ��ɫ�� learn skills and concepts quickly using an expertly designed program with well-deﬁned learning goals, relevant examples, hands-on coding activities, and well-supported teachers from included resources.

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Program Details

Foundations is an innovative series of titles designed for high school ʯ��Ƶ��ɫ��, each covering a timely computer science topic. These key features of every Foundations program bring skills to life:��

Expert content: Uses a research-based approach to building digital competencies developed by expert educators
Clear instruction and active learning: Engages ʯ��Ƶ��ɫ�� through well-deﬁned learning goals, relevant examples, hands-on activities, and project-based learning
Timely and relevant: Aligns with the latest industry practices, preparing ʯ��Ƶ��ɫ�� for future careers
Complete teacher support: Helps educators with lesson plans, lesson guides, assessments, and pre-mapped standards alignment

Students using Foundations of AI: Artificial Intelligence I or II will learn to:

Develop and deploy AI algorithms.
Optimize decision-making.
Apply advanced AI techniques to real-world challenges.
Critically evaluate AI's societal and ethical implications.��
Use Python AI libraries and visualization tools.

The programs, available in print, digital, and print/digital bundles, can be used individually or together.��

Foundations of AI: Artificial Intelligence 1 ʯ��Ƶ��ɫ�� 152 pages

Basics of Artificial Intelligence��
Lesson 1: Introduction to Artificial Intelligence��
Lesson 2: Introduction to AI Ethics

Natural Language Processing (NLP)��
Lesson 1: Supervised Learning��
Lesson 2: Unsupervised Learning��
Lesson 3: Generating Text

Image Recognition��
Lesson 1: Supervised Learning for Image Analysis��
Lesson 2: Unsupervised Learning for Image Analysis��
Lesson 3: Generating Visual Data��
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Foundations of AI: Artificial Intelligence 2 ʯ��Ƶ��ɫ�� 132 pages

Artificial Intelligence Algorithms��
Lesson 1: DFS/BFS Algorithms��
Lesson 2: Rule-Based Decision-Making��
Lesson 3: Informed Search Algorithms

Optimization and Decision-Making Algorithms��
Lesson 1: Resource Allocation Problem��
Lesson 2: Resource Scheduling Problem��
Lesson 3: Route Optimization

AI and Robotics��
Lesson 1: Applications of Robotics I��
Lesson 2: Applications of Robotics II

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