Title: Artificial Intelligence, Advanced (25901-II)

Demonstrating Personal Qualities and Abilities
  Demonstrate creativity and innovation.
  Demonstrate critical thinking and problem-solving.
  Demonstrate initiative and self-direction.
  Demonstrate integrity.
  Demonstrate work ethic.
  WorkplaceReadinessSkillsPoster2019.pdf
Demonstrating Interpersonal Skills
  Demonstrate conflict-resolution skills.
  Demonstrate listening and speaking skills.
  Demonstrate respect for diversity.
  Demonstrate customer service skills.
  Collaborate with team members.
Demonstrating Professional Competencies
  Demonstrate big-picture thinking.
  Demonstrate career- and life-management skills.
  Demonstrate continuous learning and adaptability.
  Manage time and resources.
  Demonstrate information-literacy skills.
  Demonstrate an understanding of information security.
  Maintain working knowledge of current information-technology (IT) systems.
  Demonstrate proficiency with technologies, tools, and machines common to a specific occupation.
  Apply mathematical skills to job-specific tasks.
  Demonstrate professionalism.
  Demonstrate reading and writing skills.
  Demonstrate workplace safety.
Examining All Aspects of an Industry
  Examine aspects of planning within an industry/organization.
  Examine aspects of management within an industry/organization.
  Examine aspects of financial responsibility within an industry/organization.
  Examine technical and production skills required of workers within an industry/organization.
  Examine principles of technology that underlie an industry/organization.
  Examine labor issues related to an industry/organization.
  Examine community issues related to an industry/organization.
  Examine health, safety, and environmental issues related to an industry/organization.
Addressing Elements of Student Life
  Identify the purposes and goals of the student organization.
  Explain the benefits and responsibilities of membership in the student organization as a student and in professional/civic organizations as an adult.
  Demonstrate leadership skills through participation in student organization activities, such as meetings, programs, and projects.
  Identify Internet safety issues and procedures for complying with acceptable use standards.
Exploring Work-Based Learning
  Identify the types of work-based learning (WBL) opportunities.
  (Optional) Reflect on lessons learned during the WBL experience.
  Explore career opportunities related to the WBL experience.
  (Optional) Participate in a WBL experience, when appropriate.
Reviewing the Foundation of AI
  Describe the evolution of AI.
  Define AI terminology.
  Outline the components of AI.
  Analyze the risks and rewards of AI use.
Examining Learning Paradigms
  Distinguish prediction from generation.
  Describe supervised, unsupervised, and reinforcement learning.
  Apply supervised, unsupervised, and reinforcement learning.
Exploring Data and Machine Learning
  Train a model using a dataset.
  Apply machine-learning algorithms to construct predictive models.
  Evaluate model performance using basic metrics.
  Compare machine learning and human learning.
  Select a machine-learning application for a given real-world situation.
Exploring AI Algorithms and Models
  Explain linear and logistic regressions.
  Interpret a decision tree.
  Analyze outputs from a decision tree.
  Create a decision tree.
  Explain the purpose of creating a “forest” from multiple decision trees.
  (Optional) Explore K-Nearest Neighbors (KNN).
Examining Neural Networks and Deep Learning
  Illustrate the difference between deep learning and traditional machine learning.
  Explain the concept of an artificial neuron.
  Explain an artificial neural network.
  Explore the uses of neural networks.
  Implement a neural network model.
  Analyze the outputs from a neural network model.
Examining Natural Language Processing (NLP)
  Explain what natural language processing (NLP) is, and how it is used in everyday life.
  Describe how computers process language inputs and generate language outputs.
  Identify the challenges in processing human language.
  Analyze NLP outputs.
  Use NLP to address a problem.
Using AI Coding Assistants
  Explain the capabilities of an AI coding assistant.
  Outline the fundamentals of prompt engineering for coding.
  Use an AI coding assistant.
Applying Responsible AI
  Define responsible AI.
  Examine the legal aspects of AI governance.
  Analyze a case study in relation to responsible AI principles.
Developing an AI Project
  Design an AI solution.
  Build an AI solution.
  Present an AI solution.
Preparing for Industry Credentialling
  Describe the processes and requirements for obtaining industry credentials related to the Artificial Intelligence, Advanced course.
  Identify testing skills/strategies for a credential examination.
  Demonstrate the ability to complete selected practice examinations.
  (Optional) Complete an industry credential examination representative of skills learned in this course.
Developing Employability Skills
  Update a portfolio of AI projects that demonstrate understanding and creativity.
  Update a résumé.
  (Optional) Participate in a simulated job interview using AI.
  Prepare a letter of resignation.
  Plan for potential future career opportunities related to AI.
ADDITIONAL COURSE INFORMATION
  AI Advanced_Student Competency Record_Copyright_2026.xlsx
  AI, Advanced Printable Version with SOL and FBLA Correlations
  AI and AI Advanced Teacher Resource List.pdf
  AI and AI, Advanced Instructional Scenarios
  AI and AI, Advanced Acknowledgments and Copyright Information