Florida Department of Education
Curriculum Framework

Program Title:	Artificial Intelligence Practitioner
Career Cluster:	Information Technology

CCC	
CIP Number	0511010200	
Program Type	College Credit Certificate (CCC)	
Program Length	18 credit hours	
CTSO	PBL, BPA	
SOC Codes (all applicable) 	Assignment pending.	
CTE Program Resources 	http://www.fldoe.org/academics/career-adult-edu/career-tech-edu/program-resources.stml	

Purpose
This certificate program is part of the Applied Artificial Intelligence AS degree program (1511010200).  

A College Credit Certificate consists of a program of instruction of less than sixty (60) credits of college-level courses, which is part of an AS or AAS degree program and prepares students for entry into employment (Rule 6A-14.030, F.A.C.).

This program offers a sequence of courses that provides coherent and rigorous content aligned with challenging academic standards and relevant technical knowledge and skills needed to prepare for further education and careers in the Information Technology career cluster; provides technical skill proficiency, and includes competency-based applied learning that contributes to the academic knowledge, higher-order reasoning and problem-solving skills, work attitudes, general employability skills, technical skills, and occupation-specific skills, and knowledge of all aspects of the Information Technology career cluster. 

The content includes but is not limited to technical knowledge of artificial intelligence (AI) tools and their real-world applications for data management, machine learning, natural language processing, and computer vision. Additional content includes ethics as relevant to the design and implementation of artificial intelligence.  

Additional Information relevant to this Career and Technical Education (CTE) program is provided at the end of this document.

Program Structure

This program is a planned sequence of instruction consisting 18 credit hours.

Standards

After successfully completing this program, the student will be able to perform the following:

01.0	Explain the importance of managing the core phases of an Artificial Intelligence (AI) project lifecycle.
02.0	Describe ethical and socially responsible practices related to the development and deployment of intelligent systems. 
03.0	Describe foundational machine learning concepts. 
04.0	Describe data acquisition, preprocessing, and transformation for AI models. 
05.0	Describe the use of artificial intelligence tools and how they may be applied to optimize an organization’s capabilities. 
06.0	Describe the application of basic techniques in computer vision for image classification and object detection. 
07.0	Describe the application of basic techniques in natural language processing. 

Florida Department of Education
Student Performance Standards

Program Title:		Artificial Intelligence Practitioner
CIP Number:			0511010200
Program Length:		18 credit hours
SOC Codes:			

This certificate program is part of the Applied Artificial Intelligence AS degree program (1511010200).  At the completion of this program, the student will be able to:	
01.0	Explain the importance of managing the core phases of an Artificial Intelligence (AI) project lifecycle. The student will be able to: 	
01.01	Describe AI life cycle from concept to production. 	
01.02	Describe the importance of security technologies, processes and practices appropriate for each life cycle phase. 	
01.03	Describe the history, evolution and various applications of AI technology. 	
02.0	Describe ethical and socially responsible practices related to the development and deployment of intelligent systems. The student will be able to: 	
02.01	Recognize the value of developing equitable and fair AI solutions. 	
02.02	Describe the need for data transparency and responsibility in AI models. 	
02.03	Describe common major issues of ethical concern in the development and implementation of AI. 	
02.04	Explain the potential pitfalls in the absence of business policies that address ethics in the development, implementation, and administration of AI. 	
02.05	Define and compare ethical and legal implications of AI. 	
02.06	Identify, research, and analyze current events in the field of AI, considering new technology developments, social and ethical impacts, and future implications. 	
02.07	Identify and describe ethical and societal AI issues in a variety of settings such as public safety, finance, social media, marketing, government, and how these factors may impact different cultures and countries. 	
03.0	Describe foundational machine learning concepts. The student will be able to: 	
03.01	Describe the differences between supervised, unsupervised, and reinforcement learning. 	
03.02	Describe traditional machine learning algorithms and model development. 	
03.03	Describe methods of representation learning and model development. 	
03.04	Describe testing and validation of machine learning models. 	
03.05	Describe the various libraries available for implementation of machine learning models. 	
03.06	Explain the optimization of AI models in various contexts. 	
04.0	Describe data acquisition, preprocessing, and transformation for AI models. The student will be able to: 	
04.01	Utilize various techniques for identifying data requirements. 	
04.02	Identify and design a data collection plan. 	
04.03	Identify attributes and benefits of data sources and associated collection strategies. 	
04.04	Evaluate risks to data privacy, integrity, and availability. 	
04.05	Apply methods to evaluate and interpret model outputs. 	
04.06	Describe techniques to transform data from multiple sources and formats by utilizing visualization tools and fitting data to models. 	
04.07	Identify and assess data readiness. 	
04.08	Describe the benefits and disadvantages of data virtualization. 	
05.0	Describe the use of artificial intelligence tools and how they may be applied to optimize an organization’s capabilities. The student will be able to: 	
05.01	Utilize knowledge of available AI tools to accomplish specific objectives. 	
05.02	Describe potential project pitfalls in tool selection. 	
05.03	Identify alternative AI solutions. 	
05.04	Explain various deployment strategies. 	
05.05	Identify trends in emerging AI tools to address the evolving nature of AI systems. 	
06.0	Describe the application of basic techniques in computer vision for image classification and object detection. The student will be able to: 	
06.01	Explore the application of computer vision to real world problems. 	
06.02	Describe the data acquisition and exploration processes in computer vision. 	
06.03	Outline the functions, applications, and usage of computer vision libraries. 	
06.04	Describe the development and applications of Convolution Neural Networks (CNN). 	
06.05	Describe an end-to-end Generative Adversarial Networks (GANs) model. 	
07.0	Describe the application of basic techniques in natural language processing. The student will be able to: 	
07.01	Explore the application of natural language processing (NLP) to real world problems. 	
07.02	Outline the various stages within the NLP pipeline. 	
07.03	Describe algorithms and models used in NLP for speech recognition, language translation, and text analysis. 	
07.04	Describe, compare, and apply text classifiers. 	
07.05	Describe common platforms to deploy NLP models. 	
07.06	Evaluate ethical issues in language models. 	

Additional Information

Laboratory Activities

Laboratory investigations that include scientific inquiry, research, measurement, problem solving, emerging technologies, tools and equipment, as well as, experimental, quality, and safety procedures are an integral part of this career and technical program/course. Laboratory investigations benefit all students by developing an understanding of the complexity and ambiguity of empirical work, as well as the skills required to manage, operate, calibrate and troubleshoot equipment/tools used to make observations. Students understand measurement error; and have the skills to aggregate, interpret, and present the resulting data. Equipment and supplies should be provided to enhance hands-on experiences for students.

Career and Technical Student Organization (CTSO)

Phi Beta Lambda (PBL) and Business Professionals of America (BPA) are the intercurricular career and technical student organization(s) providing leadership training and reinforcing specific career and technical skills. Career and Technical Student Organizations provide activities for students as an integral part of the instruction offered. 

Accommodations

Federal and state legislation requires the provision of accommodations for students with disabilities to meet individual needs and ensure equal access. Postsecondary students with disabilities must self-identify, present documentation, request accommodations if needed, and develop a plan with their counselor and/or instructors. Accommodations received in postsecondary education may differ from those received in secondary education. Accommodations change the way the student is instructed. Students with disabilities may need accommodations in such areas as instructional methods and materials, assignments and assessments, time demands and schedules, learning environment, assistive technology and special communication systems. Documentation of the accommodations requested and provided should be maintained in a confidential file.

Additional Resources

For additional information regarding articulation agreements, Bright Futures Scholarships, Fine Arts/Practical Arts Credit and Equivalent Mathematics and Equally Rigorous Science Courses please refer to:
http://www.fldoe.org/academics/career-adult-edu/career-tech-edu/program-resources.stml