Employs Python, Excel, R, and other GUI software to explore a variety of algorithms that fall under the umbrella of predictive analytics and data mining. Learners derive meaning from data using neural networks. Learners apply statistical models including linear and logistic regression. Lastly, learners evaluate data using Naïve Bayes and Bayesian Networks. Learners demonstrate their findings via PowerPoint and short video presentations.
Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.
Prepares the participant to perform the minimum hazardous material incident operations associated with firefighting functions. Meets operational level competencies referenced in the JPRs in NFPA 1001 - Standard for Fire Fighter Professional Qualifications
Prepares the participant to be able to perform the minimum hazardous material incident operations associated with firefighting functions at an advanced nationally recognized level under general supervision. The targeted audience is individuals who have completed the training required to meet the Fire Fighter I JPRs in NFPA 1001, and desire to increase their knowledge and skills base to the next level. This course is designed to provide the Fire Fighter II candidate with the information needed to meet the operational level competencies for the hazardous material first responder as referenced in the job performance requirements (JPRs) in National Fire Protection Association (NFPA) 1001, Standard for Fire Fighter Professional Qualifications, Chapter 4, 4-1.1. It is based on the National Fire Academy (NFA) Initial Response to Hazardous Materials Incidents: Basic Concepts and Initial Response to Hazardous Materials Incidents: Concepts Implementation curriculums.
The Candidate Physical Ability Test (CPAT) - Test Out is for a ONE-TIME try to challenge the CPAT course. Acknowledgment and waiver of CPAT orientation and/or conditioning period and/or timed practice runs will need to submitted.
The Candidate Physical Ability Test (CPAT) - Full Session includes the orientation, two (2) timed course practices and a CPAT test. During the orientation session, we will explain the testing process and how the equipment works. You will have the chance to ask questions and try the testing equipment. The pass rate of those who attend the orientations is higher than for those who do not, so it is highly recommended that you attend at least one of these orientations. The two practice tests are the same and we attempt to run the practice test under actual testing conditions. If the test is run under actual testing conditions and you successfully complete the test this is considered a PASS and you will not need to attend any further testing.
Applies all previous data analytics knowledge into one project. Learners perform (ETL) extraction, transformation, and loading of data. Learners query and analyze data. Learners create reports and visuals. Learners communicate results and findings to stakeholders.
Design charts, graphs, dashboards, and other visualizations with an understanding of color and chart type. Learners use the appropriate types of chart based on the data that is being presented and the audience that is viewing the presentation and also build charts for the purpose of exploratory data analysis.
Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.
Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.
Introduces learners to machine learning using Python. Learners process data and construct visualizations. Learners write Python code to classify data. Learners use various Python libraries to perform both supervised and unsupervised learning. Learners use Python to perform natural language processing, build neural networks, and understand deep learning.
Provides a comprehensive introduction to data engineering principles and foundational cloud computing for data. Students will learn to build and maintain scalable data pipelines, process and store large datasets, and implement cloud-based solutions for secure and efficient data management. With a focus on real-world applications, this course explores data ingestion, transformation, and storage strategies using AWS tools. By combining essential cloud computing skills with data engineering techniques, students will develop the expertise needed to support analytics, machine learning, and business intelligence workflows across diverse environments.
Introduces computer programming and terminology in the Python programming language. Special attention is paid to concepts essential to writing basic computer programs. These concepts include: Data Types, Expressions, Loops, File Interaction, Collections, and Functions. Additionally, several tools required to develop Python applications will be explored. Throughout the course learners will develop increasingly complex applications as new topics are introduced.
Introduces the basic principles and history related to the national firefighter life safety initiatives, focusing on the need for cultural and behavior change throughout the emergency services.
Provides the components of building construction related to firefighter and life safety. The elements of construction and design of structures are shown to be key factors when inspecting buildings, preplanning fire operations, and operating at emergencies.
Emphasizes basic fire behavior, techniques used to control structural and related fire emergencies and life safety practices. Learners perform all practical evolutions necessary to control and extinguish fires and otherwise meet all requirements for Firefighter 1 certification with the state of Wisconsin.
This 96-hour course prepares the participant to be able to perform fire fighting functions at the nationally recognized minimum levels under direct supervision. The targeted audience is individuals who desire to become Wisconsin Certified Fire Fighter I based on the requirements set by SPS 330.08, Employment standards, Wisconsin Department of Safety and Professional Services. This course is designed to provide the Fire Fighter I candidate with the information needed to meet the job performance requirements (JPRs) defined in NFPA 1001, Standard for Fire Fighter Professional Qualifications, Current Edition, Chapters 5.2 through 5.5. The participant must also complete the Hazardous Materials Operation level course in order to meet the remainder of the NFPA Fire Fighter I JPR requirements.
This 36-hour course prepares the participant to be able to perform aerial fire apparatus driving, positioning, operating and testing functions at a minimum nationally recognized level. The targeted audience is individuals who have completed the Fire Apparatus Driver/Operator- Pumper course. This course is designed to provide the Driver/Operator-Aerial candidate with the information needed to meet the job performance requirements (JPRs) in National Fire Protection Association (NFPA) 1002, Standard for Fire Apparatus Driver/Operator Professional Qualifications, Chapters 4 and 6.
This 40 hour course prepares the participant to perform fire fighting supervisor functions at a minimum nationally recognized level. The targeted audience is individuals who have completed the training required to meet the Fire Fighter II JPRs of NFPA 1001, Standard for Fire Fighter Professional Qualification, Chapter 6, and desire, or are required to increase their knowledge and skills to progress to the Fire Officer I Level. Completion of the 40 hour Emergency Services Instructor I course is also required in order to become certified as Fire Officer I. This course is designed to provide the Fire Officer I candidate with the information needed to meet the job performance requirements (JPRs) in National Fire Protection Association (NFPA) 1021, Standard for Fire Officer Professional Qualifications, Chapter 4. Curriculum for the course is based on the Jones & Bartlett, Fire Officer Principles and Practice, 4th Edition (ISBN: 978-1284172393). A written and practical skills certification exam is available to participants who successfully complete this course.
Builds upon the foundation laid in Fire Fighting Principles as well as adds new concepts such as vehicle extrication, flammable liquids fire, technical rescue and incident command. This course will meet the requirements of NFPA 1001 for Firefighter 2 level.
This 42-hour course prepares the participant to perform firefighting functions at an advanced nationally recognized level under general supervision. The targeted audience is individuals who have completed the training required to meet the Fire Fighter I JPRs in NFPA 1001, and desire to increase their knowledge and skills base to the next level. This course is designed to provide the Fire Fighter II candidate with the information needed to meet the job performance requirements (JPRs) in NFPA 1001, Standard for Fire Fighter Professional Qualifications, Current Edition.
Prerequisite Courses: 47503720 (Cert FF1) and 47503780 (Haz Mat Operations)
Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.
Introduce learners to the foundational concepts of data programming in the open-source language R. Learners explore ways to visualize data, examine data structures, and model the relationship between variables using commands in R. Learners incorporate problem-solving and critical thinking skills as they write commands to support their work with data analysis.
Builds on Data Visualizations 1 and emphasizes choosing proper charts for quantitative and time-series analysis. Learners build effective dashboards and tell effective stories based on audience needs and analytical comfort. Learners contrast the ways in which data visualization can be used to tell truthful and untruthful stories.
Prepares the participant to be able to perform the minimum hazardous material incident operations associated with firefighting functions at an advanced nationally recognized level under general supervision. The targeted audience is individuals who have completed the training required to meet the Fire Fighter I JPRs in NFPA 1010, and desire to increase their knowledge and skills base to the next level. This course is designed to provide the Fire Fighter II candidate with the information needed to meet the operational level competencies for the hazardous material first responder as referenced in the job performance requirements (JPRs) in National Fire Protection Association (NFPA) 1010, Standard for Fire Fighter Professional Qualifications, Chapter 4, 4-1.1. It is based on the National Fire Academy (NFA) Initial Response to Hazardous Materials Incidents: Basic Concepts and Initial Response to Hazardous Materials Incidents: Concepts Implementation curriculums.
