The RCAI (Rocheston Certified AI Engineer) course is a comprehensive program designed to equip students with the knowledge and skills needed for productive roles in AI projects. The course covers a wide range of topics, including the fundamentals of artificial intelligence, machine learning, deep learning, and various AI applications. It combines theoretical knowledge with hands-on experience, preparing participants for the rapidly growing field of AI. The course utilizes the Rocheston AINA Operating System, which hosts a vast library of machine learning models, AI tools, frameworks, and code.
Learning Objectives
1. Provide a solid foundation in AI concepts and technologies 2. Develop practical skills in machine learning and deep learning 3. Explore various AI applications in fields such as audio, coding, design, education, finance, and cybersecurity 4. Learn to use popular AI frameworks like TensorFlow and PyTorch 5. Understand the ethical implications and regulations in AI 6. Gain hands-on experience through practical labs and projects 7. Prepare students for AI roles in various industries
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@hq.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.