This course is designed to introduce Engineers, Maintenance Technicians, and similar positions to the basic skills needed to operate, program, and edit a FANUC Robot. The course provides both classroom and performance-based hands-on training in FANUC robot controls, operations and programming.

Funding is available!  If you are interested in learning more, please DO NOT register online.  Instead, please email christinaparks@mail.sunyjcc.edu.

AI Development Track   

The AI Development Track is a hands-on journey that takes students from Python fundamentals all the way to becoming a professional AI Engineer. Over three intensive courses, you'll master the complete AI development lifecycle and have a portfolio of production-ready applications. This program is designed for those ready to move beyond using AI to building the intelligent applications of tomorrow.  

Cloud‑Native Application Deployment 

Course 2 of 3. 

Turn your AI ideas into real, cloud‑powered applications. Learn how modern AI-backed web apps are built and shipped. You’ll transform a Python script into a full-stack web application with Flask, SQLAlchemy, and a hand‑coded front end—and then take it all the way to the cloud. Containerize with Docker, automate with GitLab CI/CD, and deploy to Kubernetes. By the end, your work isn’t just running locally… it’s live. Ideal for Python developers looking to transition into web development or backend engineering. IT professionals who want to modernize their skillset with containerization and orchestration technologies like Docker and Kubernetes. Graduates of Course 1 who want to see their code come to life as a live, interactive web application. Aspiring DevOps engineers seeking a practical, project-based introduction to CI/CD pipelines. 

Prerequisite Skills  

This course focuses on web technologies and cloud infrastructure. To ensure success, students should have: 

Python Proficiency: A solid understanding of Python syntax, functions, and Object-Oriented Programming (OOP), as covered in Course 1: Python AI Fundamentals

Command-Line Literacy: Comfort with navigating the file system, running scripts, and managing files via a terminal. 

Git Fundamentals: Understanding of basic version control concepts like cloning, committing, and pushing code. 

Logical Thinking: The ability to understand how data flows between a client (browser), a server (API), and a database. 

Additional Courses in AI Development Track:

1: Python AI Fundamentals: 6/8/26 – 8/30/26

3: Applied AI, Agents & Automation  7/20/26 - 10/18/26 or 11/23/26 - 2/21/21

AI Infrastructure Track  

The AI Infrastructure Track prepares students to design, build, and manage the modern systems behind AI deployment. Across three hands-on courses, students progress from foundational networking to full cloud ‑native‑ orchestration, gaining the practical skills needed to support real-world AI workloads.  

Linux & Cloud Foundations 

Course 2 of 3 

Turn your network into a living, breathing infrastructure. Learn the Linux, virtualization, and automation skills powering modern cloud environments. From user management and shell scripting to provisioning cloud-style virtual machines, you'll build and secure real services—including identity management, databases, and web apps. The ideal jump from networking into full system administration.  

Ideal for: Network technicians who want to expand their skill set into system administration.· IT professionals seeking to formalize their Linux knowledge for cloud and DevOps roles.· Students who have completed Course 1 and are ready to build the services that run on the network. 

Prerequisite Skills:  

This course builds directly upon the networking foundation. To ensure success, students should have: 

Completion of Course 1 (AI Networking Fundamentals) or equivalent networking knowledge: 

• Understanding of IP addressing, subnetting, and CIDR notation 
• Familiarity with core network services (DNS, DHCP) 
• Knowledge of routing concepts and static routes 
• Experience configuring firewalls and understanding basic security principles 

Basic Command-Line Literacy: 

• Comfort opening a terminal and navigating directories (cd, ls, mkdir) 
• Ability to view files (cat, less) and edit simple text files 

Understanding of Virtualization Concepts: 

• Conceptual knowledge of what a Virtual Machine (VM) is and how it differs from physical hardware 
• Basic understanding of hypervisors (like Proxmox, VMware, or VirtualBox) 

General Computer Literacy: 

• Comfort installing operating systems (Xubuntu) and software 
• Ability to troubleshoot basic technical issues independently

Additional Courses in AI Infrastructure Track:

1: AI Networking Fundamentals: 6/8/26 – 8/30/26

3: AI Infrastructure & Security 7/20/26 - 10/18/26 or 11/23/26 - 2/21/21

Hands-on program that teaches participants essential home maintenance and repair skills. Topics include carpentry, drywall, painting, plumbing, electrical systems, solar basics, and general home upkeep, with a focus on safety, tool use, and practical, real-world applications.

Students will have the opportunity to learn the theory and hands-on skills to gain the foundational knowledge of Hydronic and Forced Air Heating systems. The successful completion of the 75-hour HVAC module I course will allow and prepare students to take the more advanced 75-hour HVAC module II course. Topics include the following: Safety, HVAC Tools, Mathematics for HVAC, Theory of Electricity - I, Blueprints and wiring diagrams, Soldering, Braizing and Welding, Piping Materials and Fittings, HVAC Career Opportunities, Introduction to HVAC Equipment - Boilers, Furnaces & AC, Fundamentals of HVAC Equipment- Boilers, Furnaces, Valves and Meters, Radiant Heat Systems, Troubleshooting HVAC Equipment, Customer Service, Soft Skills, Work Ethic.   No Class Wednesday, November 25.

If you choose to pay for this tuition in installments, please be aware that tuition must be paid in full prior to the start of the class.

Please note - weekly payments are calculated from your date of registration to the first day of class. The closer your registration is to the class start date, the higher the installation payments will be.

Topics covered in this course include operator qualifications and responsibilities, water quality control, coagulation, sedimentation, filtration, pH and alkalinity adjustment, iron and manganese removal, water softening and chlorination, bacteriological laboratory techniques, emergency planning, safety, hydraulics and pumps, process calculations and distribution system operation and maintenance.

This five-day course is designed to meet the requirements of NYS Sanitary Code Part 5 relative to the training required to receive New York State Water Treatment Operator's certification. This training will coincide with the first half of the Grade A class.

This course provides individuals with 35 contact hours of training required by the Project Management Institute (PMI)before taking the PMP exam.  The course is taught by a PMI authorized training provider and is conducted live through ZOOM.  Individuals will be provided with textbooks, study material, practice exam questions and more.