This session will review treatment and distribution operations for flows, pressure, storage capacity, operations and maintaining drinking water quality.

This four-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 Treament Operator's certification.

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.  

Course 3: AI Infrastructure & Security 

Course 3 of 3 

Orchestrate the systems that power AI. Take your skills to the next level by building a multi-node Kubernetes cluster capable of running GPU accelerated AI workloads. You’ll master cloud native security, resilient storage, and professional observability tools—then integrate actual GPU hardware into a hybrid cluster. This is your launchpad into AI operations, DevOps, and scalable infrastructure engineering.  

Ideal for:  System Administrators and DevOps engineers looking to specialize in Kubernetes and cloud-native technologies. Students who have completed Courses 1 and 2 and are ready to tackle the challenges of orchestrating a production-like environment. IT professionals wanting to gain the in-demand skills of AI infrastructure management and GPU orchestration. 

Prerequisite Skills:  

This is the advanced culmination of the Infrastructure track. To ensure success, students should have: 

Completion of Courses 1 and 2 or equivalent combined knowledge: 

From Course 1, AI Networking Fundamentals: Solid networking fundamentals, including subnet design, routing, DNS/DHCP configuration, firewall rules, NAT, and network troubleshooting. 

From Course 2, Linux and Cloud Foundations: Proficiency in Linux command-line administration, user and permission management, systemd service management, shell scripting, and virtual machine management. 

Basic Containerization Knowledge: 

• Conceptual understanding of what containers are and how they differ from VMs 
• Familiarity with basic Docker commands (docker run, docker build, docker ps) is helpful but not strictly required 
• Understanding of Linux Services and Networking: 
• Experience installing and configuring services on Linux (web servers, databases) 
• Ability to configure network interfaces and troubleshoot connectivity issues on Linux servers 

Familiarity with Git and Version Control: 

Understanding of basic Git workflows (clone, commit, push) for managing configuration files 

Security Awareness: 

• Understanding of basic security principles (authentication, authorization, least privilege) 
• Familiarity with SSH key-based authentication 

Additional Courses in AI Infrastructure Track:

1: AI Networking Fundamentals: 6/22/26 – 9/13/26

2: Linux & Cloud Foundations 7/13/26 - 10/4/26 or 8/31/26 - 11/22/26

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.  

Applied AI, Agents & Automation 

Course 3 of 3

Engineer intelligent systems—not just models. This advanced course pushes you into the world of production‑grade AI engineering. You’ll build autonomous agents, orchestrate workflows with both code and low‑code tools, fine‑tune open‑source LLMs, and implement Retrieval‑Augmented Generation (RAG) for long‑term memory. Finally, you’ll containerize a multi‑service AI system and deploy it on a GPU‑accelerated Kubernetes cluster. This is where developers become AI engineers. Ideal for: Software developers who want to specialize in Artificial Intelligence and Large Language Model (LLM) integration. Data scientists looking to operationalize their models and move them from notebooks to production web services. DevOps engineers who need to understand the specific infrastructure requirements of AI workloads, including GPU orchestration. Graduates of Course 2  ready to apply their full-stack and DevOps skills to the cutting edge of AI technology. 

Prerequisite Skills  

This is an advanced course that combines software engineering with data science. To ensure success, students should have: 

Full-Stack Development Experience: Strong proficiency in Python, web frameworks (Flask/FastAPI), and API design, as covered in Course 2: Cloud-Native App Deployment. 

Containerization & DevOps Skills: A solid understanding of Docker, GitLab CI/CD pipelines, and basic Kubernetes concepts. 

Database Knowledge: Comfort with SQL and interacting with databases programmatically. 

Understanding of Machine Learning Basics: While we teach advanced techniques, a conceptual understanding of what a model is (from Course 1: Python AI Fundamentals or equivalent experience) is helpful. 

Additional Courses in AI Development Track:

1: Python AI Fundamentals: 6/22/26 – 9/13/26

2: Cloud Native App Deployment  7/13/26 - 10/4/26 or 8/31/26 - 11/22/26

Early Bird Discount!  Use coupon code EARLY BIRD 3253 for $100 off through July 15, 2026.

De-Escalation in Practice: Using Assertive Language and Presence to Promote Calm In emotionally charged situations, how we show up matters just as much as what we say. This interactive workshop focuses on the practical side of de-escalation by strengthening your emotional intelligence, refining your language choices, and using non-verbal presence to promote calm. Through discussion, structured practice, and guided reflection, you’ll gain tools to respond with clarity and confidence when tension runs high.

This 60-hour course will provide instruction for Basic Wastewater Operations to individuals seeking to become certified. The course follows the DEC curricula guide for wastewater treatment plant operators. Textbooks are included. 60 contact hours.

Our Construction Tech Safety Classes prepare students for the job site with essential skills and certifications. Training includes OSHA 10, construction math, blueprint reading, tool safety, and job-ready communication. Learn how to stay safe, use tools correctly, and build a strong foundation for a career in construction.

This course is one third of our Construction Technology Program.  If you are interested in taking the "Foundational" and "Skilled Trades" sections as well, please use the link below to register for the full program and receive a discount. 

https://jcc.coursestorm.com/course/construction-technology-full-program

This program consists of the following three courses.  If you would prefer to take one or two of the modules individually, please use the link within the description.

Core Safety Our Construction Tech Safety Classes prepare students for the job site with essential skills and certifications. Training includes OSHA 10, construction math, blueprint reading, tool safety, and job-ready communication. Learn how to stay safe, use tools correctly, and build a strong foundation for a career in construction.  https://jcc.coursestorm.com/course/construction-technology-core-safety-5219

Foundational The Fundamentals section of our Construction Tech program gives students hands-on experience in the essential building blocks of residential and light commercial construction. From masonry and floor systems to wall, stair, and roof framing, students gain practical skills in each phase of the building process. Learn how to install ceiling joists, apply various roofing systems, and complete structures with professional exterior finishing techniques. Students also earn lift certifications, adding valuable credentials to their toolbox. This section builds a strong foundation—literally and professionally—for success in the trades. https://jcc.coursestorm.com/course/construction-technology-foundational-5220

Skilled Trades The Skilled Trades section prepares students for real-world work in key areas of construction. Learn the essentials of residential electrical systems, HVAC basics, and plumbing, including DWV systems, plastic and copper piping, and fittings. Students also gain hands-on experience in drywall and interior finishing, while earning valuable credentials like Lift Certification and First Aid/CPR/AED. Build specialized skills that help you stand out in the trades. https://jcc.coursestorm.com/course/construction-technology-skilled-trades-5611