Professional Training · Course

FSPCA Preventive Controls for Animal Food (PCQI)

Name: FSPCA Preventive Controls for Animal Food (PCQI)
Start: 2026-06-11T08:00
End: 2026-06-12T18:00
Location: Tri City Development Council

An FDA-recognized standardized curriculum course for Preventive Controls Qualified Individuals in the animal food industry.

Thu, 11 Jun 2026 – Fri, 12 Jun 2026 8:00 AM – 6:00 PM (America/Los_Angeles) Tri City Development Council Kennewick , Washington

This FSPCA Preventive Controls for Animal Food (PCQI) course provides the standardized curriculum recognized by the FDA. Successfully completing this training is a key requirement for individuals seeking to become a Preventive Controls Qualified Individual. Held at the Tri City Development Council in Kennewick, Washington, this intensive two-day course covers essential food safety protocols, hazard analysis, and preventive control strategies necessary for compliance in the animal food industry. It is an essential certification for industry professionals.

What to Expect

A rigorous, professional training environment focused on food safety regulations and compliance strategies for the animal food sector.

Who Should Attend

Food safety managers
Quality assurance professionals
Animal food industry personnel
Regulatory compliance officers

Agenda Overview

The course runs over two days, starting at 8:00 a.m. on June 11 and concluding at 6:00 p.m. on June 12.

Venue & Address

Tri City Development Council

7130 W Grandridge Blvd # A
Kennewick , Washington – 99336
United States

Organizer

Impact Washington · Training Provider

Provides professional training and consulting services.

Frequently Asked Questions

What is PCQI?

Preventive Controls Qualified Individual.

Is this FDA-recognized?

Yes, it uses the FSPCA standardized curriculum.

Where is it held?

Tri City Development Council, Kennewick, WA.

How long is the course?

Two days.

Who should attend?

Professionals in the animal food industry.

What does it cover?

Food safety protocols and hazard analysis.