The first AI obtained certificate called AIAC can now be accessed by farm operations personel and food production professionals worldwide
AI is the business buzz word right now for anything no-one understands, but for farm operations in many parts of the world they aren’t waiting for technology to arrive, they’re already using it.
AI tools like ChatGPT, Claude, and Microsoft Copilot are available right now, and a recently developed AI Awareness program is showing agricultural professionals exactly how to put them to work.
From paddock monitoring to food safety compliance, a UK based company called AI Awareness Training has become a specialist in the agricultural sector for specific AI certification with their AIAC™ program.
This structured certification program combines self-paced AI training with a formal exam, designed specifically for farming, livestock, and food supply chain roles.
The AI Awareness Training program equips agronomists, farm managers, veterinarians, and food production teams with practical AI skills using tools including ChatGPT, Claude, and Microsoft Copilot, with no prior technical knowledge required.
This professional certification program is giving farming, livestock, and food production teams the practical AI skills they need to compete in a rapidly changing industry, with no technical background required.
The AI Awareness Certificate in Agriculture and Food Production (AIAC™), launched by AI Awareness Training is a structured online program combining self-paced video training with a formal 50-question certification exam.
The program is the first of its kind to address the specific AI learning needs of the global agri-food sector, covering everything from crop monitoring and livestock health management to food safety compliance and supply chain optimisation.
Why certification matters
Agriculture faces unprecedented pressure. Climate volatility, regulatory complexity, labour shortages, and market unpredictability are forcing producers at every scale to do more with less.
At the same time, AI tools including ChatGPT, Claude, and Microsoft 365 Copilot have become powerful enough to analyse farm data, generate compliance documentation, optimise feed rations, and monitor crop stress from satellite imagery, all without specialist technical knowledge.
The gap, until now, has been training. Generic AI courses teach office productivity. Agricultural colleges teach agronomy. No structured program has existed to bridge the two, until the AIAC release.
What the program covers
The AIAC certification is built around seven core sections delivered through on-demand video, written guidance, and hands-on exercises using real agricultural document types including agronomy reports, soil analyses, livestock logs, and supply chain datasets.
Participants learn how to use AI for crop planning and in-season monitoring, livestock health alerts and feed optimisation, food safety documentation including HACCP drafting, cold chain logistics and supply forecasting, climate risk registers and regenerative agriculture planning, and the design and deployment of AI agents for farm and agribusiness workflows.
All exercises are designed around free or standard-tier tools — ChatGPT, Claude, and Microsoft 365 Copilot — meaning there is no additional software cost to get started.
Who can participate
The AIAC is designed for the full breadth of agri-food professionals: farm managers, agronomists, livestock managers, veterinarians, food processing managers, supply chain and logistics teams, precision agriculture specialists, and farm operation owners seeking competitive advantage through AI-powered decision making.
The program is equally relevant to individual professionals seeking CPD-aligned credentials and to organisations looking to upskill teams across crop, livestock, and food production operations. Built-in bulk discounts apply automatically for group registrations, with no coupon codes or administration required.
Certification details
The formal certification exam consists of 50 questions across 90 minutes, combining single choice, multiple choice, and sequencing questions drawn from both agricultural AI applications and core AI awareness principles.
Unlimited retakes are available, with a minimum seven-day preparation period between attempts. Candidates receive a digital certificate upon passing, valid without expiry.
For organisations requiring live instruction, the program is also available as a full-day trainer-led session delivered online or on-site anywhere in the United Kingdom.
Worldwide participation
Food producers aren’t waiting for further technology to arrive, they’re already using AI accessible tools like ChatGPT and Microsoft Copilot right now, and this program shows agricultural professionals exactly how to put them to work for compliance.
The AIAC program is available globally, with all content delivered in English and accessible on any device. Individual enrolment is priced at £95 (Au$122), with group licensing available for teams and organisations.
For further information about the self-paced course, use this link. Or to learn more about the full certification programs use this link.
Farming solution results from implementing AI
Implement Precision Agriculture: Deploy AI-powered systems for variable rate application of water, fertilizer, and pesticides based on real-time soil conditions, crop health, and weather predictions—reducing inputs while improving yields
Monitor Crop Health: Use computer vision, satellite imagery, and drone analysis to detect disease, pest infestations, nutrient deficiencies, and water stress early when interventions are most effective and least costly
Optimise Irrigation: Leverage AI models that integrate soil moisture sensors, weather forecasts, crop growth stages, and water availability to deliver precisely the right amount of water at the right time
Predict Yields Accurately: Apply machine learning to historical data, current growing conditions, and predictive analytics to forecast yields weeks before harvest—enabling better planning for storage, logistics, and market timing
Manage Livestock Intelligently: Implement AI systems for health monitoring, behavior analysis, feeding optimization, and breeding decisions that improve animal welfare while increasing productivity
Reduce Post-Harvest Loss: Use AI for quality assessment, optimal storage conditions, predictive maintenance of equipment, and supply chain optimization that reduces the 30-40% of food currently lost between farm and consumer
Navigate Practical Challenges: Address rural connectivity limitations, integrate AI with legacy equipment, manage technology costs against uncertain returns, and build farmer trust in algorithmic recommendations
Build Sustainable Systems: Deploy AI to reduce environmental impact, optimize carbon sequestration, minimize chemical use, protect biodiversity, and document sustainability for increasingly demanding markets
