Professional training and certification program, starting a new career in AI agricultural industry

Certified Artificial Intelligence Farming Professional (CAIFP) is a training and certification program for candidates who are already working, want to start a new career or sustainable developer in the agricultural industry. CAIFP (which originally Certified Farming Data Analyst) was created in the late 2000s as an agricultural technology and sustainable education program. CAIFP program has been through many changes since its creation. The program is currently owned and managed by the AI Farming Technology University. The group also operates the AI farming technology worldwide.

This program does not require any programming or computer science expertise and is designed to introduce the basics to advance level of A.I. and agricultural jobs to anyone whether you have a technical or farming background or not.
The program requires 30+ hours to complete.

Financial aid available, for detail, please contact finance@aifarmtech.com
For program enrollment detail, please contact training@aifarmtech.com

The CAIFP program is aimed at candidates who want to work in one or more of the following roles:

• Agricultural Operations Manager
• Food Scientist
• Agricultural Engineer
• Agronomy Sales Manager
• Environmental Engineer
• Agricultural Economist
• Agricultural Lawyer
• Teachers
• Students

CAIFP Certification Program Details

CAIFP certification are offered worldwide through our certificated education center and farmlands. Face to face or online computer tutorial teaching by farming experts and 30 hours farmland operations experience are required.

Each program exam is configured individually, with factors ranging from the following:

• Number of Multiple Choices questions (50 to 70)
• Number of Short essay questions (3 to 5)
• Passing score (60% )
• Time limit (90 minute)
• 30 hours of FarmingPractice

If a candidate past an exam and fail to achieve the 30 hours farmland operations, they must wait for next farmland operation season to complete the program. After this, there is a retake waiting period of 12 months for each subsequent failed attempt.

CAIFP Certification Main Focus

The current CAIFP program consists of the following certification tracks:

• AI Farming Introduction and concept of Data Collection and Decision Making [CAIFP-001]
• Environment and Plants [CAIFP-002]
• Seed Planting [CAIFP-003]
• Seed Germination [CAIFP-004]
• Growth Process and Influence factors [CAIFP-005]
• Influence of flowering time [CAIFP-006]
• Identifying Plant Pests and Diseases [CAIFP-007]
• AI Farming platform and hardware setup and Implementation [CAIFP-008]
• Farming operations planning and Practice [CAIFP-009]
• AI Security Management (honor class) [CAIFP-010]
• Future Impact to Space of Artificial Intelligence (honor class) [CAIFP-011]

AI Farming Introduction and concept of Data Collection and Decision Making [CAIFP-001]

Demonstrate an understanding of and use AI Farming technology platform and hardware.

1. Understand what is AI, its applications and use cases and how it is transforming farming operations
2. Basic concept of AI Farming technology platform and hardware
3. Demonstration of AI Farming technology platform for specific farmland

Environment and Plants [CAIFP-002]

To understand the differences between plants and animals, the life cycle of plants, and to gain an initial understanding of the environmental factors that affect plants.

1. Plants and animals are the same?
2. Life cycle of 4-5 stages
3. Key environmental factors required for plant growing

Seed Planting [CAIFP-003]

There are differences in the shape and characteristics of different seeds, the anatomical structure of seeds, and the function of tissue organs.

1. Plant seed differences on its late germination
2. Understanding the structure of seeds and the factors that affect seed germination

Seed Germination [CAIFP-004]

To understand the seed germination process intuitively, to analyze the key factors affecting the length of seed germination, and to carry out various types of seed germination.

1. Seed germination process explanation and principle
2. Reveal the factors affecting the rate of seed germination
3. Operating plant seeding process

Growth Process and Influence factors [CAIFP-005]

Analyzing the principle of plant growth, to explore the function and role of the organs of plant tissues, and to influence the influence of external factors on plant growth.

1. The plant organizations of the function of the detailed description, as well as its role process
2. Analysis of the outside factors on plant growth principle

Influence of flowering time [CAIFP-006]

To understand the process of plant flowering and the influence of the external environment on plant flowering results.

1. Plant bud formation process, and internal factors
2. The structure of the flower and the fruit
3. Basic skills for Influencing of flowering time

Identifying Plant Pests and Diseases [CAIFP-007]

To summarize the main pests and diseases of vegetables and the period of occurrence, and how to carry out prevention and control.

1. The impact of pests and diseases on plant growth
2. Main pests and diseases occurring at all stages of vegetables
3. How to plan and measures to prevent and control pests and diseases

AI Farming platform, hardware setup and Implementation [CAIFP-008]

Introducing AI farming technology including software and hardware implementation to farmland or operations.  

1. Learn how to analyze farming data and plan for next action
2. Setup AI Farming technology platform and hardware
3. Implement the technology to farmland

Farming operations planning and Practice [CAIFP-009]

Plan and Practice different seeding processes in farmlands, to formulate soil matrix and manage seedling practice with A.I. decision support.

1. Setup and install A.I. Farming Software and Hardware
2. Analyze Data and follow A.I. suggestion for farming operations
3. Based on big data to plan farming operations
4. Practical soil matrix preparation
5. Seed treatment, and water absorption
6. Transfer seedling and its precaution
7. 30 hours farmland practice

AI Security Management (honor class) [CAIFP-010]

Secure enterprise level valuable information assets by applying ISO standard to business. Use A.I. to build an information security management system (ISMS) designed for specific needs.

1. Engage the whole business with good internal communication with A.I.
2. Get customer and supplier feedback on current information security
3. Map out and share roles, responsibilities, and timescales
4. Adapt the AI Farming principles of the ISO standard to business
5. Share A.I. and ESG knowledge and encourage staff to train as internal auditors
6. 20 hours Work shop to setup and audit secure A.I. application

Future Impact to Space+Farming of Artificial Intelligence (honor class) [CAIFP-011]

Explore generative A.I. impact and how it can be applied in a Space business context to gain strategic advantage.

1. Develop a road map for Space and Farming business to gain strategic advantage through the use of artificial intelligence
2. Analyze Data and review existing AI Farming model suggestion accuracy
3. Based on future non happened data to plan space and farming operations
4. how to gain strategic advantage through the use of different kinds of intelligence
5. Explore A.I. and how it can be applied in a space and farming business to gain strategic advantage
6. Evaluate the appropriateness of space and farming application for robotics
7. Assess the impact of A.I. on the future of work and society

Financial aid available, for detail, please contact finance@aifarmtech.com
For program enrollment detail, please contact training@aifarmtech.com
For Coporate Sustainable Development and Training Program, please contact info@consilium.edu.hk or
Phone: +852-27183388

Our Sustainable AI Farming Technology Course is world first leading AI Farming Technology course which is managed by Consilium Education Company Limited. It is certified by SDG Impact Council and found to be in accordance with the goal of the Sustainable Development Goals Framework.