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IoT Smart Farming Course for Beginners & Engineers
The IoT smart farming course introduces the theory and practical work behind connected agricultural models. The source describes routes for non-engineers and engineers, starting with IoT, simple electronics and graphic programming before connecting and controlling a model farm.
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Why an IoT smart farming course welcomes different backgrounds
The original page invites people from different occupations to explore agricultural ideas using internet, electronic and digital technology. Its purpose is to make the foundations approachable, including for people who do not work in engineering.
Creative ideas from different backgrounds can inform a new product, service or process. The course is presented as a place to learn and experiment with a model, not a guarantee of farm productivity, income or reduced commercial risk.
For engineers, the source retains the same topic framework because engineering backgrounds differ. Teaching moves faster or explores topics more deeply where the learners’ experience supports it.
Six learning topics in the IoT smart farming course
1. Modern agriculture and why technology may be applied to a farm. 2. Foundations of IoT, electronics and programming.
3. Designing an agricultural IoT system through explanation and practical work. 4. Connecting the system and its components.
5. Writing a control program. 6. Controlling devices and displaying readings through the internet. The source combines theory with hands-on work across these topics.
The aim is to understand a small learning system and discuss how its ideas relate to the learner’s own plans. The published outline does not constitute a validated design for unattended commercial farm operation.
Training equipment and preparation
The institute provides a microcontroller board, sensors, a small pump system and a model farm for learning use. Equipment is borrowed during the course; anyone wishing to purchase it is asked to notify the team in advance.
The source asks learners to be comfortable using a computer, an Android smartphone and the internet. Previous programming or electronics experience can help, but the non-engineer route starts with foundations.
The original equipment note requests a laptop with USB 2.0 and names Windows 8 or 10. These are legacy specifications from the page. Confirm a currently supported operating system, software and USB requirements with the team before buying or configuring a computer. If institute equipment is needed, ask in advance.
Published format, fee and venue
The source lists a small group of no more than six learners, lectures and hands-on work over Thursday and Friday, 09:00-16:00, with lunch from 12:00-13:00.
The listed registration fee is THB 3,000, including lunch and an afternoon break. This is the amount in the published outline, not a newly verified quotation. Confirm the current fee, inclusions, dates and availability directly.
The stated venue is the second floor of the KCC building, Silom Soi 9, Bang Rak, Bangkok, near Chong Nonsi BTS. Confirm the current venue and address before travelling.
Instructor and relevant experience in the source
The page identifies Teacher Num and describes more than twenty years teaching children and adults in computers, microcontrollers and robotics at the time of that profile.
The listed qualifications are a master’s degree in robotics and automation from FIBO, KMUTT; an undergraduate robotics/mechatronics degree from Southeast Asia University; an MBA in marketing; and an undergraduate computer degree from Bansomdejchaopraya Rajabhat University.
The profile mentions earlier innovation support from NIA and digital-project support from SIPA. These are statements in the school’s profile, not a claim of a current grant or agency endorsement for a new booking.
Discuss an appropriate next step
The IoT smart farming course is described for people interested in digital technology, robotics, IoT and programming; people with an agricultural-system idea; and those who want to learn through practical work.
Tell the team about your background, familiarity with electronics/programming and the idea you want to explore. Ask whether the beginner or engineering pace is suitable and which equipment and software are currently used.
Confirm dates, venue, fees, equipment borrowing or purchase arrangements and laptop compatibility. Adult digital-skills training is a related option for people seeking a broader introduction to robotics and automation.
Original photographs and artwork
These images are retained from the original page as examples of published learning activities and programme information. Some contain Thai text or historical dates. They do not guarantee the same result for a new learner. Confirm current programmes with the team.
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Frequently asked questions
Is the IoT smart farming course only for engineers?
No. The source provides a non-engineer route as well as an engineering route. Engineers use the same topics at a pace and depth suited to their background.
What equipment is used?
The source lists a microcontroller board, sensors, a small pump system and a model farm provided for learning use. Confirm current hardware and software with the team.
Can participants keep the training equipment?
Equipment is borrowed from the institute. The source asks anyone interested in purchasing it to give advance notice; purchase is not stated as included in the fee.
What price and timetable are published?
The original outline lists THB 3,000 including lunch and an afternoon break, Thursday-Friday 09:00-16:00, maximum six learners. Confirm current dates, price and inclusions before booking.
Should I install the old Windows versions named in the source?
Treat Windows 8/10 and USB 2.0 as legacy specifications in the original page. Ask for current supported software, operating-system and connection requirements before configuring a laptop.
Does training guarantee a commercial farm result?
No. It introduces concepts and a learning model. Discuss the practical needs of a real farm separately; no productivity, income or unattended-operation guarantee is stated.
Contact and related pages
Tell the team about the learner or organisation, relevant experience and the intended learning purpose. Confirm the current programme, equipment, availability, schedule and fees before booking.
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