The ICAR – National Academy of Agricultural Research Management (ICAR-NAARM) has announced a Massive Open Online Course (MOOC) on Artificial Intelligence in Agriculture, scheduled to be conducted from March 1 to March 31, 2026, through its e-learning platform. The online programme is designed to build awareness and practical understanding of Artificial Intelligence and related digital technologies within agriculture and allied sectors.
Registration for the course is open until March 7, 2026, and interested participants are required to apply exclusively through the online registration link. After verification, confirmation of participation will be communicated by email, completing the enrolment process. Access to course content will begin from March 1, 2026.
Course objectives and learning focus
According to the programme outline, the course aims to apprise and sensitize participants about Artificial Intelligence, Machine Learning, Deep Learning, cloud platforms, and AI tools and technologies relevant to agriculture. Alongside conceptual exposure, the course also seeks to demonstrate these advanced technologies and provide hands-on experience, enabling learners to understand their application in real agricultural contexts.
The curriculum is structured to support both theoretical grounding and applied learning, ensuring participants gain familiarity with digital frameworks increasingly used across crop production, advisory systems, and data driven agriculture.
Modular structure and core content areas
The MOOC is divided into four modules: Concepts, AI Tools, Hands-on, and Initiatives. These modules collectively cover Artificial Intelligence and Machine Learning concepts, AI and ML tools used in agriculture, Python programming, hands on image processing for agricultural applications, and ongoing AI initiatives within the agriculture domain.
Each module is designed to progressively build competence, moving from foundational concepts to practical exposure and sector specific use cases.
MOOC and learning workload
The programme follows a fully online format, with content released periodically over four weeks. Most sessions are delivered as video lectures ranging between 15 and 25 minutes, supported by additional resource materials. Each lecture is accompanied by discussion or reflection activities, which participants are required to complete within specified timelines.
The total learning commitment is estimated at 40 hours over a 30-day period. This duration includes engagement with all modules, participation in discussions and reflections, completion of assigned activities, a final online examination, and submission of a project.
Eligibility and participation requirements
The MOOC is open to any graduate or students currently pursuing agriculture and allied courses. Participants are expected to access lessons regularly and complete all activities within the prescribed timeframes to remain eligible for evaluation and certification.
Also read: UWRF Partners with Industry and Alumni to Integrate AI into Agricultural Education
Certification criteria and assessment process
Certification is based on defined performance benchmarks. Participants must secure a minimum qualifying score of 40 for participation and 50 for completion. These scores are calculated from the extent of module access, participation in discussions and reflections, and performance in the online final evaluation.
Only those who meet all evaluation criteria will be declared successful. Regular engagement with course content and timely completion of learning components are mandatory requirements.
Fee structure and certificate issuance
The MOOC is free to access, with no programme fee for registration or participation. However, successful participants who wish to obtain a certificate can download it upon payment of INR 2,000 plus 18 percent GST.
With its structured digital format and integrated learning approach, the MOOC offers students and graduates a consolidated pathway to understand Artificial Intelligence applications in agriculture, combining conceptual instruction with practical exposure over a month long online engagement.
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