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Welcome to the AI4EAC Innovation Challenge Agriculture stream. This stream is aimed at Advanced AI practitioners; a strong grasp of AI and machine learning techniques is recommended, especially in the field of computer vision.

We recommend that everyone starts with one of the foundational AI courses offered by Microsoft, Oracle or IBM SkillsBuild. After that, we have provided a selection of webinars and courses offered by our incredible network of partners, as well as practice challenges to help you build your skills in AI for Agriculture and work towards the final challenge, an AI Agriculture Challenge hosted on Zindi on 28-29 March.

Please explore the content available to you on this page - note that webinars are live events, while courses are always available. Practice Challenges and office hours will become available later in the Programme. There are no course requirements for participation in this programme - the content is freely available to all. Certificates will be awarded at the end of the programme based on your level of participation.

Courses

Introduction to Agriculture Data Analytics

Introduction to Agriculture Data Analytics

Provider: Oracle

Learn the basics of analysing datasets and uncovering patterns to support decision-making.

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Introduction to Agriculture Data Analytics

Introduction to Agriculture Data Analytics

Provider: IBM

Learn the basics of analysing datasets and uncovering patterns to support decision-making.

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Introduction to Agriculture Data Analytics

Introduction to Agriculture Data Analytics

Provider: Microsoft

Learn the basics of analysing datasets and uncovering patterns to support decision-making.

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Introduction to AI in Agriculture