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Diplomas

Diploma in Agri Food Tech and Artificial Intelligence

Start date:

10.06.2026
Duration: 4 months
Modality: Online

 

Digitalization, new technologies, and the integration of artificial intelligence are redefining how production, management, and decision-making occur in the agricultural and food supply chain. In this context, understanding the technology is no longer enough: the real challenge is knowing how to apply it to generate a real impact on agribusinesses.

La Diploma in Agri Food Tech and Artificial Intelligence This program offers training focused on analyzing technologies applied to agriculture and food, evaluating their impact, rethinking business models, and making strategic decisions based on data, innovation, and ecosystem knowledge. Throughout the program, you will work with real-world case studies and concrete approaches that will allow you to apply what you learn to your professional practice.

 

 

It's not just about knowing trends, but about turning the digital transformation of agriculture into real opportunities for professional and organizational development.

 

Graduate Testimonials

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“Agriculture is the same for everyone, but each person experiences and manages it in a unique way.”

This diploma program allowed me to discover diversity through learning with professionals from different countries, realities, and production systems. Sharing experiences with people from the other side of the world, with completely different soils, crops, scales, and policies, was transformative. It opens your mind, expands your possibilities, and invites you to look at agriculture from perspectives you had never imagined.

My advice: if you have the opportunity, don't miss it. This diploma program will show you a different, dynamic, and profoundly modern approach to agriculture. The future of agriculture is already here; you just have to understand it, adapt to it, and implement it.

Nazaret Mateos || CEO EntreSetas and Director of the RefoSetas project
1760361907525 (1)

“Each meeting was like digging a shovel into an anthill of ideas.”

A few days ago I had the pleasure of sharing the last meeting of the Diploma in AgriFoodTech of the Universidad AustralEvery Wednesday, throughout the course, it was like sticking a shovel into the anthill of ideas and seeing them all come out energetically.

I want to especially thank all the colleagues who made this training a unique experience with their contributions, and the business representatives who accompanied us with their stories and actions, which were truly inspiring.

Special thanks also to José Gobbée and Carlos Becco, who led this training with great competence and approachability.

Fausto Marchesini || Agricultural Engineer - AgTech - Data Science
1740776902882

“A new step in my professional development.”

I completed the Diploma in AgriFoodTech from the Universidad Australwhere I acquired key tools and knowledge about the trends that will shape the future of agriculture and food.

I want to thank everyone who shared their knowledge and provided us with tools throughout these months; their contribution made this experience much more valuable.

Special thanks to Carlos Becco and José Gobbée for accompanying and leading this training journey.

Nicolás Aruanno || Business Administration - Digital Specialist & Analytics - Agrifood & FCMG
1747319026938

"An experience that provides knowledge and a new way of thinking."

Grateful to José Gobbée, Carlos Becco and everyone who made this great diploma course possible.

Besides gaining valuable knowledge, I'm taking away a new way of thinking about business models in the agricultural world, technology, and the new trends of future consumers.

Franco Pautasso || Commercial and Finance Manager - Cortona y Pautasso SA

Explore this academic proposal

This diploma program is aimed at people who currently make or influence decisions within the agri-food ecosystem —in public or private organizations— and face the challenge of incorporating technology without losing sight of the business, production and the reality of the sector.

It is for professionals, producers, entrepreneurs or business owners who live with new tools, data and technological proposals, but need clear criteria to evaluate what is worth adopting, when to do it and with what impact.

It is also a suitable proposal for those who lead areas or teams and seek to build a shared vision on innovation and transformation, aligned with the real challenges of agriculture and food.

Applied and strategic approach: This diploma program is not limited to exploring trends. It is designed to help you develop critical thinking skills: when a technology adds value, how to integrate it, and what real impact it can have on processes, business models, and organizations within the agri-food ecosystem.

Technology at the service of business: Artificial intelligence and new technologies are addressed as tools for solving specific challenges in the sector. The focus is not on the technology itself, but on its practical application, its limitations, and its real contribution to decision-making and value creation.

Teachers with experience in the Agri Food Tech ecosystem: The faculty combines academic training with professional experience in the sector. This allows for diverse perspectives, real-world case studies, and discussions grounded in concrete situations within agriculture, the food industry, and technological innovation.

Decision-oriented design: The program is designed for professionals who need to make better decisions in complex situations. Therefore, it prioritizes analysis, reflection, and practical application over the accumulation of content, allowing participants to transfer what they learn to their daily work from the very beginning of the course.

A proposal aligned with the current challenges of the sector: The diploma program is updated to reflect technological changes and the evolving agri-food ecosystem. It incorporates artificial intelligence as part of a broader transformation and addresses the real challenges facing professionals in the sector today.

You will learn to evaluate technologies applied to agriculture with sound judgment, understanding when they provide real value and when they do not, before investing time, money or resources.

You will develop the ability to read data, information, and technological proposals to turn them into concrete decisions about production, management, and business models.

You will incorporate tools to analyze risks, opportunities and returns in digitalization, innovation and artificial intelligence projects within the agri-food sector.

You will work with real cases to apply what you have learned in your professional activity, company or business venture, avoiding theoretical solutions or those disconnected from practice.

The diploma program is structured in modules and topics that are articulated in a progressive path.: understand the context of the sector, analyze the impact of new technologies, evaluate strategic decisions and apply concrete solutions in the AgriFoodTech ecosystem.

Stage 1 · Introductory – Trends

(Introductory face-to-face class – IAE Business School)

This stage introduces the global and sectoral context in which agribusiness and the food industry operate today. It allows for an understanding of the structural challenges of production, changes in consumer behavior, and the role that new technologies—including artificial intelligence—are beginning to play as part of the potential solutions.

Themes

  • New challenges in food production
  • The demands of new consumers
  • Production and regulatory restrictions
  • Impact of artificial intelligence and new technologies on agribusiness
  • Technology and innovation as part of the solution

Stage 2 · New technologies and impact on the chain

In this stage, you will understand the main emerging technologies and their impact on the economy and the agri-food chain. The focus is on understanding how they work, where they generate value, and in what contexts they make sense, beyond the technical aspects.

Themes

  • Artificial Intelligence: key concepts, Machine Learning, Deep Learning, Generative AI, Computer Vision, supervised and unsupervised models, LLMs, SLMs and agents
  • Impact of AI on the economy and other industries
  • Data analysis, data science and Big Data applied to agriculture (time series and use cases)
  • Blockchain: traceability, distributed consensus, logistics and supply chain
  • Connectivity and processing: cellular, satellite and remote sensors (SpaceX, Satellogic and others)

Stage 3 · Artificial intelligence and disruption in business models

This stage focuses on analyzing how technology and artificial intelligence are redefining business models in agribusiness and other industries. It allows for the identification of innovation opportunities, an understanding of digitization processes, and an evaluation of their strategic impact.

Themes

  • Artificial Intelligence applied to agriculture and agribusiness
  • Innovation and disruptive new business models
  • Real-world case studies: Amazon–Whole Foods, FBN Farmers Business Network, Climate FieldView
  • Digitization of the company and measurement of indicators
  • Digitization strategies, diagnosis and cultural roadmap
  • Digital Transformation 4.0 Case Study

Stage 4 · Design and application of AI in agri-food companies

At this stage, the focus is on the concrete application. You will work on how to design, evaluate, and implement artificial intelligence initiatives in organizations within the sector, considering both the economic impact and the risks and organizational culture.

Themes

  • Designing a comprehensive AI plan for an agribusiness
  • Technology planning and roadmap
  • ROI and risk assessment
  • Evaluation of available technologies
  • Organizational culture and implementation

Stage 5 · Investments in AI and Agri Food Tech

Venture Capital and Financing Models

This stage allows us to understand how AgriFoodTech projects are financed and what the most relevant actors, models and instruments of the investment ecosystem are, both at the private and public levels.

Themes

  • Investments in AI and AgriFoodTech
  • Investor groups, funds, and financing stages
  • Angel investors, investment funds, incubators and accelerators
  • Cases: Xperiment, Glocal, Yield Lab, Innventure
  • Corporate Venture, Matching Funds and Impact Funds
  • Government programs, academia and NGOs

Stage 6 · Sustainability and new business models

This stage addresses the link between technology, sustainability and food production, analyzing how new tools allow us to measure impacts, improve production practices and develop more sustainable business models.

Themes

  • Agribusiness and sustainability
  • Impact of technology on sustainable food production
  • Sustainable practices and regenerative agriculture
  • Traceability, measurement and carbon programs
  • Intelligent Irrigation
  • Cases: Puma, Ucropit
  • Digital platforms and main players in the region

Stage 7 · Agri Food Tech Application Verticals

In this stage, different verticals of the AgriFoodTech ecosystem are analyzed, through specific cases, to understand how technology is applied in different links of the agri-food chain.

Themes

  • Digital agricultural platforms
    • Cases: FBN Farmers Business Network, FieldView, Cropwise, Agrosmart, Auravant
  • AI in precision agriculture, degree and autonomy and robotics
    • Case studies: DeepAgro, ZoomAgri
  • AI in e-commerce, digital marketing, marketplaces and AgFintech
    • Ag E-commerce and AI application

    • Marketplaces: inputs, outputs, enablers and aggregators

    • Omnichannel and new business strategies

    • AI and tools for digital marketing

    • AI agents for customer service

    • AgFintech and cryptocurrencies in AgriFoodTech

    • Cases: Agrofy, BioPolos, Pago Rural, Agrotoken, ORBIA

  • Food Tech
    • New technologies in food design

    • New consumer, traceability and sustainability

    • Alternative proteins

    • Case studies: NotCo, Tomorrow Foods, Frizata, Felices las Vacas, Michroma

  • AnimalTech
    • AI in livestock and animal production

    • Sustainable production of animal protein

    • Impact on meat, milk, pork and poultry

    • Traceability and robotics in dairy farming

    • Cases: IAgro, NVIDIA Betsy, DigiRodeo

    • Antibiotics and probiotics

IN-PERSON CLOSING · ROSARIO

The diploma program concludes with an integrative in-person day in the city of Rosariowhich includes visits to companies in the AgriFoodTech ecosystem and a final integration class, aimed at consolidating learning and connecting the content with real experiences in the sector.

The diploma program is offered in synchronous online mode, with weekly meetings that allow for a continuous learning process, compatible with the work dynamics of the agri-food sector.

Classes are held on the days Wednesday from 18 to 21 pm (Argentina)The program consists of 3 hours of instruction per session, combining analysis, discussion, and work on real-world cases. The total duration of the program is 60 synchronous hours, supplemented by reading materials and asynchronous content that delves deeper into the topics covered in class.

The proposal is completed with two in-person days specially designed to enrich the learning experience:

  • The introductory class takes place in the IAE Business School, generating a space for meeting, exchange and strategic framing of the program;
  • and the in-person closure at the headquarters Rosario of the University offers Visits to companies in the Agri Food Tech ecosystem, bringing learning closer to concrete experiences in the sector.

The Faculties of Business Sciences and Engineering of the Universidad Austral, will issue the Academic Certificate of approval of the "Diploma in Agri Food Tech and Artificial Intelligence" to those who comply with the promotion regime.

It consists of complying with the 75% class attendance.

Throughout its various editions, the program featured the participation of leading figures in the AgriFoodTech ecosystem, from companies, startups, international organizations, and investment funds, who shared real-world experiences and concrete case studies from the sector. Some of them included:

Juan Manuel Baruffaldi

Juan Manuel Baruffaldi

CEO · DeepAgro

Rois Nogueir

Rois Nogueira

Marketing Manager · John Deere

 

https://www.linkedin.com/in/juancabrera/

John Cabrera

Founder & CEO · Xperiment Ventures

 

Mayco Mansilla

Mayco Mansilla

CEO · Innventure

 

Guillermo Delgado

Guillermo Delgado

Head Sustainability · Syngenta

 

Federico Bayle

Federico Bayle

CEO · Dymaxion Labs

 

Federico Bayle

Ricardo Cassini

CEO · Microma

 

Federico Bayle

Juan Manuel Birolo

CEO · Bipoles

 

La Universidad Austral has exclusive enrollment benefits regarding current values. These include: corporate agreementsSouthern Community, distance benefits, early registration, among others.

They are subject to quotaFor more information, please consult with the executive in charge.

Meet some of our teachers

José Gobbée

José Gobbée - Academic director

Expert in strategy, innovation, and management of agricultural and food companies in Latin America. Over 30 years advising companies, funds, and AgTech and FoodTech initiatives, combining international experience with teaching in MBA and postgraduate programs.

Bernardo Piazzardi


MBA Bernardo Piazzardi

Director of the Agribusiness and Food Center of the Universidad Austral and Executive Director of the MBA in Agribusiness. Expert in corporate governance, agribusiness development and capital markets, with extensive experience in international consulting and academic leadership in Latin America.

Eng. Fernando Freytes


Eng. Fernando Freytes

Digital transformation specialist with over 30 years of experience leading technological innovation and business development. Founder of Qaliqay Digital Partners and former Head of IoT at Telecom, with a focus on strategy, leadership, and organizational evolution.

María José Soler


María José Soler

COO of Endeavor Rosario and professor of Business Policy and Entrepreneurship at the Universidad AustralSpecialist in innovation, strategic planning and entrepreneurial development, with training at Babson College, Stanford and IAE Business School.

PhD Anderson Rocha


PhD Anderson Rocha

Full Professor and researcher in Artificial Intelligence and Digital Forensics at the University of Campinas, IEEE Fellow and Top Voice in AI on LinkedIn. Expert in applied AI and international research projects.

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