Certified AI Product Manager (AIPM)

Certified AI Product Manager (AIPM)

Don't settle for just using AI. Become its Product Manager and lead this new generation of digital products.

Lab
46 hours
En Español

Feb 06 - May 15

Schedule Call

You are looking at the first and only program in Spanish that will teach you how to manage AI-powered products. From identifying opportunities to implementation and optimization, this program will prepare you to lead the AI product lifecycle, understanding its key differences from traditional products.


You will discover how to define, prototype, and validate AI-based solutions, manage their iterative development, and ensure their effective operation in production.

What is it about?

If you lead product, technology, or agile teams, this program will provide you with the tools needed to effectively support teams building AI-powered products. You will learn how to bridge the gap between business and technology, fostering strong discovery, experimentation, and delivery practices in environments where AI is changing the rules of the game.


Throughout the program, you will learn how to define, prototype, and validate AI solutions, make decisions based on impact and feasibility, and collaborate effectively with cross-functional teams. You will also address the unique challenges of AI products, such as data dependency, iterative experimentation, and continuous monitoring to ensure long-term performance.


This practical and strategic approach will enable you to prioritize AI product development aligned with business goals and lead with confidence in a constantly evolving technological landscape. In addition, you will explore how to improve the accuracy of generative models using techniques such as Retrieval-Augmented Generation (RAG), and how to manage the evolution of AI solutions in production.


Whether you are a Product Manager seeking specialization, a Scrum Master or Agile Coach who needs to understand how to support AI teams, or a professional looking to expand your impact in the age of artificial intelligence, this program will give you the tools and knowledge needed to become the bridge between technical teams and business objectives. AI is redefining the future of Product Management. Make sure you are leading it.

What will I achieve?

You will master the fundamentals of AI applied to Product Management: You will understand the key differences between Machine Learning, Deep Learning, and Generative AI, and how to strategically use them to create innovative products.

You will identify real opportunities for AI-powered products: You will learn to detect problems where AI adds value, assess their feasibility, and design solutions aligned with business and user objectives.

You will understand how to select the best AI technology for your product: You will discover how to choose between pre-trained models, custom solutions, or accessible options, ensuring a balance between impact, cost, and technical feasibility.

You will learn to lead interdisciplinary teams in AI projects: You will develop the skills to collaborate with data scientists, engineers, and stakeholders, translating business strategy into effective technical decisions.

You will learn to prototype, test, and refine AI solutions: You will explore advanced techniques to quickly design and validate AI-powered products, optimizing their performance before production implementation.

You will understand the key aspects of managing AI products in production: You will learn to define technical and business metrics, monitor models in production, and mitigate issues like data drift to maximize your product's value.

You will know how to measure and optimize AI product performance: You will be prepared to identify and address ethical and legal challenges, ensuring your products meet necessary privacy and transparency standards.

You will learn to improve the accuracy and reliability of generative models with Retrieval-Augmented Generation (RAG): You will know how to optimize generative AI models using advanced RAG techniques to make them more efficient, precise, and aligned with user context.

Curriculum

1

Kick-Off

This first module is designed to welcome you, set clear expectations for the program, and explain the course logistics. As soon as your participation in the program is confirmed, you will have access to this material to familiarize yourself with the available resources.
2

Week 1: Fundamentals of Artificial Intelligence for PMs

You will get acquainted with the essential fundamentals of AI, including key concepts, types of AI, and use cases across various industries. You will explore the strategic role of the Product Manager in AI projects and how this knowledge transforms technology product management.
3

Week 2: Differences Between Traditional and AI Products

You will discover how AI products differ from traditional digital products. You will learn about their unique lifecycle, including problem definition, training, experimentation, iterative development, and data dependency. You will improve your communication skills in AI.
4

Week 3: Strategic Direction of AI Products

You will learn to strategically identify and validate an AI feature aligned with business objectives. You will explore how to prioritize AI opportunities by connecting them with the product’s vision and mission, maximizing their market impact.
5

Week 4: AI Product Discovery

You will discover how to strategically select and evaluate AI solutions. You will learn how to communicate an effective PRD for AI products, define initial experiments, and align technical efforts with business objectives to maximize results and minimize risks.
6

Week 5: Practical Work Mentorship

You will participate in a group review and discussion of insights gained from the previous week's assignment. This session will allow you to clarify doubts, analyze specific cases, and reflect on key differences between traditional and AI products.
7

Week 6: AI Product Decision and Prototyping

You will explore advanced iterative prototyping techniques with AI and how to leverage models like LLMs for rapid testing and validating innovative ideas. You will learn to transform hypotheses into concrete solutions through functional prototypes.

* We will use no-code tools, so you don't need to have programming knowledge.
8

Week 7: AI Product Delivery (Part 1)

You will explore the origins and capabilities of base models—the output of a large language model’s initial training—and understand why they are prone to hallucinations. You will analyze in-context learning and learn how to transform a base model into a useful assistant through post-training strategies such as advanced prompting, hallucination mitigation, and targeted fine-tuning. By the end, you will be able to assess when each approach is appropriate to boost the accuracy, robustness, and relevance of your AI systems.

* We will use no-code tools, so you don't need to have programming knowledge.
9

Week 8: AI Product Delivery (Part 2)

You will dive into building user-centric conversational chatbots, focusing on equipping them with memory to sustain coherent, personalized interactions. You will uncover Retrieval-Augmented Generation (RAG) workflows that blend knowledge-base queries with language generation, and learn to design architectures that integrate memory and RAG to deliver context-rich, precise, and reliable responses.

* We will use no-code tools, so you don't need to have programming knowledge.
10

Week 9: Practical Work Mentorship

You will participate in a group review and feedback session on the delivery assignment. This space will encourage discussion on best practices, common challenges, and lessons learned, helping you refine your approach to the complete AI delivery cycle.
11

Week 10: AI Product Observability

You will discover how to define relevant metrics for AI products, manage continuous monitoring, and handle issues like data drift. You will learn how to ensure that products deliver sustained value over the long term in dynamic contexts.
12

Week 11: Introduction to AI Agents

You will learn the basic concepts of AI agents, including their architecture and practical use cases in real products. You will explore how to integrate autonomous agents into products to create dynamic and adaptive user experiences.
13

Week 12: AI Agent Development and Operation

You will explore advanced tools and practical strategies for developing, operating, and monitoring AI agents in production. You will learn to optimize their performance and manage their impact in the operational environment.
14

Closing Event & Graduation: Celebration and Community

A special event following the last week of the program, designed to recognize participants' achievements, reflect on the impact of the learning experience, and foster lasting connections among graduates. You will be inspired to apply the knowledge gained and continue growing as AI PMs.

Frequently Asked Questions

Everything you need to know about this course

Yes. You are expected to have prior knowledge of Product Management and/or product experience.
Each participant must have USD 20 in credits available on the OpenAI platform throughout the program.
You will have a blended learning experience combining live sessions with hands-on activities. You should plan to dedicate approximately 3 hours per week.
Yes. Once you complete the program, you will receive access to the Certified AI Product Manager (AIPM) certification exam from Disruption Factory. You will have 30 consecutive days to take the exam, with up to two attempts included.
This is a LIVE program and requires participation in at least 75% of the online sessions. If you have any questions about this, feel free to reach out.

What our graduates say

"It’s a great entry point into the AI world to understand how the role can evolve and where to add value."

Sofia Valperga

"It helps you understand the general concepts of AI from a product perspective in a very didactic way. Highly recommended—it frees your mind so you can dive deeper into learning."

RUBEN STANLEY MORAN MEJIA

RUBEN STANLEY MORAN MEJIA

"The course is very comprehensive and designed for people who need to incorporate AI skills or knowledge into their day-to-day work as Product Managers. "

Giada Gentili

"If you’re interested in applying artificial intelligence in a practical and responsible way, this course is ideal. It not only teaches you how to design solutions with LLMs, but also gives you concrete tools to evaluate, improve, and monitor models in production. It’s very hands-on, and everything you learn can be applied directly to real projects."

Juan Pablo Cordeiro

Juan Pablo Cordeiro

"It provides a solid foundation for the conversations you need to have when planning projects that will use AI. I also find the guidance on moving forward with rapid prototyping very useful. "

Juan Martin Torrecilla

"A great experience. Very interesting, especially in these times. Great coach. "

Yulian Acosta

Yulian Acosta

Your Instructor

Martin Alaimo

Martin Alaimo

Trainer, consultant, and educator dedicated to the creation of Digital Products and Business Agility. To date, he has worked with more than 200 organizations and supported over 8,000 professionals in their career development journeys. His approach is situational and hands-on, delivering immersive learning through innovative experiences that enable practical, immediately applicable outcomes—especially in areas often overlooked by traditional academia. He has spoken at more than 30 conferences across the United States and 14 countries in Latin America and Europe, and is the author of six books on product and digital innovation. His most recent book, AI Strategy Workshop, provides tools to move beyond the “feature factory” mindset and integrate artificial intelligence with strategic intent and real business impact. As part of his commitment to innovation, he is an organizing member of Product Tank, the world’s largest Product Management community, and the creator of Kouls, a platform that aligns organizational strategy with teams’ day-to-day execution, ensuring a strong focus on outcomes. He is one of the few experts to hold the highest-level certifications in Agile practices: Certified Scrum Trainer (CST), Certified Enterprise Coach (CEC), Certified Team Coach (CTC), Certified Agile Leadership Educator (CAL Educator), and Path to CSP Educator. Explore his complete professional profile and thought leadership activities on LinkedIn.

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