Building Agentic AI Applications for Product & Localization
A Practical Guide for Product and Localization Management Using No/Low-Code AI Solutions
Instructor: Rafał Jaworski, PhD
Tech Lead at PwC, Academic lecturer at AMU Poznań
LocLearn
Global. Ready. Go.
About this program
As global companies shape their AI strategies and explore real-world use cases, this dynamic and hands-on course offers Product and Localization professionals the practical know-how and tools to integrate AI into their end-to-end localization workflows and global product launch cycles.
Designed to cut through the hype and get straight to implementation, this course emphasizes clarity, adaptability, and innovation. Participants will learn how to design and deploy agentic AI applications with a focus on no/low-code solutions, enabling immediate experimentation and actionable takeaways.
Key Learning Themes:
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What Agentic AI is, how it compares to LLM prompting and how it is taking over the AI landscape
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Core concepts of Agentic AI: RAG, Memory, Tool Integrations, Guardrails
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Contextual AI: using knowledge base to enhance the quality of AI results
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Explainable AI: providing a justification for the AI output
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The principles of Upfront and Adaptable Agility in AI-enabled, global-ready product development
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Transcreation and local content origination with focused agentic AI tools
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Evaluation frameworks, continuous monitoring and improvement of AI solutions
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Building trust, transparency, and ethical governance in AI-driven products
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Creating user experiences that emphasize safety, explainability, and control
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Real-time collaboration through interactive group experimentations
Email Talia at talia@yewser.net and Rafał at rafciujaw@gmail.com for any questions.
LocLearn
Global. Ready. Go.
Building Agentic AI Applications for Product & Localization
A Practical Guide for Product and Localization Management Using No/Low-Code AI Solutions
Course schedule
Five interactive live (real-time) class sessions on Zoom, with applied use case practices. Total of 10 class hours + office hours. $550 per participant.
Course dates/time:
Oct 2, 9, 16, 23, 30, 2025
9 am-11 am Pacific Time
Live Zoom
All registered participants get the video recordings of all live Zoom class sessions after each class and all the training materials before the course begins.
20% discount! In group registration of 3 people or more with promo code AgenticAI20
*LocLearn participants are invited to free in-person industry networking events and professional connections.
Testimonials from former course participants
“Thank you so much for such a great course! It was incredibly informative and very well presented. Rafał's passion and depth of knowledge made it even more fun. Being able to discuss with other professionals in the field was also a plus. This training was a good combination of learning, playing around with AI, and networking with other professionals. My key takeaways: Understanding how AI works to help me utilize it effectively in my work. Introduction to Multilingual LLMs and applied learning, practicing training models, so I can actually do it myself in the future when it becomes a bigger part of my current job.”
Marie Catherine Le Gall, Localization Manager at Kaffekapslen. Denmark
On course completion, you'll be able to:
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Design and manage custom AI-assisted localization and product management pipelines.
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Leverage no/low code platforms for AI experimentation and scalable deployment.
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Manage trade-offs: latency, accuracy, and cost.
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Scope and prioritize use cases with innovation and oversight in mind.
Who is this for?
The course welcomes professionals from the area of localization, product management and all other industries which can benefit from the cutting-edge agentic AI solutions. No technical software programming skills, nor industry experience are required to join this training. The course will specifically help translation & localization project and program managers, product management experts, project managers and everyone who is focused on boosting productivity by using workflow automation, content generation and automatic quality assurance.
About the program trainer
Rafał Jaworski, PhD, is an academic researcher, computer scientist, engineer and educator, specializing in language processing and Artificial Intelligence.
Rafał works as Technical Lead at PwC and develops AI-powered mechanisms ready to use in production environments. He also holds the position of Assistant Professor at the Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań, Poland.
Rafał’s main focus is on the development of innovative and usable algorithms. As this requires wide and interdisciplinary cooperation, Rafał’s mission is to educate about AI and other innovative techniques.
Besides teaching academic courses, he gives thought provoking and engaging conference presentations across the globe.
San Francisco, CA. Talia Zur Baruch. talia@yewser.net