Building Agentic AI Applications for Product & Localization, Cohort 2
A Practical Guide for Product and Localization Management Using No/Low-Code AI Solutions
Instructor: Rafał Jaworski, PhD
Principal AI Engineering, Tech Lead at PwC, Academic lecturer at AMU Poznań
LocLearn
Global. Ready. Go.
About this program
Course cohort 1 SOLD OUT. Registration is now open for this 2nd Course Cohort (January 15-February 12, 2026)!
This practical upskilling course breaks down the core components of agentic AI workflows, including chat models, reasoning models, knowledge bases, memory tool integrations, and real-world applications. Participants will gain hands-on experience using the n8n platform.
As global companies race to define their AI infrastructure and delivery strategies, this dynamic, applied course equips product and localization professionals with timely, practical expertise for integrating AI into end-to-end localization workflows and global product launch cycles. Designed to cut through the hype and focus on real implementation, this friendly & fun training offers clarity, adaptability, and innovative solutions.
Participants will learn to design and deploy agentic AI applications using no-code/low-code methods that support rapid experimentation and deliver actionable, ready-to-use insights.
🌟 15% discount in group registration of 3 or more! Use code: AgenticAI-team 🌟
Build Agentic AI Applications for Product & Localization
Recap video: Agentic AI LocLearn course
LocLearn Upskill on Building Agentic AI Applications for Product & Localization: about this course
Building Agentic AI for Product Localization: course intro teaser video
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
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​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. $595 per participant.
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Course dates/time:
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January 15, 22, 29 & February 5, 12, 2026
9 am-11 am Pacific Time
Live Zoom
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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. ​​​
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​15% discount! In group registration of 3 people or more with promo code AgenticAI-team
*LocLearn participants are invited to free in-person industry networking events and professional connections.
Testimonials from former course participants
“My learning experience at the LocLearn course on ‘Building Agentic AI Applications for Product & Localization’ really helped me understand how autonomous AI workflows can support complex decision-making, optimize tasks, and empower teams. I’m excited to bring this knowledge into my projects and keep exploring the intersection between AI and localization. A huge thank you to Talia Zur Baruch and The LocLearn Upskill School for making this possible, and to Dr. RafaÅ‚ Jaworski for delivering the training--your clarity, structure, and passionate insights made all the difference!”
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Giulia Sgargetta, Italian Quality Engineer at ServiceNow
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.
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RafaÅ‚’s main focus is on the development of innovative and usable algorithms. As this requires wide and interdisciplinary cooperation, RafaÅ‚’s mission is to educate about AI and other innovative techniques.
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Besides teaching academic courses, he gives thought provoking and engaging conference presentations across the globe.
San Francisco, CA. Talia Zur Baruch. talia@yewser.net