Multilingual AI
and Prompt Engineering
Learn how to use the latest multilingual AI technology to enhance global production performance, with professor Rafał Jaworski, PhD
LocLearn
Global. Ready. Go.
About this program
This course presents the latest advancements and techniques in Multilingual AI, NLP (Natural Language Processing) and LLMs (Large Language Models) and provides a guide for enhancing global production performance in our constantly changing environments.
The course will cover the following learnings:
● Foundations of AI: What exactly is Multilingual AI and what are its limitations? We’ll also explore the different types of machine learning.
● Latest achievements in the field of Multilingual AI: Large Language Models, multi-modal models, small and large models: are more parameters always better?
● Current trends and what to expect in the near future? AI evaluation - how to measure the benefits from using AI solutions?
● Prompt engineering and custom model pipeline creation: how to get the most of your language models.
● Practical class exercise: You’ll create your own AI project without having to write a single line of programming code. Some examples of the practice project you can engage in: task-specific chatbot, custom data processing pipeline.
Limited seats available. Register today to secure your spot for this course cohort!
Email Talia at talia@yewser.net and Rafał at rjaworski@xtm.cloud for any questions.
LocLearn
Global. Ready. Go.
Multilingual AI and Prompt Engineering:
How to use new AI technology to enhance global production performance
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.
Lesson 1: February 12, 2025. 9-11am Pacific Time
Introduction to Multilingual AI and Machine Learning
Lesson 2: February 19, 2025. 9-11am Pacific Time
Latest advancements in Multilingual AI: Large Language Models, multi-modal models
Lesson 3: February 26, 2025. 9-11am Pacific Time
Current trends and what to expect in the near future?
Lesson 4: March 5, 2025. 9-11am Pacific Time
Prompt engineering and custom model pipeline creation: how to get the most of your language models.
Lesson 5: March 12, 2025. 9-11am Pacific Time
Practical class exercise: You’ll create your own AI project without having to write a single line of programming code.
Best deal for teams and other group registrations:
20% discount! In group registration of 3 people or more by January 25, 2025 with promo code GROUPREG
*LocLearn participants are invited to free in-person industry networking events and career growth job referrals.
*If you're interested in the Async independent learning class pass for this course, email talia@yewser.net
Testimonials from former students of this course
“Dr. Rafał Jaworski is great at balancing complex theoretical concepts with relevant practical exercises. Participants are equipped with all that’s required to continue developing and perfecting prompt engineering skills.”
Laura Lorusso, Localization Consultant
Those who complete the course will be able to:
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Understand the concepts of AI/Multilingual AI and different approaches to construct it.
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Assess the limitations of AI-based solutions.
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Design AI workflows that maximize productivity.
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Apply AI techniques in localization scenarios.
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Feel confident when talking about AI and become an effective communicator of AI technologies in the international space.
Who is this for?
The course welcomes localization industry professionals who desire to learn about AI and its constantly changing environment. 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, team leads, linguists, language engineers and everyone who is focused on boosting productivity in driving localization projects.
About the program developer & trainer
Rafał Jaworski, PhD, is an academic researcher, computer scientist, engineer and educator, specializing in language processing and Artificial Intelligence.
Rafał works as Principal AI Engineer at XTM International where he develops AI-powered features to aid the translation process. At the same time he 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