AI & Data Science

Language Models for Beginners

An Introduction to Language Models for Aspiring Professionals

Workload: 296 hours Topics: Natural Language Processing and Text Analytics
Initial Registration โ€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

Language Models for Beginners is a comprehensive training course designed to equip participants with foundational knowledge and practical skills in natural language processing and text analytics. This program emphasizes hands-on learning through project-based activities that foster critical thinking and creativity. Participants will engage in interactive sessions that culminate in a final project, allowing them to apply their understanding of language models in real-world scenarios. The course encourages learners to publish their findings and insights in Cademix Magazine, providing an opportunity for visibility and professional development.
Throughout the course, participants will explore various aspects of language models, including their architecture, applications, and practical implementations. The curriculum is structured to cover essential topics that build a solid foundation in natural language processing, making it suitable for graduates, job seekers, and business professionals. By the end of the program, participants will have gained valuable insights and skills that can enhance their career prospects in the rapidly evolving field of AI and data science.
Introduction to Natural Language Processing (NLP)
Overview of Language Models: Definitions and Types
Understanding Tokenization and Text Preprocessing
Introduction to Word Embeddings and Vector Representations
Exploring Recurrent Neural Networks (RNNs) and LSTMs
Fundamentals of Transformer Architecture
Hands-on Project: Building a Simple Language Model
Techniques for Text Generation and Completion
Evaluating Language Models: Metrics and Best Practices
Final Project: Developing a Language Model for a Specific Application

Learning goal

To provide participants with a foundational understanding of language models and practical skills in natural language processing.

Target group

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Prerequisites

Basic understanding of programming (preferably Python) and familiarity with machine learning concepts.

Format and certification

Teaching method: Project-based, interactive.

Certificate: Certificate of Attendance, Certificate of Expert issued by Cademix Institute of Technology.

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Cademix Institute of Technology e.U.Continuing Education ยท Professional Development ยท Austria