Wednesday, May 6, 2026

Fundamentals of Artificial Intelligence: Basics of Large Models

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VIRTUAL CLASSROOM TRAINING

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CLASSROOM TRAINING

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RECORDED TRAINING

This course includes:

Learning Path

  • Strategies for dataset selection and model development
  • Techniques in dimensionality reduction
  • Understanding latent space and its significance
  • Approaches to sampling and evaluation
  • Assessing model performance and accuracy

Overview

This course offers a comprehensive introduction to Large Language Models (LLMs)  the foundation of today’s most disruptive AI breakthroughs (GPT, DeepSeek, Claude, Gemini and beyond). With AI rapidly reshaping industries and daily life, a clear understanding of how large models are built, trained, and applied has become a strategic skill for professionals across every sector. The training walks learners through the fundamental concepts, the development history, the training process, and the typical application scenarios of large models, providing a systematic understanding of how these systems work and how to integrate them effectively into real-world workflows.

 

Who is the course for?

  • Professionals, engineers, students, and AI enthusiasts seeking a clear foundational understanding of Large Language Models and their real-world applications across industries.

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