The course
"Fundamentals of Large Language Models (LLM)" is a practical introduction to modern artificial intelligence technologies with a focus on working with large language models.
During the training, you will create a full-fledged
question-answer service for PDF documents that operates locally on your computer. This is one of the most in-demand application scenarios for LLM, widely used in modern SaaS products. The course does not require deep knowledge in the field of AI and does not assume the availability of expensive equipment—all solutions run on an ordinary machine.
What You Will Learn
The course combines practice and basic theory necessary for informed work with AI:
- What artificial intelligence is and how it is defined in different fields
- The fundamentals of machine learning and its key approaches (supervised/unsupervised learning)
- The differences between classical ML and generative AI
- The concept of narrow AI and artificial general intelligence (AGI)
- How large language models work at a conceptual level
- Why LLMs are capable of generating text and appear "creative"
Practical Part
The main focus of the course is on the practical use of LLM:
- Working with ready-made language models without the need for training them
- Using APIs and local models
- Building a system that:
- accepts PDF documents
- analyzes their content
- answers user questions
Who This Course Is For
- Developers beginning to work with AI
- Analysts and data specialists
- Technical enthusiasts without a deep mathematical background
- Anyone who wants to apply LLM for solving real-world tasks
Outcome
After completing the course, you will:
- Understand how large language models are structured and operate
- Learn to apply them in real scenarios
- Create your own local AI service for working with documents
- Gain a foundation for further advancement in AI and machine learning
