Building Real-world GenAI systems

Course Overview

In this course, VietAI will provide in-depth insights into cutting-edge LLM systems, equipping you with practical skills to build AI-powered products and startups.

This course covers both breadth and depth in LLM deployment,from fundamental concepts to advanced techniques and applications. You will start with an introduction to LLMs, exploring different model providers such as OpenAI, Gemini, Together, and Claude. Then, you will dive into implementation strategies, including embedding techniques, advanced RAG, fine-tuning methods, and deployment strategies.

You will gain hands-on experience with various tools and platforms such as OpenAI, Google, Hugging Face, and more. By the end of the course, you will have the knowledge and skills to effectively implement and deploy LLMs across different industries and businesses. This is also a valuable opportunity to become a pioneer in the rapidly evolving LLM field.

Entry requirements

• Basic programming skills: Proficiency in at least one programming language, preferably Python, which is widely used in machine learning and data science.
• Experience with basic LLM usage and prompting techniques.
• Hands-on experience with real-world data (Hands-on experience with real-world data)
  Working with raw data can be valuable when dealing with unprocessed datasets in businesses, helping you better understand how to apply LLMs in real-world scenarios.