AI and Large Language Model (LLM)

Description

Join our 16-week training program to master the skills of an LLM Engineer. The curriculum is meticulously structured to cover the theoretical foundations alongside practical implementations, giving you essential, direct experience with large language models.

 

Syllabus:

 

Version-2(2025)

 

Model	content	hours
1	Introduction to Large Language Models	12
2	LLM technologies	20
3	LLM app solution and platform	20
4	Advanced topics	4
5	Final Project and Evaluation	8

 

Module 1

• Introduction to Large Language Models (12 hours)
• AI Basic
• Deep learning for LLM
• NLP foundation for LLM
• Transformer Architecture and Core Concepts
• Pre-Training and Fine-Tuning
• LLM Training Pipeline
• LLM Deployment and Optimization

 

Module 2

• LLM technologies  ( 20 hours)
• Prompt engineering
• RAG system and its optimization
• Coding lab
• Fine tuning ( 2 hours)
• Coding lab
• Agent system ( 2 hours)
• Coding lab

 

Module 3

• LLM app solutions platforms (20 hours)
• Server client architect / SAAS
• OpenAI APIs
• Opensource LLM model
• Langchain
• Hugging Face LLM

 

Module 4

• Advanced topics (4 hours)
• Hallucination and how to solve
• LLM Ethics, Bias
• Security / safety

 

 

Module 5

• Final Project and Evaluation
• Project name: LawGPT

 

The Law GPT application leverages advanced AI technologies to offer a user-friendly platform for legal assistance, focusing particularly on immigration law. It integrates LLM functions and RAG (Retrieval-Augmented Generation) to enhance response quality by grounding answers in relevant documents. The system handles diverse user queries by generating insightful, context-aware responses.

WHY CHOOSE US?

• Certificate from IDEAS
• Industry hand-on coding and analysis experience
• Three end-to-end industry projects
• Mock interview with senior  interviewer
• Job referrals in IDEAS community

(If you don’t have statistics or Python knowledge, please contact us, we will provide related courses.)