Codeliq

Large Language Models (LLMs)

Understand and build applications powered by modern large language models.

Duration
8 weeks (16 classes)
Founding price
$1,900$550

Course Overview

Build applications with language models, useful context, and reliable workflows.

Across eight weeks, explore LLM foundations, prompt engineering, embeddings, RAG systems, applications, evaluation, and open-source workflows.

Understand
Learn the foundations behind language models and transformers.
Build
Create practical applications, chatbots, and RAG workflows.
Evaluate
Assess model output and improve application reliability.

What You’ll Learn

Build practical skills in LLM foundations, prompt engineering, RAG, and reliable AI applications.

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LLM Foundations

Understand tokens, embeddings, transformer architecture, and attention.

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Prompt Engineering

Design structured prompts and interactions that produce clear and reliable results.

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Embeddings and Search

Use embeddings, semantic similarity, and vector search to retrieve relevant information.

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RAG Systems

Build retrieval-augmented workflows grounded in documents and trusted knowledge.

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LLM Applications

Create chatbots, assistants, and practical language-model applications.

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Evaluation and Reliability

Measure output quality, diagnose failures, and reduce hallucinations.

Curriculum

8 weeks (16 classes). Live instructor-led classes.

  1. Week 01

    LLM Foundations

    Explore how large language models process and generate text.

    1. Tokens, context windows, and model behavior
    2. Embeddings, transformers, and attention
  2. Week 02

    Prompt Engineering

    Design structured prompts for useful model responses.

    1. Instructions, context, constraints, and examples
    2. Prompt patterns and iterative refinement
  3. Week 03

    Embeddings and Semantic Search

    Retrieve relevant information using vector representations.

    1. Creating and comparing embeddings
    2. Semantic similarity and vector search
  4. Week 04

    Retrieval-Augmented Generation

    Ground model responses in relevant source material.

    1. Document preparation and retrieval workflows
    2. Connecting retrieved context to model responses
  5. Week 05

    LLM Applications

    Apply language models in useful software experiences.

    1. Chatbots, assistants, and application workflows
    2. Connecting models to application data and services
  6. Week 06

    Evaluation and Reliability

    Assess model responses and identify failure modes.

    1. Output quality, hallucinations, and failure analysis
    2. Evaluation methods and reliability improvements
  7. Week 07

    Open-Source Models

    Explore open-source model tools and workflows.

    1. Hugging Face and open-source model workflows
    2. Fine-tuning concepts and practical considerations
  8. Week 08

    Multimodal AI

    Explore models that work across different content types.

    1. Working with text, images, and other modalities
    2. Applying multimodal models in practical workflows
8 weeks16 live classes1 capstone project

Frequently Asked Questions

Everything you need to know before joining.

This course is designed for developers, technical professionals, university students, and motivated learners who want to build practical applications with modern language models.

Large Language Models (LLMs) Course

Build with modern LLMs

Join the founding cohort and learn to create reliable LLM applications, chatbots, and retrieval-augmented generation systems.