LLaMA (Large Language Model Meta AI) Courses and Certifications

Working with Llama 3

2380 ratings at DataCamp

Learn to use the Llama Large-Language Model (LLM) What is the Llama LLM, and how can you use it to enhance your projects?

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Llama Fundamentals

This track equips you with the skills to implement Llama 3 for tasks ranging from running inference on pre-trained models to fine-tuning for custom use cases.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Llama for Python Programmers

19 ratings at Coursera

Build Python applications on Llama 2: run open-source models on self-hosted hardware with llama.cpp, and shape output with tokenization, few-shot prompting, and grammars.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Introducing Multimodal Llama 3.2

13 ratings at Coursera

Prompt Llama 3.2 for image reasoning on dashboards and receipts, use system/user/assistant/ipython roles, call built-in and custom tools, and explore Llama Stack API.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Free Online Course

Coursera

Leveraging Llama2 for Advanced AI Solutions

Design LLM solutions with Llama2: compare fine-tuning and optimization techniques, and build retrieval-augmented Q&A over the Llama2 paper using Ollama, LangChain, and Streamlit.

• Coursera
• 2 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Classifying Emails using Llama

Build a Python email classifier with the local Llama 3.2 3B-Instruct model, using interactive chat completions to sort incoming messages without external APIs.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Code Your Own Llama 4 LLM from Scratch - Full Course

Build a Llama 4–style language model from scratch by implementing tokenization, embeddings, self-attention, rotary positional embeddings, and feed-forward layers.

• freeCodeCamp
• 3 hours 29 minutes
• Self-Paced
• Free Video

Shaw Talebi

How to Build an LLM from Scratch - An Overview

Explore the key steps in building a foundation LLM, from data curation to evaluation, with insights on architecture, training at scale, and design choices for large language models.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Mervin Praison

Fine-Tuning and Deploying LLaMA 3.1 on Hugging Face and Ollama

Step-by-step guide to fine-tune LLaMA 3.1 with custom data, save on Hugging Face and Ollama, and deploy for enhanced AI performance tailored to specific business needs.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

James Briggs

Better Llama with Retrieval Augmented Generation - RAG

1 rating

Learn to enhance Llama 2 using Retrieval Augmented Generation (RAG). Build a pipeline with Pinecone, Llama 2 13B, and integrate it using Hugging Face and LangChain for improved, up-to-date language model performance.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Sam Witteveen

LLaMA2 - What Are the Changes?

Explore the advancements in LLaMA2, including new base models, performance comparisons, and insights into its development and deployment on various platforms.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Sam Witteveen

Investigating the Code Llama Models and Fine-Tuned Alternatives

Explore Code Llama models and fine-tuned alternatives, comparing their capabilities, benchmarks, and recent developments in AI-powered coding assistance.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

echohive

Llama Index - Step by Step Introduction

Step-by-step guide to using Llama Index for document storage, indexing, and querying with customizable LLM settings and prompt helpers. Learn to create, manage, and interact with vector store indexes efficiently.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Part Time Larry

OpenAI and Llama Index - Financial News Analysis

Learn to analyze financial news using OpenAI and Llama Index. Build a system to fetch, index, and query news data, with a focus on practical implementation and code walkthrough.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

James Briggs

Llama Index 101 with Vector DBs and GPT 3.5

Explore Llama-index with Pinecone vector database for semantic search and LLM retrieval augmentation. Learn about Documents, Nodes, vectorstore objects, and making queries in this practical tutorial.

• YouTube
• 19 minutes
• Self-Paced
• Free Video