Local LLMs Courses and Certifications

Local LLMs with llamafile

Learn to package, deploy, and interact with open-source AI models using llamafile, enabling local and portable LLM execution across platforms with hands-on examples.

• Coursera
• 3 hours 1 minute
• Self-Paced
• Paid Course

Databricks to Local LLMs

12 ratings at Coursera

Master Databricks for data engineering and analytics, plus run local LLMs like Mixtral using Hugging Face Candle and Mozilla llamafile for advanced AI workflows.

• Coursera
• 1 day 3 hours 24 minutes
• Self-Paced
• Paid Course

Beginning Llamafile for Local Large Language Models (LLMs)

Serve powerful language models as web APIs using llama.cpp. Learn to configure, customize, and interact with the server for text generation, tokenization, and embedding extraction tasks.

• Coursera
• 3 hours 56 minutes
• Self-Paced
• Paid Course

JetBrains

Mastering IntelliJ IDEA With DevoxxGenie - Harnessing Local and Cloud-Based LLMs

Explore DevoxxGenie plugin for IntelliJ IDEA, integrating local and cloud-based LLMs to enhance coding efficiency. Learn key features, settings, and practical applications through live demos and expert insights.

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

Ian Wootten

Using Ollama to Run Local LLMs on the Steam Deck - Performance Comparison with Raspberry Pi 5

Explore running Ollama's local LLMs on Steam Deck: installation process, model performance, and comparison with Raspberry Pi 5 speeds in this hands-on tutorial.

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

pixegami

Python RAG Tutorial - AI for PDFs with Local LLMs

Build a Python RAG app to query PDFs using AI. Learn advanced topics like local execution, vector DB updates, file handling, and response quality testing.

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

Local LLMs via Ollama & LM Studio - The Practical Guide

1446 ratings at Udemy

Run open large language models like Gemma, Llama or DeepSeek locally to perform AI inference on consumer hardware.

• Udemy
• 3 hours 55 minutes
• Self-Paced
• Paid Course

Packt

Harnessing Ollama – Create Local LLMs with Python

Master Ollama and Python to build local LLM applications with practical projects like RAG systems, sentiment analysis tools, and voice-enabled interfaces for real-world use cases.

• Coursera
• 6 hours 38 minutes
• Self-Paced
• Paid Course

Dave's Garage

Run Local LLMs on Hardware from $50 to $50,000 - Testing and Comparison

Explore local LLM performance across diverse hardware, from Raspberry Pi to high-end workstations. Compare Llama models on various systems and discover surprising results in AI accessibility.

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

Sam Witteveen

LangChain + Retrieval Local LLMs for Retrieval QA - No OpenAI

Explore LangChain for retrieval QA using local language models like Flan T5-XL, FastChat-T5, StableVicuna, and WizardLM, without relying on OpenAI services.

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

Discover AI

Parameter-Efficient Fine-Tuning with LoRA - Optimizing LLMs for Local GPU Training

Master PEFT LoRA techniques to efficiently fine-tune large language models on local GPUs through low-rank adaptation, reducing memory requirements while maintaining model performance.

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

JetBrains

Running Uncensored and Open Source LLMs on Your Local Machine

Explore running uncensored open-source LLMs locally with Ollama. Learn to access AI models programmatically and leverage Java features for local AI integration, ensuring privacy and unrestricted responses.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Data Centric

Running Local LLMs Faster Than Ollama Using Llamafile

Master running local LLMs with Llamafile, achieving 30-500% faster performance than Ollama on CPU. Learn to convert models into executable files and optimize your machine learning workflow.

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

Mervin Praison

Setting Up Local AI Infrastructure with LLMs and RAG - Complete Guide

Master the setup of a complete local AI infrastructure using n8n's starter kit, featuring LLMs, vector databases, and RAG agents - all with zero cloud costs and full data privacy.

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

AI Engineer

Harnessing the Power of LLMs Locally - Rust Library for Local Large Language Model Integration

Explore llm, a Rust library enabling local deployment of large language models on standard hardware, reducing cloud dependency and enabling high-speed inference for various applications.

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