awesome-llm-courses
by wikit-ai
A curated list of awesome online courses about Large Langage Models (LLMs)
AI summary
LLM courses
A curated list of online courses on Large Language Models (LLMs) and Natural Language Processing
- stars
- 116
- forks
- 4
- watching
- 4
- awesome list
- 1
- entries
- 162
What's in the list
162 links in 36 sections, with live GitHub stats.activeno commit in 2y
🤗 Hugging Face
Links
- CodeSignal
– Selected LLM/NLP course paths with Cosmo, the AI tutor 🐶✨
CodeSignal
- Understanding LLMs and Basic Prompting Techniques
— 5 lessons — 15 practices — Intermediate
- Introduction to Natural Language Processing
– 4 courses – 78 practices – Intermediate
- Text Classification with Natural Language Processing
– 4 courses – 110 practices – Advanced
Links
🗣️ Large Language Model Course – Maxime Labonne
Udacity
- Introduction to Large Language Models with Google Cloud
– 45 Minutes – Beginner
- Introduction to Gen AI Studio with Google Cloud
– 20 Hours — Beginner
- Introduction to Gemini for Google Workspace
– 1 Day – Beginner
- Introduction to Image Generation with Google Cloud
– 1 Day – Intermediate
- Generative AI Fundamentals with Google Cloud
– 4 Days – Beginner
- Gemini in Gmail
– 1 Day – Beginner
- Gemini in Google Docs
– 1 Day – Beginner
- Gemini in Google Meet
– 1 Day – Beginner
- Gemini in Google Sheets
– 1 Day – Beginner
- Gemini in Google Slides
– 1 Day – Beginner
- Gemini API by Google
– 3 Days – Intermediate
- LLMOps: Building Real-World Applications With Large Language Models
– 11 Hours – Intermediate
- Transformer Models and BERT Model with Google Cloud
– 1 Day – Beginner
Links
DeepLearning.AI – Short Courses
- Multimodal RAG: Chat with Videos – Intel
– 1 Hour – Intermediate
- AI Python for Beginners
– 4-5 Hours – Beginner
- Large Multimodal Model Prompting with Gemini – Google Cloud
– 2 Hours – Beginner
- Building AI Applications with Haystack
– 1 Hour – Intermediate
- Improving Accuracy of LLM Applications – Lamini and Meta
– 1x Hour – Intermediate
- Embedding Models: From Architecture to Implementation – Vectara
– 1 Hour – Beginner
- Federated Learning – Flower
– 2 Hours – Beginner to Intermediate
- Pretraining LLMs – Upstage
– 1 Hour – Beginner
- Prompt Compression and Query Optimization – MongoDB
– 1 Hour – Intermediate
- Carbon Aware Computing for GenAI Developers – Google Cloud
– 1 Hour – Beginner
- Function-Calling and Data Extraction with LLMs – Nexusflow
– 1 Hour – Intermediate
- Building Your Own Database Agent – Microsoft
– 1 Hour – Beginner
- AI Agents in LangGraph – LangChain, Tavily
– 1 Hour – Intermediate
- AI Agentic Design Patterns with AutoGen – Microsoft, Penn State University
– 1 Hour – Beginner
- Introduction to On-Device AI – Qualcomm
– 1 Hour – Beginner
- Multi AI Agent Systems with crewAI – crewAI
– 1 Hour – Beginner
- Building Multimodal Search and RAG – Weaviate
– 1 Hour – Intermediate
- Building Agentic RAG with LlamaIndex – LlamaIndex
– 1 Hour – Beginner
- Quantization in Depth – Hugging Face
– 1 Hour – Intermediate
- Prompt Engineering for Vision Models – Comet
– 1 Hour – Beginner
- Getting Started With Mistral – Mistral AI
– 1 Hour – Beginner
- Quantization Fundamentals with Hugging Face – Hugging Face
– 1 Hour – Beginner
- Preprocessing Unstructured Data for LLM Applications – Unstructured
– 1 Hour – Beginner
- Open Source Models with Hugging Face – Hugging Face
– 1 Hour – Beginner
- Prompt Engineering with Llama 2 & 3 – Meta
– 1 Hour – Beginner
- Red Teaming LLM Applications – Giskard
– 1 hour – Beginner
- JavaScript RAG Web Apps with LlamaIndex
– 1 hour – Beginner
- Efficiently Serving LLMs – Predibase
– 1 hour – Intermediate
- Knowledge Graphs for RAG – Neo4j
– 1 hour – Intermediate
- Serverless LLM apps with Amazon Bedrock – AWS
– 1 hour – Intermediate
- ChatGPT Prompt Engineering for Developers – OpenAI
– 1 hour – Beginner to Advanced
- Building Systems with the ChatGPT API – OpenAI
– 1 hour – Beginner to Advanced
- LangChain for LLM Application Development – LangChain
– 1 hour – Beginner
- LangChain: Chat with Your Data – LangChain
– 1 hour – Beginner
- Finetuning Large Language Models – Lamini
– 1 hour – Intermediate
- Large Language Models with Semantic Search – Cohere
– 1 hour – Beginner
- Building Generative AI Applications with Gradio – HuggingFace
– 1 hour – Beginner
- Evaluating and Debugging Generative AI Models Using Weights and Biases – W&B
– 1 hour – Intermediate
- How Diffusion Models Work
– 1 hour – Intermediate
- Building Applications with Vector Databases – Pinecone
– 1 hour – Beginner
- Automated Testing for LLMOps – circleci
– 1 hour – Intermediate
- LLMOps – Google Cloud
– 1 hour – Beginner
- Build LLM Apps with LangChain.js – LangChain
– 1 hour – Intermediate
- Advanced Retrieval for AI with Chroma – Chroma
– 1 hour – Intermediate
- Reinforcement Learning from Human Feedback – Google Cloud
– 1 hour – Intermediate
- Building and Evaluating Advanced RAG Applications – LlamaIndex
– 1 hour – Beginner
- Quality and Safety for LLM Applications – Whylabs
– 1 hour – Beginner
- Vector Databases: from Embeddings to Applications – Weaviate
– 1 hour – Intermediate
- Functions, Tools and Agents with LangChain – LangChain
– 1 hour – Intermediate
- Pair Programming with a Large Language Model – Google
– 1 hour – Beginner
- Understanding and Applying Text Embeddings – Google Cloud
– 1 hour – Beginner
🦜🔗 LangChain Academy
- Introduction to LangGraph
– 40 lessons – 4 hours of video content
Cohere
Links
Become an AI Developer – DataCamp
EdX
- Databricks: Large Language Models: Application through Production
– 6 weeks – 4-10 hours per week
- Databricks: Large Language Models: Foundation Models from the Ground Up
– 4 weeks – 4-8 hours per week
- IBM: Introduction to Prompt Engineering
– 3 weeks – 1-3 hours per week
- IBM: Models and Platforms for Generative AI
– 3 weeks – 1-3 hours per week
- IBM: Developing Generative AI Applications with Python
– 6 weeks – 1–2 hours per week
Coursera
- Introduction to Large Language Models – Google Cloud
– Approx. 1 hour – Beginner
- Encoder-Decoder Architecture – Google Cloud
– Approx. 1 hour – Advanced
- Build a Chat Application using the PaLM 2 API on Cloud Run – Google Cloud
– Project – 90 minutes – Intermediate
- Generative AI with Large Language Models – AWS
– Approx. 16 hours – Intermediate
Links
Scrimba Courses Library – Artificial Intelligence
- Build AI Apps with ChatGPT, DALL-E and GPT-4
– 4.6 Hours – Intermediate
- Deploy AI apps with Cloudflare
– 50 Minutes – Intermediate
- Intro to AI Engineering
– 90 Minutes – Intermediate
- Intro to AI Engineering
– 90 Minutes – Intermediate
- Intro to Mistral AI
– 84 Minutes – Intermediate
- Learn LangChain.js
– 94 Minutes – Intermediate
- Learn OpenAI's Assistants API
– 30 Minutes – Intermediate
- Learn to code with AI
– 4.5 Hours – Beginner
- Prompt Engineering for Web Developers
– 3.1 Hours – Intermediate
Links
W&B AI Academy
- RAG++ : From POC to Production
– 75 lessons – 2 hours of video content
- Developer's guide to LLM prompting
– 25 lessons – 1 hour of video content
- LLM Engineering: Structured Outputs
– 34 lessons — 1 hour of video content
- Building LLM-Powered Apps
– 31 lessons – 2 hours of video content
- Training and Fine-tuning Large Language Models (LLMs)
– 37 lessons – 4 hours of video content
- Enterprise Model Management
– Cover end-to-end model lifecycle. Include LLM Case Study – 25 lessons – 2.5 hours of video content
Google Cloud Skills Boost
Google Cloud Skills Boost / Introduction to Generative AI Learning Path
- 01 Introduction to Generative AI
– Introductory
- 02 Introduction to Large Language Models
– 8 hours – Introductory
- 03 Introduction to Responsible AI
– 8 hours – Introductory
- 04 Generative AI Fundamentals
– 8 hours – Introductory
- 05 Responsible AI: Applying AI Principles with Google Cloud
– 8 hours – Introductory
Google Cloud Skills Boost
Google Cloud Skills Boost / Generative AI for Developers Learning Path
- 01 Introduction to Image Generation
– 8 hours – Introductory
- 02 Attention Mechanism
– 8 hours – Intermediate
- 03 Encoder-Decoder Architecture
– 8 hours – Intermediate
- 04 Transformer Models and BERT Model
– 8 hours – Introductory
- 05 Create Image Captioning Models
– 8 hours – Intermediate
- 06 Introduction to Generative AI Studio
– 8 hours – Introductory
- 07 Generative AI Explorer - Vertex AI
– 4 hours 15 minutes – Introductory
- 08 Explore and Evaluate Models using Model Garden
– 1 hour – Intermediate
- 09 Prompt Design using PaLM
– 1 hour 30 minutes – Introductory
Links
Activeloop
- LangChain & Vector Databases in Production
– 40 hours of learning content
- Retrieval Augmented Generation for Production with LangChain & LlamaIndex
– 1 hour of high-level video content – 25 hours of learning content
- Training & Fine-Tuning LLMs for Production
– 1.5 hrs of high-level video content – 40 hours of learning content
Links
Freecodecamp
- Learn LangChain.js - Build LLM apps with JavaScript and OpenAI
– Approx. 1 hour 30 minutes
DAIR.AI
The Chinese University of HongKong, Shenzhen
- CSC 6201/CIE 6021 Large Language Models
– Slides from 10 lectures
Links
NVIDIA – Self-Paced Courses
- Generative AI Explained
– 2 Hours – Technical - Beginner
- Augmenting LLMs using Retrieval Augmented Generation
– 1 Hour – Technical - Beginner
- Building RAG Agents for LLMs
– 8 Hours – Technical - Intermediate
Links
Weaviate Academy
- PY_101T: Text data with Weaviate
– Python – Project-based
- PY_101V: Your own vectors with Weaviate
– Python – Project-based
- PY_101M: Multimodal data with Weaviate
– Python – Project-based
- PY_220: Flexible data representation: Named vectors
– Python – Project-based
- PY_230: Vector indexes
– Python
- PY_275: Text tokenization
– Python
- PY_280: Multi-tenancy
– Python
- TS_100: Intro to Weaviate with TypeScript (or JavaScript)
– TypeScript – Project-based
Links
- Web Security Academy
by Portswigger (the creators of Burp Suit)
Web Security Academy
- Web LLM attacks
– Short course + 4 labs
Links
Neo4j Generative AI Courses
- Neo4j & LLM Fundamentals
– 4 Hours
- Build a Neo4j-backed Chatbot using Python
– 2 Hours - Feat. Langchain and Streamlit
- Build a Neo4j-backed Chatbot with TypeScript
– 6 Hours - Feat. Langchain and Next.js
- Building Knowledge Graphs with LLMs
– 2 Hours
Nothing in this list matches your filter.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions awesome-llm-courses.
More related projects
eleutherai/lm-evaluation-harness7.2K
serge-chat/serge5.7K
eublefar/llamasharpunitydemo64
intelligent-machine-learning/dlrover1.3K
stability-ai/stablelm15.8K
gsuuon/model.nvim340
stanfordnlp/dspy20.2K
microsoft/megatron-deepspeed1.9K
nvidia/megatron-lm10.8K
komputeproject/kompute2K
mlabonne/llm-autoeval566
aiverify-foundation/llm-evals-catalogue13