AI Learning Center
Curated AI courses, tutorials, and guides from the world's best educators.
Introduction to Large Language Models
DeepLearning.AI
Learn the core concepts behind LLMs, their history, and how they work. This course covers the basics of transformer architectures and their impact.
Prompt Engineering for Developers
DeepLearning.AI
Master practical prompt engineering techniques using OpenAI's API. Learn to build applications efficiently with LLMs for various tasks.
LLM Mastery: From Fundamentals to Applications Specialization
Coursera
A comprehensive specialization covering LLM architectures, fine-tuning, and deployment strategies. Includes hands-on projects for real-world application.
Hugging Face Course: NLP with Transformers
Hugging Face
Learn to use the Hugging Face ecosystem for NLP tasks, fine-tuning transformers, and building powerful language models. Covers practical implementations.
Building RAG Systems with LLMs Tutorial
YouTube (various channels)
Learn to integrate LLMs with external knowledge bases using Retrieval Augmented Generation (RAG). Enhance factual accuracy and reduce hallucinations.
Practical LLM Development with LangChain
Pluralsight
Build powerful LLM applications using the LangChain framework. Explore agents, chains, and memory for complex interactions.
Advanced Prompt Engineering Patterns Workshop
O'Reilly
Explore sophisticated prompt design patterns like Chain-of-Thought, ReAct, and self-consistency. Optimize LLM performance for complex reasoning tasks.
LLM Architecture Design and Implementation
Udemy
Dive deep into the architectural components of LLMs, including attention mechanisms, scaling laws, and efficient inference techniques. Build custom LLMs.
Effective Prompting for Business Use Cases
LinkedIn Learning
Learn to craft prompts for specific business needs like content generation, customer service, and data analysis. Focuses on practical enterprise applications.
Ethical LLM Development and Responsible AI Workshop
FutureLearn
Address bias, fairness, and transparency in LLM applications. Learn methodologies for responsible AI development and deployment.
LLMOps: Deploying Large Language Models in Production
AWS Training
Covers the entire lifecycle of LLM deployment, monitoring, and maintenance in a production environment. Focuses on MLOps principles for LLMs.
Transformers from Scratch: A Deep Dive into Modern NLP Models
Self-published / Leanpub
Understand the foundational Transformer architecture, self-attention, and various variants. Implement key components from first principles.
Recommended Learning Paths
AI Beginner Path
- 1AI for Everyone
- 2Fast.ai Practical DL
- 3Prompt Engineering
LLM Engineer Path
- 1Deep Learning Spec
- 2Hugging Face NLP
- 3Building LLM Apps with LangChain
AI Agent Path
- 1LLM Engineering basics
- 2LangChain/LangGraph
- 3Multi-Agent Systems with CrewAI