Farouk ABDALLAH

Build responsive, scalable, and human-like AI voice applications.

Learn to build AI agents with long-term memory with LangGraph, using LangMem for memory management.

Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.

Build agentic AI workflows using LangChain's LangGraph and Tavily's agentic search.

Learn LLMOps best practices as you design and automate steps to fine-tune and deploy an LLM for a specific task.

Use the powerful and extensible LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.