The 7 Skills You Need to Build AI Agents
As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system ...
11 Aug 19min
What is LangChain?
LangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Ke...
5 Aug 20min
LangChain vs LangGraph
Get ready for a showdown between LangChain and LangGraph, two powerful frameworks for building applications with large language models (LLMs.) Master Inventor Martin Keen compares the two, taking a lo...
30 Jul 16min
RAG vs Agentic AI
Agentic AI and RAG are redefining how LLMs think and act 🤖. Live from TechXchange in Orlando, Martin Keen & Cedric Clyburn unpack how vector databases, data integration, and context engineering enabl...
23 Jul 21min
RAG's Evolution
How did search evolve into agentic AI? Sam Anthony explains RAG's evolution, from simple retrieval to adaptive systems powered by LLMs. Learn how semantic search, hybrid retrieval, and AI agents enabl...
16 Jul 13min
AI Agent Skills
We're all using AI agents, but they still lack the procedural knowledge real work needs. Martin Keen explains how agent skills, LLMs, RAG, and MCP help agents follow workflows, automate tasks, and mak...
9 Jul 24min
MCP vs. RAG
How do AI agents learn and take action? Live from TechXchange in Orlando, Melissa Hadley breaks down how MCP and RAG help large language models connect to data — one to retrieve knowledge, the other t...
2 Jul 20min
RAG vs Fine-Tuning vs Prompt Engineering
How do AI chatbots deliver better responses? Martin Keen explains RAG 🛠️, fine-tuning , and prompt engineering methods that extend knowledge, refine responses, and build domain expertise. Learn how t...
25 Jun 20min
