Enterprise AI Learning Platform Walkthrough | NotebookLM, Langflow, Agentic AI, CrewAI, MCP & LLMs

Description

This video provides a complete walkthrough of an Enterprise AI Learning and Development Platform, showcasing how organizations and individuals can build, learn, and deploy modern AI systems—from low-code workflows to production-ready AI agents and LLMs. You’ll explore multiple learning tracks, including: 🔹 Google NotebookLM – Transform raw learning content into videos, audio summaries, quizzes, mind maps, flashcards, and slides 🔹 Langflow – Build no-code and low-code AI workflows for automation, chatbots, RAG systems, and agents 🔹 Agentic AI & CrewAI – Design and orchestrate multi-agent AI systems with real-world collaboration patterns 🔹 Model Context Protocol (MCP) – Enable secure, standardized integration between LLMs, tools, and data sources 🔹 LLM Engineering – Train, fine-tune, and scale large language models using tools like DeepSpeed The platform combines PDFs, videos, quizzes, voice-based Q&A, interactive notebooks, and hands-on demos to help teams move from experimentation to enterprise-grade, production-ready AI systems. Whether you’re a developer, data scientist, AI leader, or enterprise team, this demo shows how structured learning and practical experimentation can accelerate AI adoption at scale.