Welcome to Your AI Launchpad: The STEAM in AI Resource Directory
Welcome to Your AI Launchpad: The STEAM in AI Resource Directory 11:42 pm 0 Education, latest Are you ready to crack open the future? The STEAM in AI Free AI Resource Directory is now live—and it’s not just a list,
Here Comes the 2025–2026 Global AI Championship: Ethical AI for Real-World Impact
Here Comes the 2025–2026 Global AI Championship: Ethical AI for Real-World Impact Buckle up, AI mentors and dream-builders—our global playground beckons. The 2025-26 Championship is live, and this time we’re leveling up: ethical, impactful, inclusive AI that’s not just smart, but
Key Highlights of The Executive Order 14277 on AI for K-12
On April 23, 2025, The White House issued an Executive Order 14277 for Advancing Artificial Intelligence Education for American Youth Key Highlights and Alignment with STEAM in AI
From Zero to Your First AI Agent in 25 Minutes (No Coding)
Learn how to build agentic AI systems that reason, plan, and act autonomously using LLMs, memory, and tools. Explore single and multi-agent setups, guardrails, and N8N integrations to create intelligent, personalized, real-world solutions.
Full Course (Lessons 1-10) AI Agents for Beginners
This video explains agentic AI, showing how agents use LLMs, memory, and tools for complex tasks and decision-making. It introduces Agentic RAG, key design patterns, real-world use cases, and frameworks like Azure AI Agent Service and Autogen.
How to Build & Sell AI Agents: Ultimate Beginner’s Guide
Liam Ottley shares a beginner-friendly guide to building and monetizing AI agents, explaining core components like LLMs, prompts, tools, and memory. He demonstrates creating conversational and automated agents using no-code platforms, with real-world applications in support, lead generation, and research.
Agentic AI Tutorial for Beginners | Langgraph Tutorial
Learn how to use LangGraph to build reliable, autonomous AI agents with graph-based orchestration, memory, and human-in-the-loop controls. Through hands-on projects, you’ll master concepts like checkpoint memory, performance monitoring, and safe decision-making for complex workflows.
Building AI Agents In 44 Minutes
Tina Huang offers a beginner-friendly guide to building AI agents using both no-code and code-based tools, explaining key components like models, tools, memory, and guardrails. Through real-world examples and workflows, you’ll learn prompt engineering and how to design practical agents
LangGraph
LangGraph is a framework for building autonomous AI agents using graph-based orchestration, enabling complex, multi-step workflows with memory and logic. It supports advanced reasoning, human-in-the-loop controls, and performance monitoring, making it ideal for scalable and adaptable AI applications.