Building AI Agents Full Masterclass in Hindi/Urdu

Check out my website: https://aiwithhassan.com Get started with Agentspan by Orkes: https://agentspan.ai/ Orkes: https://orkes.io/ 🌐 Website:https://aiwithhassan.com 📁 GitHub: https://github.com/AIwithhassan/agentic-ai-crash-course 🤵 LinkedIn: https://www.linkedin.com/in/m-hassan-mahmood/ 🎁 Google Form for Giveaway: https://forms.gle/KwJSRCFfdS6m2cDfA 🚀 Complete Agentic AI Crash Course 2026 | Build AI Agents with LangChain, LangGraph, AgentSpan, RAG, MCP & Multi-Agent Systems This is a complete Agentic AI crash course where you'll learn everything you need to become an AI Engineer in 2026. Starting from the fundamentals of Large Language Models (LLMs) and Generative AI, we'll gradually move into Agentic AI, AI Agents, RAG, MCP, Multi-Agent Systems, Memory, Vector Databases, AI Architectures, and production-ready AI applications. Unlike theory-only courses, this tutorial includes hands-on implementations using LangChain, LangGraph, AgentSpan, CrewAI, LlamaIndex, OpenAI Agents SDK, MCP, ChromaDB, Qdrant, Pinecone, Hugging Face, Streamlit, FastAPI, and modern AI engineering best practices. Whether you're preparing for AI Engineering interviews, building portfolio projects, starting an AI automation agency, or becoming a professional AI developer, this course gives you the complete roadmap. ━━━━━━━━━━━━━━━━━━━━━━ 🚀 WHAT YOU'LL LEARN ✅ What is Generative AI ✅ How Large Language Models (LLMs) work ✅ Transformer Architecture explained ✅ Tokens, Context Windows & Embeddings ✅ Prompt Engineering ✅ Function Calling & Tool Use ✅ What are AI Agents ✅ Agentic AI Fundamentals ✅ AI Agent Lifecycle ✅ The ReAct Framework ✅ Chain of Thought Reasoning ✅ Planning Agents ✅ Reflection & Self-Improving Agents ✅ AI Memory Systems ✅ RAG (Retrieval-Augmented Generation) ✅ Vector Databases ✅ Embeddings Explained ✅ Semantic Search ✅ Model Context Protocol (MCP) ✅ Multi-Agent Systems ✅ AI Agent Architectures ✅ LangChain Crash Course ✅ LangGraph Crash Course ✅ AgentSpan Framework Tutorial ✅ CrewAI Tutorial ✅ LlamaIndex Tutorial ✅ OpenAI Agents SDK ✅ Guardrails ✅ AI Agent Evaluation ✅ AI Workflows ✅ AI Automation ✅ AI Engineering Best Practices ✅ Build Production-Ready AI Applications ━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHO IS THIS COURSE FOR? → AI Engineers → Software Engineers → Machine Learning Engineers → Python Developers → AI Researchers → Students → Beginners learning AI → AI Automation Builders → Startup Founders → Freelancers → AI Consultants → Anyone who wants to build AI Agents ━━━━━━━━━━━━━━━━━━━━━━ 💡 TECHNOLOGIES COVERED • LangChain • LangGraph • AgentSpan • CrewAI • LlamaIndex • OpenAI Agents SDK • OpenAI • Anthropic Claude • Google Gemini • Qwen • Hugging Face • ChromaDB • Pinecone • Weaviate • Qdrant • FAISS • FastAPI • Streamlit • Python • MCP (Model Context Protocol) • RAG • Multi-Agent Systems • AI Agents ━━━━━━━━━━━━━━━━━━━━━━ 📌 HIGH SEARCH VOLUME TOPICS COVERED • Agentic AI • AI Agents • AI Agent Tutorial • Complete Agentic AI Course • AI Agents for Beginners • LangChain Tutorial • LangGraph Tutorial • AgentSpan Tutorial • CrewAI Tutorial • LlamaIndex Tutorial • OpenAI Agents SDK • RAG Tutorial • MCP Tutorial • Model Context Protocol • Vector Database Tutorial • ChromaDB • Pinecone • Qdrant • AI Memory • AI Agent Frameworks • Multi-Agent Systems • AI Automation • AI Engineering • AI Projects • AI Portfolio Projects • Build AI Agents • Generative AI • LLM Tutorial • AI Engineering Roadmap ━━━━━━━━━━━━━━━━━━━━━━ ⏱️ TIMESTAMPS Introduction - 0:00 API Call - 00:58 Basic Setup - 3:30 Basic API call - 4:09 Create First AI Agent - 10:00 Agentic Memory - 16:11 Tools - 18:38 Pydantic Output - 31:28 Guardrails - 36:01 Human In The Loop - 43:58 Multi Agent Systems - 53:50 ━━━━━━━━━━━━━━━━━━━━━━ ⚠️ AI World Disclaimer ⚠️ For "AI with Hassan" Tutorial Videos The AI landscape evolves at lightning speed! 🔥 While I strive to keep content accurate: Model versions/pricing may change post-recording APIs/tools shown might be deprecated/updated Platform interfaces can be redesigned 🗓️ Always check video description for recording date 💡 If something breaks: Check official documentation If you're serious about becoming an AI Engineer, building AI Agents, creating AI SaaS products, AI automations, or landing AI jobs, this crash course provides one of the most complete roadmaps available. You'll learn the concepts, frameworks, and practical skills needed to build production-ready AI applications in 2026. #AgenticAI #AIAgents #LangChain #LangGraph #AgentSpan #CrewAI #LlamaIndex #RAG #MCP #OpenAI #GenerativeAI #LLM #MultiAgent #AIAutomation #AIEngineer #Python #ArtificialIntelligence #AIProjects #AIwithHassan