AI Agents & Frameworks Explained | LangChain, CrewAI, AutoGen, LangGraph & More
Learn how to build real-world AI agents using frameworks like LangChain, LangGraph, CrewAI, and AutoGen. This playlist covers agent architectures, workflows, tool calling, memory, and real-world use cases — from beginner to advanced. Perfect for AI engineers, developers, and system design learners. #AIAgents #GenerativeAI #LangChain #AIEngineering
Curated by: Naveen Tech Hub (38 videos)
Tracks in this Playlist
- Amazon Bedrock Guardrails PII Masking Explained 🔒 | Protect GenAI Prompts #naveentechhub
- The Engineering Evolution: Mastering Structured LLM Outputs (From JSON Mode to Strict Schemas)
- LangChain PromptTemplate vs ChatPromptTemplate | Python Tutorial
- Agentic AI Frameworks Explained | LangChain, LangGraph, CrewAI, Agno, Google ADK & OpenAI Agents SDK
- Langfuse vs LangSmith Explained | LLM Observability for RAG & AI Agents
- Langfuse Complete Tutorial 2026 | LLM Observability, RAG, Tracing & Evaluation
- DeepSeek Harness Tutorial | AI Agent Architecture for Beginners | Build a Practical AI Coding Agent
- Master AI Testing & AI Quality Engineering: Complete 2026 Roadmap
- Prompt vs Context vs Harness vs Loop Engineering | Build Production-Ready AI Agents
- Hermes Agent Explained | Self-Improving AI Agents, Memory, Skills & Tools
- DevSecOps Explained: Secure CI/CD, Kubernetes, MLOps, LLM Security & AIOps
- LangChain Agent Middleware Tutorial with Python | Logging & Retries
- MCP vs APIs Explained | How AI Agents Use Tools | Beginner to Practical
- Build an AI Agent with LangChain in 5 Minutes | Latest create_agent API
- Amazon Bedrock Guardrails Explained | Safer GenAI on AWS
- How Professionals Actually Use AI at Work | 3 Real AI Workflows
- AI vs Hackers: How AI Is Changing Cybersecurity
- GPT-5.6 Explained: Sol, Terra & Luna Features That Change AI Workflows
- Amazon S3 Vectors Explained: Build Serverless RAG Without a Vector Database
- The FDE Reality Check: What a $500K AI Job Actually Requires
- Loop Engineering Explained: Build AI Systems That Watch, Think, Act & Repeat
- LLM Fine-Tuning Explained: SFT, LoRA, QLoRA, RLHF, DPO & GRPO for Beginners
- Unsloth LLM Fine-Tuning Explained: Train AI Models Faster on Consumer GPUs
- Prompt Engineering Masterclass 2026: Build AI Workflows Like a Pro
- AI Agents in Production (Complete Guide) | n8n, LLMOps, Monitoring & Scaling
- Vectorless RAG Explained in 2 Minutes | The Future Beyond Vector Databases
- Why AI Agents Fail in Production | Agentic Harness Engineering Explained
- 👉 Production Agent Engineering Explained | Build Scalable AI Agents (2026 Guide)
- AI Native Backend Architecture Explained 🚀 | RAG, Agents & LLM System Design
- The 2026 Automation Blueprint Zapier vs Make
- Build a Real n8n Workflow Step-by-Step | Production Automation + AI Integration 🚀
- CrewAI Explained End-to-End 🚀 | Build Multi-Agent AI Systems (Step-by-Step Tutorial + Code)
- Mastering Agentic Workflows: Prompt Chaining with LangGraph
- Collaborative AI Agents: Mastering the A2A Protocol & Top Frameworks
- When AI Agents Team Up: The Future of AI Teamwork with A2A & MCP
- Master Amazon Bedrock Knowledge Bases: End-to-End RAG Explained
- Deploy Enterprise AI Agents: The 7 Pillars of Amazon Bedrock AgentCore Explained
- [LG WebOS TVs] How To Use the Built-in Alexa On Your LG TV - WebOS 22