AI Agent Tutorials
Learn how to build, deploy, and optimize AI agents with our comprehensive step-by-step guides. From beginners to advanced practitioners.
AI Agent for HR & Recruitment: Resume Screening, Candidate Matching & Scheduling
Build an AI recruitment agent that screens resumes, matches candidates to roles, automates interview scheduling, and ensures compliance — with practical implementation examples.
How to Build Your First AI Agent
A step-by-step beginner's guide to creating your first AI agent using no-code tools. Learn the fundamentals and build a working agent in under an hour.
AI Agent for Customer Service: Ticket Triage, Knowledge Base & Escalation
Build an AI customer service agent that triages tickets, searches your knowledge base, resolves common issues, and escalates complex cases intelligently.
AI Agent for Sales Automation: Lead Qualification, Outreach & CRM Integration
Build an AI agent that automates sales workflows — from lead qualification and personalized outreach to CRM updates and pipeline management. Includes ROI framework.
Multi-Agent Systems Guide: Orchestration, Communication & Scaling Patterns
Master multi-agent system design with proven orchestration patterns, communication protocols, conflict resolution strategies, and production scaling techniques.
Build Conversational AI Agents with AutoGen: Human-in-the-Loop & Group Chat
Learn to build conversational multi-agent systems with Microsoft AutoGen. Covers agent types, human-in-the-loop workflows, group chat, and code execution patterns.
Build Multi-Agent Systems with CrewAI: Roles, Tasks & Workflows
Learn how to build multi-agent AI systems with CrewAI. Define agent roles, delegate tasks, and orchestrate collaborative workflows with practical Python examples.
Build an AI Agent with LangChain: Complete Python Tutorial
Step-by-step guide to building a functional AI agent with LangChain in Python. Covers tools, ReAct agents, memory, chains, and deployment best practices.
Introduction to RAG for AI Agents: Build Knowledge-Grounded Agents
Learn how Retrieval-Augmented Generation (RAG) gives AI agents access to your private data. Covers vector databases, embeddings, chunking strategies, and implementation patterns.
Prompt Engineering for AI Agents: System Prompts, Guardrails & Best Practices
Master the art of writing effective prompts for AI agents. Learn system prompt design, chain-of-thought techniques, guardrails, and testing strategies with real examples.
Understanding AI Agent Architecture: Components, Types & How They Work
Learn the core architecture behind AI agents — from LLM brains and memory systems to tools and planning modules. Understand what makes agents different from chatbots.