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Free Download AI Agents Bootcamp Agentic Automation With Python & N8N
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.65 GB | Duration: 2h 27m
Build AI Agents with LangChain, CrewAI & RAG and automate real-world workflows using Python, OpenAI, Gemini and n8n
What you'll learn
Understand AI Agents and Agentic AI, including agent architecture, memory, planning, decision-making, tool calling, and multi-agent systems.
Build real-world AI Agents with Python, OpenAI, Gemini, and Ollama, including chat, research, productivity, and task automation agents.
Create RAG and knowledge agents using embeddings, vector databases, documents, PDFs, memory, source grounding, and retrieval.
Build advanced AI agents with LangChain, LangGraph, CrewAI, and the OpenAI Agents SDK using tools, guardrails, handoffs, and workflows.
Automate real-world business workflows with n8n by connecting AI agents with Gmail, Google Sheets, APIs, memory, and human approval.
Design, test, secure, deploy, and monitor production-ready AI agents with evaluation, tracing, guardrails, FastAPI, Docker, and cost control.
Requirements
Basic programming knowledge is helpful but not required. A computer with internet access is needed. We start with AI Agent fundamentals and gradually move from beginner concepts to hands-on Python and automation projects.
Description
Build Real-World AI Agents and Automations with Python, OpenAI, Gemini, LangChain, LangGraph, CrewAI, Ollama, RAG, MCP, and n8n.Artificial Intelligence is moving beyond simple chatbots. The next generation of AI applications can reason, make decisions, use tools, access knowledge, remember conversations, collaborate with other agents, and automate real-world business tasks.In this comprehensive AI Agents & Agentic AI Bootcamp, you will learn how to build practical AI agents from the ground up and turn them into powerful automation systems.You will start with the fundamentals of AI Agents and Agentic AI, then progressively move into Python development, prompt engineering, tool calling, memory, RAG, multi-agent systems, AI frameworks, automation, evaluation, security, deployment, and production-ready AI agents.What You'll BuildThroughout the course, you will build multiple hands-on AI projects, including:AI Chat AgentAI Agent with MemoryPersonal Productivity AgentResearch & Web Search AgentPDF / Document Knowledge AgentTool-Calling AI AgentCrewAI Multi-Agent SystemOpenAI Agent with Tools and HandoffsAI Business Automation with n8nAI Customer Support AgentAI Study AssistantAI Travel PlannerAI Resume GeneratorAI Social Media Content CreatorAutonomous AI Business AssistantYour final capstone project will combine multiple AI capabilities into a practical autonomous AI business assistant that can understand requests, remember conversations, search the web, work with documents, use external APIs, interact with Google Sheets, generate emails and reports, and automate multi-step business workflows.What You Will LearnBy the end of this course, you will be able to:Understand AI, Generative AI, AI Agents, and Agentic AIBuild AI agents using PythonWork with OpenAI and Gemini APIsRun local AI models using OllamaWrite effective prompts for AI agentsImplement tool calling and structured outputsConnect AI agents to external APIs and servicesBuild agents with memory and decision-makingUnderstand and implement RAG (Retrieval-Augmented Generation)Work with embeddings and vector databasesBuild AI agents using LangChain and LangGraphCreate multi-agent systems with CrewAIBuild agents using the OpenAI Agents SDKUnderstand MCP (Model Context Protocol)Build AI automation workflows using n8nImplement human-in-the-loop approval workflowsEvaluate and test AI agentsAdd guardrails and improve AI agent securityUnderstand prompt injection and unsafe tool usageMonitor and trace AI agent executionDeploy AI applications using FastAPI and DockerOptimize token usage, model selection, and AI costsBuild production-ready AI agent systemsWho Is This Course For?This course is designed for
evelopers who want to learn AI Agent developmentPython developers moving into Generative AISoftware engineers interested in Agentic AIAutomation developers who want to build intelligent workflowsEntrepreneurs and business owners exploring AI automationAI/ML professionals who want practical agent-building skillsStudents who want to build real-world AI projectsAnyone interested in AI Agents, LLMs, RAG, multi-agent systems, and AI automationYou don't need to be an AI expert to get started. We begin with the fundamentals and gradually move toward advanced AI agent architectures and production systems.Technologies CoveredThroughout the bootcamp, you'll work with modern AI and automation technologies includingython • OpenAI • Gemini • Ollama • LangChain • LangGraph • CrewAI • OpenAI Agents SDK • RAG • Vector Databases • MCP • n8n • FastAPI • DockerFrom AI Concepts to ProductionThis isn't just a course about prompting ChatGPT.You'll learn the complete journey of building AI agents:Understand → Design → Build → Add Tools → Add Memory → Add Knowledge → Connect APIs → Automate → Evaluate → Secure → DeployBy the end, you'll have the practical knowledge and projects needed to start building AI agents and agentic AI automation systems for real-world applications.Enroll now and start building the next generation of AI-powered applications and autonomous AI agents.This course is for aspiring AI developers, Python developers, software engineers, automation specialists, data professionals, and technology enthusiasts who want to build practical AI Agents and Agentic AI systems. It is also ideal for beginners who understand basic programming concepts and want a structured path from AI Agent foundations to real-world projects using Python, LangChain, CrewAI, RAG, OpenAI, Gemini, Ollama, and n8n. Entrepreneurs, freelancers, and professionals who want to automate business workflows and explore AI-powered automation will also benefit from this course.
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