Learn to Build LLM-Powered Applications and AI Agents Using LangChain, n8n, OpenAI, DeepSeek, Claude & More
Description
Learn how to build AI agents and LLM-powered applications that automate tasks and connect tools with ease.
In this course, you’ll begin with the basics of workflow automation and move step by step into building your own AI-powered agents. You’ll learn how to connect APIs, integrate powerful tools like OpenAI, Google Gemini, Claude, and build LLM applications using LangChain and other frameworks.
This course is designed for both beginners and those with some experience. Whether you’re looking to automate daily tasks, explore the potential of generative AI, or build scalable LLM apps, you’ll gain the skills to create powerful AI agents—without needing advanced coding knowledge.
What You’ll Learn in This Course:
Section 1: Introduction
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What are AI Agents?
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What is n8n?
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What is n8n and What are the Benefits of Using It?
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Workflows, Automation, AI Agents – What’s the Difference?
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n8n Pricing Explained: Which Plan Is Right for You?
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How to Sign in to n8n: Step-by-Step Guide
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Exploring the n8n User Interface
Section 2: Set up Google Credentials in n8n
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How to Set up Google Credentials in n8n
Section 3: Lead Workflow: Auto-Save to Google Sheets, Filter, and Send Emails by Budget
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Create a trigger in n8n
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Create an action in n8n
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Writing Custom Functions in n8n
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Using Filters in n8n
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Using the Switch Function in n8n
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Using the Merge Node in n8n
Section 4: Creating an AI Agent to Manage Calendar and Task Automation in n8n
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Using an AI Agent to Create Events in Google Calendar
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Using an AI Agent to Get Event Details from Google Calendar
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Using an AI Agent to Create Tasks in Google Sheets
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Using an AI Agent to Get and Update Task Details in Google Sheets
Section 5: Webhooks and HTTP requests in n8n
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Webhooks in n8n
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HTTP requests in n8n
Section 6: Building a RAG (Retrieval-Augmented Generation) AI Agent
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Building a RAG AI Agent
Section 7: Build n8n WhatsApp Chatbot
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Chat with Your AI Agent on WhatsApp
Section 8: How to Set Up Mistral OCR API in n8n for Document Text Extraction
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Using Mistral OCR to Understand Documents in n8n
Section 9: Extract Instagram Profile Data with Apify and Store in Google Sheets
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Instagram Profile Scraper using Apify and Google Sheets in n8n
Section 10: AI Youtube Analytics Agent: Comments Analyzer & Insights Reporter
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AI Youtube Analytics Agent: Comments Analyzer & Insights Reporter
Section 11: AI Client Onboarding Agent: Auto Welcome Email Generator
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Client Onboarding Automation
Section 12: Build a PDF Text Extractor App with Streamlit, n8n & Mistral OCR API
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Build a PDF Text Extractor App with Streamlit, n8n & Mistral OCR API
Section 13: AI Chatbots & RAG Apps in Streamlit using DeepSeek R1
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Create a Streamlit AI Chatbot with DeepSeek R1 LLM (via Ollama)
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Build a RAG-Powered Streamlit App with DeepSeek R1 via Ollama
Section 14: Building MCP Servers with LangChain in Python
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Build MCP Servers from Scratch with LangChain in Python
Section 15: Extract Text from PDF Documents and Images using Mistral OCR
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Text Extraction from PDFs and Images with Mistral OCR
Section 16: Mounting Multiple MCP Servers in a FastAPI Application
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How to run Multiple MCP Servers in a Fast API Application
Section 17: Introduction to Gemini CLI & MCP Setup
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Gemini CLI: Google’s Free Open-Source AI Agent
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How to Install & Use Gemini CLI + ANY MCP Server – Step by Step Tutorial
Section 18: Gemini Code Assist – Newly Revamped Official Coding Agent Extension from Google
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Gemini Code Assist – AI Coding Agents: A Step-by-Step Tutorial
Section 19: Kimi K2 Coder: The Best Free Open-Source AI Coding Assistant?
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Kimi K2 Coder: NEW Best Free AI Coding Assistant? (Open-Source Review)
Total Students | 88 |
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Duration | 8.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 36 |
Number of quizzes | 0 |
Total Reviews | 11 |
Global Rating | 5 |
Instructor Name | Muhammad Moin |
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