AI Automation Workflow, AI Voice Agent, Vector Database, MCP

About this course

Welcome to AI Automation Workflow, AI Voice Agent, Vector Database, MCP course. This is a comprehensive project based course where you will learn how to automate many repetitive tasks using AI, build a variety of AI agents, connect your AI model with vector database, and integrate model context protocol server. This course is a perfect combination between AI automation and AI agents, making it an ideal opportunity to practice your artificial intelligence skills while improving your technical knowledge in large language models and prompt engineering. In the introduction session, you will learn the basic fundamentals of AI automation and AI agents, such as getting to know their use cases and their workflow. Then, in the next section, you will learn about vector databases and how it enables AI models to store knowledge long term, retrieve the most relevant information through similarity search, and generate context aware responses that are far more accurate than prompt only outputs. Afterward, in the next section, we will start building AI automation workflows using tools like Zapier, Make, and n8n. Firstly, we are going to build an AI email responder. It is an automation that reads incoming emails, understands the intent and tone, and generates professional replies instantly while still allowing you to approve before sending. Following that, in the second project, we will create an AI customer feedback analyzer, which automatically collects customer feedback from multiple platforms and performs sentiment and keyword analysis to summarize insights. In the third project, we will build AI expense categorization, a system that scans receipts or transaction records and automatically assigns them to the proper accounting categories. In the fourth project, we will develop a Smart Inventory System, an automation that monitors product stock levels, predicts when items are running low, and notifies you or triggers purchase orders automatically. Then, in the fifth project, we are going to set up AI appointment booking auto

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