AI Automation Workflow, AI Voice Agent, Vector Database, MCP
Published 12/2025
Duration: 3h 6m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 1.46 GB
Genre: eLearning | Language: English
Build AI automation and AI agent using Zapier, Make, n8n, Python, Llama, Pinecone vector database, Eleven Labs, Mistral
What you'll learn
- Learn the basic fundamentals of AI automation and AI voice agent
- Learn how to build AI email responder automation using Zapier
- Learn how to build AI customer feedback analyser automation using Zapier
- Learn how to build AI expense categorization automation using Make
- Learn how to build AI inventory tracking automation using Make
- Learn how to build AI appointment booking automation using n8n
- Learn how to build AI content marketing automation using n8n
- Learn how to build AI product research agent using Relay App
- Learn how to build AI supply chain contract analysis agent using Gumloop
- Learn how to build AI receptionist voice agent using Eleven Labs
- Learn how to build AI customer support voice agent using Vapi
- Learn how to build AI sales voice agent using Voiceflow
- Learn how to build AI lead generation agent using Zapier
- Learn how to build AI data analysis agent using Python and Llama
- Learn how to build AI multi agent system for project management
- Learn how to build food inventory vector database using Pinecone
- Learn how to connect Zapier MCP server with Google Sheet and Mistral AI
Requirements
- No previous experience in AI automation is required
- Basic knowledge in Python and LLM
Description
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 automation, where AI will schedule appointments based on your availability and send meeting reminders. In the sixth project, we will build AI content marketing automation, a workflow that takes your business updates or product information and generates article drafts, social media captions, and scheduled posts. Then, in the next section, we will build AI agents using tools like Relay App, Gumloop, Vapi, Voiceflow, Eleven Labs, and Zapier. We are going to build a variety of AI agents, for example, lead generation agent, product research agent, supply chain contract analyzer agent, and voice agents for receptionist, customer support, and sales. In addition, we are also going to do a little bit of programming using Python. We are going to build an AI data analysis agent using Llama and we are also going to build an AI multi agent system for project management using Gemma. Then, after that, we are going to build an AI Food Recipe Generator that is fully connected to a Pinecone vector database, enabling the AI model to automatically analyze the ingredients you currently have and generate personalized recipe ideas based solely on the items available in your food inventory. Lastly, at the end of the course, we will learn about MCP server integration, specifically, we will create Zapier MCP server and connect it to Google Sheet and Mistral AI, so the AI model will be able to interact with external tools.
Firstly, before getting into the course, we need to ask this question to ourselves, why should we learn about AI automation? Well, here is my answer, we have so many repetitive tasks like checking emails, replying to customers, updating spreadsheets, booking meetings, and organizing documents. By automating those tasks, we will be able to significantly increase our productivity and reallocate our time for things that are more important.
Below are things that you can expect to learn from this course:
Learn the basic fundamentals of AI automation and AI voice agent
Learn how to build AI email responder automation using Zapier
Learn how to build AI customer feedback analyser automation using Zapier
Learn how to build AI expense categorization automation using Make
Learn how to build AI inventory tracking automation using Make
Learn how to build AI appointment booking automation using n8n
Learn how to build AI content marketing automation using n8n
Learn how to build AI product research agent using Relay App
Learn how to build AI supply chain contract analysis agent using Gumloop
Learn how to build AI receptionist voice agent using Eleven Labs
Learn how to build AI customer support voice agent using Vapi
Learn how to build AI sales voice agent using Voiceflow
Learn how to build AI lead generation agent using Zapier
Learn how to build AI data analysis agent using Python and Llama
Learn how to build AI multi agent system for project management
Learn how to build food inventory vector database using Pinecone
Learn how to connect Zapier MCP server with Google Sheet and Mistral AI
Disclosure: AI tools were used only to assist in creating the course outline and thumbnail. All instructional content, code, explanations, and project walkthroughs were fully created manually by the instructor
Who this course is for:
- Software engineers who are interested in building AI agents using Python, LLM, and vector database
- Tech consultants who are interested in creating AI automations using Zapier, Make, and n8n
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