Ai Agents & Ai Automation — The Practical Agentic Ai Guide

Become an AI Engineer by building real-world agentic AI systems

What you'll learn

100% up-to-date with the latest content

Hands-on demos with real-world scenarios

Practical & Hands-on

Develop & Deploy Automations with AI Agents

Build Your Own Automations

Develop AI Agents for Your Own Businesses

Develop AI Agents for Other Businesses

Requirements

No previous experience with coding or any ai tool—this course is beginner-friendly!

Description

This course will empower you to MASTER AI Agents & AI Automation and transform your workflows!No prior experience with AI or automation is required—this course is designed for beginners and beyond!Ready to take your career to the next level with cutting-edge AI skills? This course is your ultimate guide to building AI agents, automating workflows, and integrating scalable AI solutions. Whether you’re new to AI or looking to enhance your automation expertise, this course provides everything you need—practical projects, hands-on labs, and up-to-date content covering the latest in AI and automation technologies.Why is this the ONLY course you need to excel in AI Agents & AI Automation?Comprehensive Coverage: Every essential topic—from AI fundamentals to advanced automation with N8N—is covered in depth with the latest tools and techniques.100% Up-to-Date: Content is continuously updated to reflect the latest advancements in AI agents, APIs, and automation platforms.Hands-on & Practical: Build real-world AI agents and automation workflows through guided labs, including tools like N8N and scalable data integrations.Full Capstone Project: Apply your skills in a comprehensive project where you’ll build an AI system from scratch, complete with detailed guidance.Expert Tips: Learn strategies to design efficient AI agents, optimize workflows, and avoid common pitfalls in automation projects.This course doesn’t just teach you theory—it equips you with practical, hands-on skills to implement AI agents and automation in real-world scenarios. You’ll walk away with the confidence to streamline processes and boost productivity in any professional environment.In short, this course teaches you every single topic you need to master AI Agents & AI Automation with ease.What You’ll Learn:Automate Workflows With N8N: Learn to use N8N to create powerful, automated workflows that save time and resources.Build Your AI Agent: Create intelligent AI agents from the ground up to automate tasks and solve real-world problems.Advancing Your Workflow: Master APIs, data integration, and scalability to create robust, efficient automation systems.AI Fundamentals: Gain a solid foundation in AI concepts, including machine learning basics and agent architectures.Build a System From Scratch: Design and implement a fully functional AI-driven system through hands-on projects.Enroll Now and Get:Lifetime Access including all future updatesSeveral hours of video contentAll slides & project files as downloadable resourcesFull capstone project with step-by-step guidance30-day money-back guarantee with no questions asked

Overview

Section 1: Automate Workflows With N8N

Lecture 1 Introduction To Workflow Automations

Lecture 2 What is an Automation

Lecture 3 What is N8N

Lecture 4 Setting Up N8N & Hosting

Lecture 5 Creating Workflow

Lecture 6 Key Categories of Workflow Actions

Lecture 7 Introduction to AirTable

Lecture 8 Other Platform Connections

Lecture 9 Connecting and Retrieving Data

Lecture 10 Managing Data Formats

Lecture 11 Working With Static and Dynamic Data

Lecture 12 Mastering Dynamic Data

Lecture 13 Implementing Retry Logic

Lecture 14 Naming Consistency

Lecture 15 What Next

Section 2: Build a System From Scratch

Lecture 16 Workflow Planning

Lecture 17 Setting Up Gmail Trigger

Lecture 18 Understanding HTML and Markdown

Lecture 19 Sending e-mail Data into Airtable

Lecture 20 Overview and How to Activate the Workflow

Lecture 21 Handling Multiple Data Formats

Lecture 22 Extract Data From PDF

Lecture 23 Cleaning and Formatting Data

Lecture 24 Conditional Instructions

Lecture 25 Looping Through Multiple Emails

Section 3: AI Fundamentals

Lecture 26 AI Agents Basics

Lecture 27 AI Agents vs LLM

Lecture 28 AI Agents on N8N

Lecture 29 Agentic Applications

Lecture 30 AI Agent Nodes on N8N

Lecture 31 Businesses and AI Agents

Lecture 32 Setting Up AI in our Workflow

Lecture 33 Prompting

Lecture 34 Openrouter & Getting Consistent Outputs

Section 4: Advancing Your AI Workflow: APIs, Data Integration, and Scalability

Lecture 35 Connecting Airtable into Our Workflow

Lecture 36 Handling Data Types and Errors

Lecture 37 External API Integration Basics

Lecture 38 Understanding APIs and HTTP Requests

Lecture 39 Navigating API Documentations

Lecture 40 Uploading Files to APIs

Lecture 41 Sending PDF Files for Processing

Lecture 42 Processing Responses from APIs

Lecture 43 Building Scalable Workflows

Lecture 44 Workflow Clarity

Lecture 45 Error Handling Strategies

Lecture 46 Community Resources and Support

Lecture 47 Configure Automated Backups

Lecture 48 Set up an Error Handler

Lecture 49 3 layers of failure handling

Lecture 50 Set Up Your Clients in Minutes

Section 5: Build Your AI Agent

Lecture 51 Introduction

Lecture 52 Planning Your AI Agent

Lecture 53 Calendar Agent: Goals & Initial Setup

Lecture 54 Agent Selection, LLM, & Memory

Lecture 55 N8N Tools Overview & Google OAuth Setup

Lecture 56 Calendar Agent: "Create Event" Config

Lecture 57 Calendar Agent: Delete & Update Event

Lecture 58 Calendar Agent: Get Events & Check Availability

Lecture 59 Calendar Agent: Prompting Critics

Lecture 60 Calendar Agent: Role, Constraints & Tools

Lecture 61 Calendar Agent: Instructions, I/O, Solutions

Lecture 62 Calendar Agent: First Run & Initial Fixes

Lecture 63 Calendar Agent: Time Zones & Core Functions

Lecture 64 Calendar Agent: Deleting Events & Prompt Iteration

Lecture 65 Calendar Agent: Updating Events & Final Checks

Section 6: Build AI Agents with RAG & CAG

Lecture 66 What is RAG for Business

Lecture 67 Data Management

Lecture 68 RAG & CAG Overview

Lecture 69 Chunking & Splitting Our Data

Lecture 70 Vectors & Embeddings

Lecture 71 RAG Fundamentals

Lecture 72 Retrieving Answers

Lecture 73 Deep dive on CAG

Lecture 74 Next Steps

Lecture 75 Introduction to RAG & CAG Agent

Lecture 76 Ingestion Phase

Lecture 77 Retrieval Phase

Lecture 78 Addressing Retrieval Limitations

Lecture 79 Exploring Contextual Retrieval

Lecture 80 Updating Data in RAG

Lecture 81 Testing the Updated Data System

Lecture 82 New Document Handling

Lecture 83 Implementing Efficient Updates

Lecture 84 Cache Augmented Generation

Lecture 85 Choosing the Best AI Model for the Job

Lecture 86 Summary

Beginners: Individuals with little to no prior experience in AI world.,Business Professionals: Those looking to leverage AI Automations to enhance business operations.,IT Aspirants: Professionals preparing for getting project based jobs for AI Automations,Technical and Non-Technical: Professionals aiming to gain a broad overview of AI Capabilities to enhance their businesses.,Entrepreneurs and Startups: Founders seeking to utilize AI Automations to reduce their workload.