1.1: Welcome to the Agentic Era

1.2: Course Roadmap: Your 38-Hour Journey from Beginner to AI Agent Builder

1.3: Why 2026 Belongs to AI Agents, And What It Means for Your Career

1.4: Live Demo, Watch a Finished Agent Handle a Real Customer on WhatsApp

1.5: What Is an LLM, Understanding AI as a Pattern-Prediction Machine

1.6: Models vs Products, Why GPT Is Not ChatGPT and Why It Matters

1.7: Tokens and Context Windows, Why AI Forgets Long Conversations

1.8: The Model Landscape, GPT, Claude, Gemini, Grok and Open-Source Models

1.9: Chatbots vs Workflows vs Agents, The Three Levels of AI Systems

1.10: The Agent Loop, Think, Act and Observe Explained with Everyday Examples

1.11: Anatomy of an Agent, Instructions, Memory, Tools and Outputs

1.12: Where Agents Create Money, Real Use Cases from Pakistani Businesses

1.13: APIs Explained, The Restaurant Waiter Analogy

1.14: JSON in 15 Minutes, Reading the Language Apps Use to Talk

1.15: API Keys, Getting Them, Using Them and Keeping Them Safe

2.1: The 4-Part Prompt, Role, Context, Task and Format

2.2: Few-Shot Prompting, Teaching AI with Examples Instead of Instructions

2.3: Iterating Like a Pro, Turning a Weak Answer into a Great One

2.4: Common Prompting Mistakes, And How to Spot Them in Your Own Prompts

2.5: System Prompts, Setting an AI's Personality and Rules Permanently

2.6: Building Your Reusable Prompt Library, Your Personal AI Toolkit

2.7: Step-by-Step Reasoning, Getting AI to Show Its Work for Better Answers

2.8: AI for Documents, Presentations and Data Analysis in Daily Office Work

2.9: Claude Projects, Giving Claude Permanent Knowledge of Your Work

2.10: Custom GPTs, Building Your Own Specialized ChatGPT

2.11: Perplexity for Research, Getting Cited and Up-to-Date Answers

2.12: Choosing the Right Model for the Job, A Practical Comparison Test

2.13: Project 01: Build Your Personal AI Assistant for Your Studies or Business

3.1: What Is n8n, Why It Became the Number One Tool for AI Automation

3.2: Setting Up Your Free n8n Cloud Account, Step by Step

3.3: Interface Tour, Canvas, Nodes, Executions and the Data Panel

3.4: Your First Workflow in 10 Minutes, Schedule, Fetch and Notify

3.5: Triggers Explained, Manual, Schedule and App Triggers

3.6: Webhooks Explained, Letting the Outside World Start Your Workflow

3.7: Connecting Accounts Safely, Credentials for Gmail, Sheets and Telegram

3.8: How Data Flows Between Nodes, Items, Fields and the JSON View

3.9: Mapping Data with Drag-and-Drop Expressions

3.10: Cleaning and Reshaping Data with the Edit Fields Node

3.11: Date, Text and Number Tricks You Will Use in Every Workflow

3.12: IF and Switch Nodes, Teaching Workflows to Make Decisions

3.13: Merging Branches, Combining Data from Multiple Sources

3.14: Loops, Processing 100 Rows One by One

3.15: Error Handling and Retries, Building Workflows That Never Break at 2 AM

3.16: Planning a Workflow, Mapping a Business Process Before Building It

3.17: Reading and Classifying Incoming Gmail with AI

3.18: Drafting Professional Email Replies Automatically

3.19: Labels, Escalation and the Human-Approval Step

3.20: Project 02: Smart Gmail Auto-Reply Agent That Classifies, Drafts and Flags Emails

3.21: Capturing Website Form Submissions with a Webhook

3.22: Saving and Organizing Leads in Google Sheets

3.23: Project 03: Lead Capture Machine, Form to Google Sheets to Instant WhatsApp Alert

4.1: Inside the AI Agent Node, Chat Model, Memory and Tools

4.2: Connecting Your Agent's Brain, Gemini, OpenAI and OpenRouter Setup

4.3: Writing System Messages That Keep Agents On-Task

4.4: Temperature, Tokens and Settings, Tuning Agent Behaviour Without Code

4.5: Giving Agents Memory, Remembering Customers Across Messages

4.6: Attaching Tools, Google Sheets, Calendar and Web Requests as Agent Abilities

4.7: Tool Descriptions, Teaching the Agent When to Use Each Tool

4.8: Testing and Debugging Agents, Reading the Agent's Thought Process

4.9: Designing a Support Agent, Tone, Rules and Escalation Policy

4.10: Connecting Telegram, Plus the WhatsApp Business Path for Pakistan

4.11: Handling Orders, FAQs and Complaints with One Agent

4.12: Logging Every Conversation to Google Sheets for Quality Review

4.13: Project 04: 24/7 Customer Support Agent on Telegram and WhatsApp with Memory

4.14: From Keyword to Script, Chaining AI Steps for Long-Form Content

4.15: Generating Titles, Hooks and Descriptions That Match Your Brand Voice

4.16: Project 05: YouTube Content Generator, Keyword In, Full Script and Title Out

5.1: The Knowledge Problem, Why ChatGPT Does Not Know Your Business

5.2: RAG Explained with a Library Analogy, Retrieve First, Answer Second

5.3: Embeddings, How AI Turns Meaning into Numbers Without the Math

5.4: Vector Databases, What They Store and Why Search Becomes Smart

5.5: Setting Up Supabase as Your Free Vector Store

5.6: Auto-Ingesting Documents from Google Drive into the Database

5.7: Chunking, Splitting Documents the Right Way for Accurate Answers

5.8: Connecting the Vector Store to Your n8n Agent

5.9: Top-K, Chunk Size and Overlap, The Three Dials That Control Quality

5.10: Making Agents Cite Their Sources and Admit When They Do Not Know

5.11: Pinecone as an Alternative Store, When and Why to Switch

5.12: Keeping the Knowledge Base Fresh, Auto-Updating on New Files

5.13: Loading Real Business Documents, Policies, Price Lists and Product PDFs

5.14: Stress-Testing Your Bot, Tricky Questions, Missing Info and Follow-Ups

5.15: Project 06: Chat With My Business Knowledge Bot, Upload PDFs, Get an Expert Agent

6.1: How Voice Agents Work, Speech to Text, Brain, Text to Speech

6.2: ElevenLabs Setup and the Agent Dashboard Tour

6.3: Choosing Voices, Languages and Accents for Pakistani Customers

6.4: Latency and Conversation Flow, What Makes a Voice Agent Feel Human

6.5: Writing the Agent Persona, Greeting, Tone and Boundaries

6.6: Connecting Your RAG Knowledge Base So the Agent Knows the Business

6.7: Adding the Booking Tool, Checking Availability and Confirming via n8n

6.8: Handling Interruptions, Silence and Let Me Talk to a Human

6.9: Testing with Real Conversations and Fixing Weak Answers

6.10: Deploying Your Agent, Website Embed and the Phone-Line Option

6.11: Project 07: AI Voice Receptionist That Answers FAQs and Books Appointments

7.1: The Make Canvas, Scenarios, Modules and Operations

7.2: Make vs n8n, An Honest Comparison of Pricing, Power and Learning Curve

7.3: Rebuilding Your Lead Workflow in Make, Same Logic, New Tool

7.4: Scheduling and Operations Budgeting, Keeping Costs Near Zero

7.5: Routers and Filters, Sending Data Down the Right Path

7.6: Iterators and Aggregators, Handling Lists Like a Pro

7.7: Using ChatGPT and Claude Modules Inside Make Scenarios

7.8: AI Image Generation Inside a Workflow

7.9: Designing a Content Engine, From Idea Bank to Published Post

7.10: Project 08: AI Social Media Engine, Idea to Caption to Image to Auto-Post

7.11: Extracting Structured Data from Documents with AI Vision

7.12: Project 09: Invoice and Receipt Extractor, Photo In, Clean Google Sheets Rows Out

8.1: What Is Claude Cowork, And How It Differs from Chatting with AI

8.2: Setup, Plans and Your Very First Delegated Task

8.3: How Cowork Thinks, Watching the Agent Plan, Act and Self-Correct

8.4: Cleaning a Messy Desktop and Organizing Folders by Instruction

8.5: Generating Word Reports, Excel Sheets and PowerPoint Decks from Raw Data

8.6: Batch Tasks, Renaming, Converting and Summarizing Dozens of Files at Once

8.7: 20+ Real Cowork Use Cases for Office Professionals

8.8: The Browser Extension, Letting Claude Act on Websites for You

8.9: Connectors, Linking Claude to Gmail, Drive, Calendar and 100+ Apps

8.10: Scheduled Tasks, Putting Your Routine Work on Autopilot

8.11: Safety and Control, Approvals, Limits and What Not to Automate

8.12: What Are Skills, Teaching Claude Your Way of Working

8.13: Using Ready-Made Skills, Plus a Starter Skills Pack

8.14: Writing Your Own Skill in Plain English, No Code Required

8.15: Plugins, Installing and Customizing Extra Abilities

8.16: Project 10: Weekly Report Machine, Auto-Generated Business Report Every Monday

8.17: Describing a Website into Existence, Layout, Content and Your AI Digital Twin

8.18: Project 11: Personal Website with an AI Digital Twin That Answers Questions About You

9.1: What Is MCP, The USB Port for AI and Why Every AI Company Adopted It

9.2: Installing Your First MCP Servers in Claude Desktop

9.3: Hands-On, Giving Claude Live Web Search and File Powers via MCP

9.4: Connecting MCP Tools to n8n Agents

9.5: Tavily, Real-Time Web Search for Your Agents

9.6: FireCrawl, Turning Any Website into Clean Agent-Readable Data

9.7: Combining Search and Scraping into One Research Ability

9.8: Why One Agent Is Not Enough, The Specialist Team Principle

9.9: The Orchestrator Pattern, One Manager, Many Workers

9.10: Designing Agent Hand-Offs, Who Does What in Which Order

9.11: Cost and Speed, Keeping Multi-Agent Systems Efficient

9.12: Building the Research Team, Searcher, Analyst and Writer Agents

9.13: Producing a Polished, Cited Research Report Automatically

9.14: Project 12: Deep-Research Agent Team, One Question In, Full Report Out

10.1: The Business Case, Why Companies Pay Monthly for Lead-Gen Systems

10.2: Stage 1: Finding Leads Automatically with MCP Search and Scraping

10.3: Stage 2: Enriching and Scoring Leads with AI

10.4: Stage 3: Pushing Qualified Leads into a CRM with Pipedrive

10.5: Stage 4: Automated and Personalized Nurture Follow-Ups

10.6: Capstone Project 13: Autonomous Lead-Generation Machine, End to End

10.7: Error Handling, Alerts and Logging for Systems That Run Unattended

10.8: The Testing Checklist, How Professionals Validate a Workflow Before Delivery

10.9: Documenting and Handing Over an Automation to a Client

10.10: The AI Services Menu, What to Sell and What to Charge in PKR and USD

10.11: Winning Clients on Fiverr and Upwork, Profile, Gigs and Proposals

10.12: Pitching Local SMEs, The Demo-First Approach That Closes Deals

10.13: Turning Course Projects into a Sellable Template Portfolio

10.14: Project 14: Your AI-Services Portfolio Site Showcasing Every System You Built

10.15: Privacy, Data Ethics and the Limits of Automation

10.16: Final Assessment and Your Analytix Camp Certification