AI Agents Foundation
➤ What are AI agents? Definition and core concepts
➤ Types of AI agents (Reactive, Deliberative, Hybrid)
➤ Real-world applications and business scope
➤ Current limitations and future possibilities
➤ AI growth and business opportunities

APIs & Integration Fundamentals
➤ What are APIs, and why do they matter for AI agents
➤ REST APIs, webhooks, and authentication methods
➤ API documentation reading and testing (Postman, CURL)
➤ Rate limiting, error handling, and best practices
➤ API security and key management
➤ Common Integration Challenges (Authentication failures, timeout issues, data format mismatches)

N8N Platform Overview
➤ N8N introduction and core philosophy
➤ Interface walkthrough and basic concepts
➤ Node types and workflow structure
➤ Data flow and transformation basics
➤ N8N vs traditional automation tools (Zapier, Make.com)

Building Your First Workflows (Non-AI)
➤ Building your first automation workflow
➤ Trigger nodes (Webhook, Schedule, Email)
➤ Action nodes: HTTP Request, Email, Database operations
➤ Data manipulation and conditional logic
➤ Error handling and debugging techniques

Advanced Workflow Patterns
➤ Sub-workflows and modular design
➤ Variables: Static vs dynamic
➤ Working with JSON and data expressions
➤ Loop nodes and batch processing

Project – Complete Automation System
➤ Project: Multi-step business workflow
➤ Database integration (PostgreSQL, MySQL, Airtable)
➤ Google Sheets automation
➤ Slack/Discord notifications
➤ Email automation workflows

AI Automation Fundamentals
➤ End-to-end AI automation architecture
➤ AI Agent vs AI Workflow differences
➤ Decision-making in AI agents
➤ Agent communication and coordination 
➤ Tool use and function calling

Large Language Models (LLMs)
➤ Popular LLMs: OpenAI GPT, Claude, Llama, Gemini
➤ Context windows and token management
➤ Cost optimization strategies 
➤ API setup for each LLM
➤ When to use which model

Vector Databases & RAG Systems
➤ Vector databases: Purpose, types, and implementation
➤ Embeddings and semantic search
➤ Retrieval-Augmented Generation (RAG) systems
➤ Pinecone, Qdrant, Weaviate integration
➤ Document processing and chunking strategies

Memory Systems & Context Management
➤ Short-term vs long-term memory
➤ Conversation state management
➤ Context window optimization
➤ Session management techniques

Prompt Engineering Mastery
➤ Prompt engineering fundamentals and best practices
➤ Prompt structure: System, User, and Assistant messages
➤ Few-shot prompting techniques
➤ Chain-of-thought and reasoning prompts
➤ Prompt injection prevention
➤ Temperature and parameter tuning

N8N AI Integration Deep Dive
➤ AI-related nodes in N8N
➤ OpenAI node configuration
➤ Claude (Anthropic) integration 
➤ Image and audio processing capabilities
➤ Tool calling and function execution

Advanced AI Workflows 

➤ Data transformation for AI inputs
➤ Error handling in AI workflows
➤ Performance optimization for AI operations
➤ Retry strategies and fallback mechanisms

Project – AI-Powered Content Analyzer
➤ Build: Document analyzer with RAG
➤ Sentiment analysis workflow
➤ Multi-modal AI agent (text + image)
➤ Response generation with context

Email-Based Customer Support Automation
➤ Business Case: E-commerce customer inquiry automation
➤ Email trigger setup and preprocessing
➤ AI-powered email classification
➤ Sentiment analysis implementation
➤ Dynamic response generation
➤ Priority-based routing

E-commerce Customer Chatbot
➤ Business Case: 24/7 customer support for online store
➤ Telegram/WhatsApp bot integration
➤ Product catalog integration
➤ Personalized product recommendations
➤ Order tracking automation
➤ Live chat handoff mechanisms

Website Chat Widget Integration
➤ Building custom chat widgets
➤ Webhook-based chat system
➤ Session management
➤ Lead capture and CRM integration
➤ Chat transcript storage

Advanced Messenger Chatbots
➤ Facebook Messenger integration
➤ Instagram DM automation
➤ Multi-platform chatbot orchestration
➤ Rich media responses (buttons, carousels, quick replies)

AI Personal Assistant with MCP
➤ Business Case: Personal productivity assistant
➤ Introduction to Model Context Protocol (MCP)
➤ Calendar integration (Google Calendar, Outlook)
➤ Google Tasks and ToDo management
➤ Email automation and filtering
➤ File creation and management
➤ Multi-modal input handling (text, voice, images)

Social Media Content Generation Agent
➤ Business Case: Content creation for multiple platforms
➤ AI-powered content ideation
➤ Platform-specific content adaptation (IG, Twitter, LinkedIn, FB)
➤ Image generation integration (DALL-E, Midjourney)
➤ Hashtag and caption generation
➤ Multi-step content moderation

Social Media Posting & Scheduling
➤ Automated content scheduling
➤ Multi-step approval workflow design
➤ Compliance checking and brand guidelines
➤ Analytics and performance tracking
➤ Facebook/Instagram posting automation
➤ LinkedIn content automation
➤ Twitter thread creation 

Voice AI Integration
➤ Voice message handling (Whisper API)
➤ Text-to-speech integration
➤ VoIP integration basics
➤ Voice-based booking systems

Web Scraping for Lead Generation
➤ What is web scraping (legal & ethical considerations)
➤ Google Maps business scraping
➤ LinkedIn profile scraping
➤ Facebook/Instagram scraping
➤ HTML scraping from websites
➤ API-based scraping (Apollo.io, Hunter.io)

AI-Powered Lead Qualification
➤ Business Case: B2B lead generation and qualification
➤ Multi-source lead enrichment
➤ AI-based lead scoring and segmentation
➤ ICP (Ideal Customer Profile) matching
➤ Lead research automation
➤ Database management for leads
➤ Multi-approach lead funneling

Cold Email Outreach System 
➤ Business Case: Personalized cold email campaigns 
➤ Email infrastructure setup (SMTP, Gmail API) 
➤ AI-generated personalized emails 
➤ Multi-step email sequences 
➤ Reply detection and classification 
➤ Response tracking and follow-up automation 
➤ A/B testing automation

Complete Sales Pipeline
➤ CRM integration (HubSpot, Pipedrive)
➤ Meeting booking automation (Calendly integration)
➤ Sales analytics and reporting
➤ Deal stage progression automation
➤ Pipeline performance tracking

Alternative Platforms Overview
➤ Make.com platform comparison
➤ Voiceflow for chatbot building
➤ When to use which platform
➤ Migration strategies between platforms

Production Deployment & Security
➤ Self-hosting n8n (Docker, NPM)
➤ Cloud hosting options
➤ Environment variables and secrets management
➤ Security best practices (API key management, encryption)
➤ Access controls and authentication
➤ Monitoring and logging setup
➤ Performance metrics and optimization

Scaling & Maintenance
➤ Performance optimization strategies
➤ Workflow backup and version control
➤ Team collaboration features
➤ Disaster recovery planning
➤ Cost monitoring and optimization
➤ Error tracking and alerting systems

Capstone Project Planning
➤ Full-scale AI agent architecture
➤ Omnichannel data capture design
➤ Unified dashboard and reporting
➤ Event-based triggers
➤ Error handling and fallbacks

Capstone Project – Build & Deploy Full-Scale AI Agent 
➤ Students build a comprehensive AI automation system 
➤ Requirements: Multi-channel integration
➤ AI-powered processing and decision making
➤ Database management 
➤ Real-time notifications 
➤ Analytics dashboard 
➤ Production deployment

Capstone Project – Presentation & Review
➤ Student project presentations
➤ Code review and optimization suggestions
➤ Deployment troubleshooting
➤ Performance analysis

Remote Jobs & AI Career Strategy
➤ Understanding the Global AI Job Market
➤ High-Demand Remote Roles (AI Engineer, No-Code AI Builder, Prompt Engineer)
➤ Platforms for Remote Work (LinkedIn, We Work Remotely, AngelList, Turing)
➤ Creating a Job-Ready AI Portfolio
➤ Writing AI-focused CVs and Cover Letters
➤ Interview preparation for AI roles
➤ Soft Skills and Remote Work best practices

Freelancing with AI Automation
➤ Introduction to AI Freelancing
➤ Marketplace strategies (Upwork, Freelancer, PeoplePerHour, Contra)
➤ In-demand AI Freelancing Gigs (Chatbot setup, automation, API integration, workflow design)
➤ Creating an Optimized Freelance Profile
➤ Portfolio best practices
➤ Bidding strategies and client communication
➤ Pricing your services ($500-$5,000 per project)
➤ Building long-term client relationships