AI Automation Mastery in 18 Days

“This course contains the use of artificial intelligence”

Welcome to AI Automation Mastery in 18 Days, a structured, hands-on program designed to help you build real-world AI-powered automation systems from scratch — and take them all the way to production.

This course is your complete roadmap to mastering AI automation, workflow design, no-code automation tools, API integrations, webhooks, LLM integration, prompt engineering, RAG (Retrieval-Augmented Generation), AI agents, and production deployment.

Over 18 focused days, you will learn how to design, build, monitor, and optimize intelligent systems that automate real business processes.

You will begin by mastering automation fundamentals, understanding the difference between AI vs automation vs agents, and learning how to break down workflows into structured triggers, logic, and outputs. From there, you’ll move into API development basics, REST APIs, JSON handling, and webhook triggers so you can connect applications seamlessly.

Next, you’ll build real workflows using modern no-code automation platforms like Make, Zapier, and n8n, learning data mapping, conditional logic, and error handling. You will integrate OpenAI models, enforce structured JSON outputs, and design deterministic prompts for reliable results.

You’ll then level up with AI model integration, learning how Large Language Models (LLMs) work, how to control token usage, reduce hallucinations, and design robust AI-driven decision engines.

A major highlight of this course is mastering RAG architecture and vector databases, where you’ll build intelligent systems that retrieve and reason over your own documents. You’ll understand embeddings, semantic search, and how to build a complete document Q&A system powered by AI.

From there, you’ll explore AI agents, learning how to design systems that perform multi-step reasoning, use tools dynamically, and operate with guardrails. You’ll compare deterministic workflows vs autonomous agents, and learn when each architecture is appropriate.

The final modules focus on business automation, including:

• Lead qualification automation

• AI-powered support ticket routing

• Sales and marketing automation

• CRM enrichment with AI

• Internal operations automation

• KPI monitoring systems

• Intelligent alerting workflows

You’ll also learn critical production skills like:

• AI monitoring and observability

• Cost optimization for API usage

• Latency reduction

• Logging and performance tracking

• Governance and guardrails

• Deployment best practices

By the end of this course, you won’t just understand AI automation — you will have built a complete end-to-end AI automation system from trigger to execution to monitoring.

This course is ideal for:

• AI engineers

• Automation specialists

• Product managers

• Startup founders

• Operations leaders

• Anyone building AI-native systems

If you want to master AI workflows, automation architecture, LLM integration, RAG systems, and agentic AI design — and build production-ready intelligent systems — this course gives you the complete blueprint.

Welcome to the future of AI-powered automation infrastructure.