- Promoted by: Anonymous
- Platform: Udemy
- Category: Other IT & Software
- Language: English
- Instructor: School of AI
- Duration: 3 hour(s) 14 minute(s)
- Student(s): 583
- Rate 0 Of 5 From 0 Votes
- Expires on: 2026/02/18
-
Price:
219.990
Design and Deploy Scalable GenAI Systems with Ontologies, RAG, and Multi-Agent Architectures
Unlock your potential with a Free coupon code
for the "AI Automation Mastery in 18 Days" course by School of AI on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 583 enrolled students, provides comprehensive training in Other IT & Software.
Spanning approximately
3 hour(s)
14 minute(s)
, this course is delivered in English
and we updated the information on February 14, 2026.
To get your free access, find the coupon code at the end of this article. Happy learning!
“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.