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Published 2/2026 Created by School of AI MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 37m ) | Size: 2.6 GB
Build real AI-powered automations, workflows, and agents - from APIs to RAG to full production systems.
What you'll learn
✓ Design and build end-to-end AI-powered automation systems from trigger to production deployment
✓ Integrate LLMs (Large Language Models) into workflows using APIs, structured prompts, and JSON outputs
✓ Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases for knowledge-based AI systems
✓ Develop and deploy AI agents capable of multi-step reasoning and tool usage with proper guardrails
✓ Create intelligent business automation workflows for sales, support, operations, and KPI monitoring
✓ Apply error handling, monitoring, logging, and cost optimization techniques for production-grade reliability
✓ Distinguish between deterministic workflows and autonomous agents, and choose the right architecture for a given use case
✓ Ship a complete, production-ready AI automation system with governance, oversight, and measurable performance metrics
Requirements
No prior AI experience required - this course starts from fundamentals and builds step-by-step
Basic computer literacy (comfortable using web applications and online tools)
Familiarity with spreadsheets or simple digital tools is helpful but not mandatory
An interest in automation, AI systems, or improving business workflows
A laptop or desktop computer with reliable internet access
Willingness to experiment, test workflows, and learn by building
Description
"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.
Who this course is for
AI Engineers & Developers who want to move beyond prompts and build production-grade automation systems
Automation Specialists looking to integrate LLMs, RAG, and AI agents into real workflows
Product Managers who want to design AI-powered features and intelligent business systems
Startup Founders & Entrepreneurs building AI-native products or internal automation infrastructure
Operations Leaders seeking to reduce manual processes and improve internal efficiency
Sales & Marketing Professionals who want to implement AI-driven lead scoring, personalization, and campaign automation
Technical Consultants & Freelancers who want to offer AI automation services to clients
Business Analysts & Strategists interested in leveraging AI for measurable performance improvement
Professionals transitioning into AI Engineering, Automation Architecture, or Agentic AI roles
Anyone serious about building real-world, production-ready AI systems, not just experimenting with tools
Welcome to - Check it Every Days
If you have any troubles with downloading, PM me
Happy Learning!!
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