Applied Agentic AI: Systems and Design

Published 8/2026
Created by AI Ladder Academy Dr Muhammad Shahid
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 20 Lectures ( 1h 17m ) | Size: 1.4 GB
Build Autonomous Agents That Execute Real Multi-Step Business Processes

What you'll learn
Explain the perceive-plan-act-reflect loop and how it differs from traditional automation and RPA
Break down the four core components of an agent system: reasoning engine, memory, tools, and guardrails
Map a real multi-step business process and decompose it into agent-executable tasks
Design safe, idempotent agent workflows that handle exceptions and long-running state
Decide when a single agent is sufficient versus when a multi-agent orchestrator-worker architecture is warranted
Design governance frameworks including approval gates, risk tiers, audit logging, and human-in-the-loop escalation
Build a concrete 90-day roadmap to introduce agentic AI into a real operational process

Requirements
No coding experience is required, though familiarity with basic business systems (ERP, CRM, or inventory platforms) is helpful
A general understanding of how your organization's operational or supply chain processes currently work
Comfort with foundational AI concepts is useful but not mandatory — key terms are explained as they're introduced

Description
This course contains the use of artificial intelligence.

Operations leaders in 2026 face a hard truth: traditional automation and RPA can no longer keep pace with the complexity of modern supply chains, purchasing workflows, and cross-department coordination. Applied Agentic AI: Systems & Design is a comprehensive, hands-on course built specifically for operations, purchasing, and technology leaders who need to move beyond static automation into truly autonomous, multi-step business process execution.

Across seven in-depth modules, you will learn how agentic AI systems actually work under the hood — the reasoning engines, memory systems, planning mechanisms, and tool-calling architectures that let an agent perceive a business condition, decide on a course of action, execute it against real enterprise systems, and reflect on the outcome. Using a single running case study — an automated supply chain reordering agent — you will follow one realistic business process from initial concept through to a fully governed, monitored, production-scaled system.

This is not a theoretical AI course. Every module ties directly back to operational decisions you will actually need to make: how to map a real business process for automation, how to integrate an agent safely with ERP, CRM, and inventory systems, when to use a single agent versus a coordinated multi-agent architecture, how to design guardrails and human-in-the-loop approval gates that satisfy compliance and finance stakeholders, and how to monitor, control cost, and scale an agentic system responsibly once it's live. By the end of this course, you will be equipped to identify a high-value process in your own organization and build a concrete ninety-day roadmap to bring agentic automation to it — safely, transparently, and with the organizational buy-in needed to make it stick.

What Is Primarily Taught
This course primarily teaches the end-to-end design, integration, governance, and deployment of agentic AI systems for real, multi-step business processes, using a supply chain reordering use case as a consistent through-line from concept to production.

Who this course is for
Operations leaders and directors responsible for process efficiency and automation strategy
Supply chain, purchasing, and procurement managers exploring intelligent automation
IT and technology leads tasked with evaluating or implementing agentic AI systems
Department heads who need to understand agentic AI well enough to sponsor or govern a pilot project
Business analysts and process owners preparing to scope an automation initiative

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