Master AI agent development by learning to build intelligent, multi-skill agents with robust workflows and error handling. This tutorial focuses on the technical essentials for creating effective AI systems. We cover how to configure agent editions, manage API limits, and implement HDL approval triggers to ensure your deployments remain stable. Whether you are building complex automation pipelines or simple conversational assistants, this guide provides the structure needed to handle edge cases effectively. By the end, you will understand the full lifecycle of AI agent development, including how to set up secure authentication processes. This session is designed for developers who need to move beyond basic concepts and implement reliable, multi-skilled agent architectures in their own projects.

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Chapters:
00:00 Module Overview & Learning Objectives
04:23 Types of Agent Orchestration Frameworks
11:40 Procurement Agent Workflow Demo
21:33 Lab: SAP BTP Orchestration Setup
29:37 Multi-Language Input & Output Translation
35:18 AI Model Providers Overview

In this video, you'll learn:
What agent orchestration really is, and the four types: centralized, decentralized, hierarchical, and federated
The real challenges of orchestration at scale: decision complexity explosion, context/memory drift, and workflow sprawl
How to configure decision workflows using rule-based, LLM-driven, and hybrid approaches
How to chain multiple skills using sequential, conditional, parallel, and looping patterns
Practical strategies for managing API limits: exponential backoff, timeout budgeting, caching, and circuit breaker patterns
How to design fallback architecture with primary, secondary, and safe-fallback layers so your system degrades gracefully instead of breaking
When to use human-in-the-loop approval versus full autonomy, plus a full hands-on walkthrough of orchestration configuration in SAP AI Launchpad (data masking, content filtering, prompt registry)

A system that's "slightly less smart but predictable and recoverable" will always outperform one that's intelligent but unreliable; that single idea is what separates consultants who can prototype from those who can actually ship. This orchestration foundation is what the next module on cross-module automation builds directly on top of.

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