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Agentic AI Architect - Foundations and Design

"This course teaches AI professionals to build enterprise-grade agentic systems. Learn to design reliable, safe agents, choose architectures, implement guardrails, apply advanced RAG techniques, and orchestrate multi-agent systems beyond basic demos.

In partnership withPearson
Jun, 2026
6h
Intermediate
Business
1.7K Students

Overview

Enterprise AI systems need more than basic chatbots and RAG templates. They require architecturally sound, safe, and reliable agentic systems designed from first principles. 

Most AI professionals can demonstrate a proof-of-concept, but struggle when asked to: 

  • Design agents that reason reliably across complex decision trees 

  • Implement proper safety mechanisms and guardrails before production 

  • Choose the right agent architecture (ReAct, BDI, goal-based vs. utility-based) 

  • Apply advanced RAG techniques for enterprise knowledge bases 

  • Understand when multi-agent orchestration beats a single "super-agent" 

This course bridges the gap between toy demos and enterprise-grade agentic architecture. 

Skills you'll gain

Agentic AI architecture course Enterprise AI agent design ReAct agent framework BDI agent architecture Advanced RAG techniques Raptor Splade

What you'll learn

  • Analyze agent requirements and select appropriate architectures (reactive, deliberative, BDI, ReAct, GOAP) based on task complexity, safety requirements, and explainability needs, justifying architectural decisions using established agent theory. 

  • Design and implement advanced RAG systems using techniques including Raptor, Splade, dense vs. sparse retrieval, and agentic RAG patterns, optimizing for enterprise-scale knowledge bases with proper chunking, embedding strategies, and retrieval orchestration. 

  • Specify agent goals, context, and reasoning patterns using symbolic and contextual goal representation, chain-of-thought frameworks, and structured decision trees that prevent agent drift and handle edge cases reliably. 

  • Implement comprehensive safety and alignment mechanisms including deterministic guardrails, sandboxing, circuit breakers, constitutional AI principles, access control (RBAC/ABAC), and reasoning trace capture for auditability. 

  • Design tool networks and multi-agent orchestration patterns with proper API contracts, error handling, and collaboration workflows (research → critique → refine, specialist ensembles, orchestrator hierarchies). 

Who Should Attend

Prerequisites

"This program is designed for AI/ML architects, engineers, and senior developers who need to design and implement production-grade agentic systems beyond proof-of-concept demos. It also suits solution architects, AI consultants, product managers, technical leaders, data scientists, and AI researchers transitioning to full-system architecture, all of whom require a deep understanding of distributed systems, APIs, cloud platforms, and enterprise-grade safety and reliability.

This course teaches AI professionals to build enterprise-grade agentic systems. Learn to design reliable, safe agents, choose architectures, implement guardrails, apply advanced RAG techniques, and orchestrate multi-agent systems beyond basic demos.

Chapters

Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 01: Introduction From Demos to Enterprise Architecture

Segment 02: Intro Module Introduction- Why Agent Architecture Matters

Segment 03: Classical Agent Architectures- Reactive_ Deliberative_ and Hybrid (BDI)

Segment 04: Modern Agent Frameworks- ReAct_ GOAP_ and Hierarchical Planning

Segment 05: Agent Type Taxonomy- Goal-Based_ Critique_ Specialist_ Utility_ and Orchestrator

Segment 06: Planning Algorithms and Reasoning Patterns for Agents

Segment 07: Setting Up Enterprise-Grade Tools- Flowise_ Chroma_ and Pinecone

Segment 08: Setting Up Enterprise-Grade Tools- Flowise_ Chroma_ and Pinecone

Meet your instructors

Manas Dasgupta

Manas Dasgupta

View my channel

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.