Flagship program #2 Expert AI

AI Experts & Multi-Expert Systems: Building Intelligent Digital Workers

Signature course — learn experts inside a platform built on experts, and build a 5-agent training assistant.

0.0 (0) 1 learners Advanced English 35–45 hours Developers / AI professionals Dr. Sara Al-Mansouri

What you'll learn

Distinguish AI assistants from autonomous experts
Design expert architectures with tools, memory and planning
Choose orchestration patterns: supervisor, router, parallel and sequential
Implement short-term, long-term, vector and graph memory
Connect experts safely to tools and enterprise systems
Evaluate experts for accuracy, reliability, latency, cost and safety
Learn with the Smart Instructor

This course has its own AI knowledge space. The Smart Instructor understands the syllabus, lessons and trainer materials, answers from them with citations, generates practice and adapts difficulty.

LearnPracticeTestReviewBuildResearchCoach

Curriculum

8 sections · 38 lessons · 8.3 hours · 1 assessments

AI Assistant vs. AI Expert Preview 8 min
Perception 7 min
Planning 6 min
Reasoning 7 min
Actions 7 min
Memory 7 min

The LLM as the Reasoning Core 7 min
Tools and Function Calling 8 min
Planning Components 7 min
Observation and Feedback Loops 7 min
Execution and Guardrails 6 min
AI Lab: Build Your First Tool-Using Expert AI Lab 45 min

The Expert Supervisor 7 min
The Expert Router 7 min
Specialised Experts 7 min
Parallel Experts 6 min
Sequential Experts 6 min

Designing a Multi-Expert System 7 min
Communication and Handoffs 6 min
Conflict, Consensus and Review 7 min
AI Lab: Orchestrate Three Experts AI Lab 45 min

Short-Term Memory 6 min
Long-Term Memory 6 min
Vector Memory 7 min
Knowledge Graphs as Memory 6 min
User Profiles 6 min

Web and Search Tools 6 min
Database Tools 6 min
APIs and Files 7 min
Code Execution 6 min
Enterprise Systems 6 min

Accuracy 6 min
Tool-Use Success 6 min
Reliability 6 min
Latency 6 min
Cost 6 min
Safety 6 min

Final Project: Build & Submit AI Lab 180 min

Description

The signature course of Smart.edu-gate.pro. The platform itself is a multi-expert system — a Smart Tutor, Smart Instructor, Quiz, Assessment, Coding, Debugging, Research, Planner and Career experts coordinated by an orchestrator. In this course you learn exactly how such systems are built, and you watch the expert trace of your own questions while you learn.

Each module ends with an AI Lab where the Smart Instructor explains, the Coding Expert helps you build, the Debugging Expert finds problems, the Assessment Expert evaluates your work and the Tutor Expert teaches any missing concept.

Prerequisites: Generative AI Foundations and basic Python.

Skills you will build
AI Experts & OrchestrationGenerative AIPython ProgrammingRetrieval-Augmented Generation

Final project (AI Lab)

Build a 5-agent intelligent training assistant: an orchestrator that routes to a Tutor Expert, a Quiz Expert, an Assessment Expert and a Planner Expert, sharing one learner-profile memory. Deliver the architecture diagram, expert prompts, tool definitions, a routing table, an evaluation of 10 test conversations and a short safety analysis.

Built in the AI Lab with your Smart Instructor, Coding, Debugging, Tutor and Assessment experts — evaluated against a rubric and reviewed by your trainer.

Your trainer

S
Dr. Sara Al-Mansouri
Artificial Intelligence
AI Researcher & Educator · Smart AI Academy lead

Sara leads applied AI programs and has trained thousands of engineers in machine learning, generative AI, RAG and multi-expert systems.

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$79.99 Included in PRO
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  • 8.3 hours of content
  • Smart Instructor with cited answers
  • AI-generated practice & adaptive remediation
  • Verifiable certificate of completion
Part of learning paths
AI Engineer