Advanced Agentic AI Techniques

Name: Advanced Agentic AI Techniques Course
Rating: 4 (1 reviews)

This course equips learners with the essential skills and knowledge to design and implement sophisticated agent-based systems. The course covers long-term memory integration within agents, emphasizing the LangGraph framework. Participants explore multi-agent architectures and state management, focusing on effective orchestration and data routing. Through hands-on projects, learners will implement agentic systems, culminating in the development of an Autonomous Knowledge Agent.

Course

Intermediate
9 hours
Updated: Jan 23, 2026

Subscription · Monthly

Cancel Anytime
Unlimited access to hundreds of top-rated courses
Hands-on projects with expert feedback
Personalized career coaching and interview prep
Program Certificates

Skills you'll learn

15 skills

Multi-Agent Systems
Multi-Agent Implementation
Implementing Multi-Agent Orchestration
Multi-Agent Architecture in Python
Long-term Memory Management for AI Agents

Prerequisites

2 prerequisites

Prior to enrolling, you should have the following knowledge:

Basic LangChain
Intermediate Python

You will also need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

12 lessons
1 project

Advanced Agentic AI Techniques

Course Introduction
Meet your instructors and get an overview of advanced agentic systems and course structure.
Long-Term Agent Memory
Explore long-term agent memory: understand semantic, episodic, and procedural memories. Learn storage strategies and best practices for personalized, coherent interactions.
Long-Term Agent Memory in LangGraph
Learn how to persist agent memory in LangGraph using databases like SQLite and enhance long-term AI memory with vector storage via LangMem for robust, session-aware agents.
Designing Multi-Agent Architecture
Explain the core components of multi-agent systems and how to design their high-level architecture.
Designing Multi-Agent Architectures with LangGraph
Explore foundational multi-agent architecture patterns using LangGraph. Design, implement, and visualize orchestrated and peer-to-peer agent workflows for real-world scenarios.
State Management in Multi-Agent Systems
Evaluate methods for tracking and updating agent state across multi-turn interactions.
Implementing Multi-Agent Architectures with LangGraph
Learn to design, implement, and orchestrate multi-agent workflows using LangGraph for structured, auditable, and automated content pipelines with specialized agents and custom state.
Orchestrating Agent Activities
Apply orchestration techniques to coordinate multiple agent actions and achieve complex workflows.
Orchestrating Agent Activities with LangGraph
Learn to orchestrate multi-agent workflows with LangGraph, using supervisors, handoffs, tool-calling, and structured state management for scalable, modular agent systems.
Routing and Data Flow in Agentic Systems
Configure routing mechanisms to manage data flow among agents in multi-agent systems.
Implementing Data Routing in Agentic Systems with LangGraph
Learn to implement content-based, round-robin, and priority-based data routing in agentic systems using LangGraph, Pydantic, and LangChain frameworks.

Building Agents Project: Autonomous Knowledge Agent
In this project, you will develop UDA-Hub, an intelligent, multi-agent decision suite capable of resolving customer support tickets across multiple platforms.

Program Instructors

3 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Henrique Santana

Principal Machine Learning Engineer at Dell Technologies

Christopher Agostino

Founder and Research Scientist at NPC Worldwide

Joshua Bernhard

Staff Data Scientist at Marketplace

Henrique Santana

Principal Machine Learning Engineer at Dell Technologies

Christopher Agostino

Founder and Research Scientist at NPC Worldwide

Joshua Bernhard

Staff Data Scientist at Marketplace

About this program

Master memory management and multi-agent architecture. Build adaptive AI systems with orchestration, concurrency and robust routing using LangChain and LangGraph.

Subscription · Monthly

Cancel Anytime
Unlimited access to hundreds of top-rated courses
Hands-on projects with expert feedback
Personalized career coaching and interview prep
Program Certificates

Advanced Agentic AI Techniques

Skills you'll learn

Prerequisites

Course Outline

Program Instructors

About this program

Other programs you might like: