Agentic AI Systems

The Agentic AI Systems course is an advanced 2-month program for students who want to build autonomous AI agents. Learn to design multi-agent workflows using LangChain, AutoGen, CrewAI, and tool-use frameworks. Create AI systems that reason, plan, search the web, write code, and solve complex tasks independently.

Aevoriq Academy � Course

Agentic AI Systems

A 2-month advanced program for engineers who want to build autonomous AI agents. Design multi-agent workflows, integrate external tools, and deploy systems that reason, plan, browse the web, write code, and solve complex real-world tasks independently.

Enroll Now 2 Months  •  Live + Recorded  •  Certificate
2
Months Duration
100+
Hours of Training
6+
Live Projects
Online
Learning Mode

What You Will Learn

Course Curriculum

AI Agent Architecture

Understand ReAct, Plan-and-Execute, and Reflexion agent paradigms. Learn how agents reason, plan, and use tools.

Tool Use & Function Calling

Connect agents to web search, calculators, code interpreters, databases, and custom APIs via function calling.

Memory & State Management

Implement short-term, long-term, and shared memory in agents using vector stores and structured storage.

Multi-Agent Networks

Build collaborative agent systems where specialised agents delegate tasks, review each other, and reach consensus.

AutoGen & CrewAI Frameworks

Build production-grade multi-agent workflows using Microsoft AutoGen and CrewAI with role-based task planning.

Evaluation & Safety

Test and evaluate agent reliability, handle failure modes, implement guardrails, and ensure responsible AI output.

Modules

Course Breakdown

01
Agent Fundamentals

What are AI agents, agent vs chatbot, ReAct loop, tool-use paradigm, OpenAI function calling

02
LangChain Agents & Tools

LangChain agents, custom tools, toolkits, web search, code execution, structured output

03
LangGraph � Stateful Agents

Graph-based agent workflows, state machines, cycles, human-in-the-loop, LangGraph Studio

04
Memory Systems

ConversationBufferMemory, vector store memory, entity memory, summary memory, shared state

05
AutoGen Multi-Agent Workflows

Conversational agents, group chat, code-executing agents, nested chats, Microsoft AutoGen

06
CrewAI � Role-Based Agents

Crews, roles, tasks, tools, processes, sequential vs hierarchical execution, CrewAI enterprise

07
Advanced Agent Patterns

Self-reflection, critique agents, tool-augmented RAG, planning agents, task decomposition

08
Deployment & Capstone

Deploy agents as APIs, monitoring, cost control, capstone project, portfolio, placement connect

Tech Stack

Tools & Technologies

LangChainLangGraphAutoGenCrewAIOpenAI APIClaude APITavily SearchChromaDBFastAPIDockerPythonGitHub

Build Autonomous AI Agents Today

This is the most in-demand skill in AI right now. Limited seats � enrol before the batch fills.

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