Intelligent AI Agent Systems: Build the Future of AI Applications

Course Description

Learn how to design, build, and deploy intelligent AI agent systems that can reason, use tools, retrieve information, and complete tasks. You'll work with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), APIs, Python, and agent frameworks while learning how modern AI applications are built. Through hands-on development and projects, you'll learn how to connect AI models with data, tools, and external services to create applications that can respond to information and perform multi-step tasks. You'll also explore how to develop, test, and deploy AI-powered systems for real-world applications.

Course Goals

Build practical AI engineering skills for developing intelligent applications and agent-based systems. You'll work with LLMs, Python, prompt engineering, RAG, APIs, vector databases, and AI agent frameworks while learning how to connect models with external tools and information.

Through hands-on projects, you'll learn how to build AI applications that can retrieve information, use tools, make decisions, and complete multi-step tasks. You'll also develop an understanding of how to evaluate, improve, and deploy AI-powered applications.

Week
1
( 18 Hours )
Build foundational AI agents
Week
2
( 18 Hours )
Learn core architectures.
Week
3
( 18 Hours )
Create a business automation project (support, data, content).
Week
4
( 18 Hours )
Continuation: Create a business automation project (support, data, content).
Week
5
( 18 Hours )
Online Capstone: Develop a multi-agent system for a real-world problem