Master the art of building agentic AI systems with NIIT’s hands-on program. Learn to design multi-agent workflows, RAG pipelines, and deploy real-world AI solutions. Enroll now!"
What is the minimum eligibility for joining the program?
The Building Agentic AI Systems program is open to learners with at least 6 months of hands-on experience in one modern programming language such as Python, Java, JavaScript, JavaScript, or C#.
The learners should be able to:
Write and debug simple programs independently.
Use functions, classes, and APIs in a modular way.
Work with REST APIs and handle basic data exchange using JSON.
Understand how client–server web applications work.
Build Web applications using any of the frameworks such as Flask, Spring Boot, Node.js, or ASP.NET.
Handle data building agentic ai system course, from files, databases, or APIs.
Use Git/GitHub or similar tools for version control (preferred).
Which topics are covered in the curriculum?
The curriculum bridges software engineering and applied AI system development. Learners move from building clean APIs to designing intelligent, autonomous agents.
Courses included:
Python for AI-Embedded Applications
Build and Deploy Intelligent Conversational Agents
Build RAG-Based Systems
Build Autonomous Multi-Agent Systems
Capstone Project – Engineer an Autonomous Agentic AI System (SLO-Bound)
Is there a capstone or hands-on project included?
Yes. The program concludes with a capstone project that integrates everything learned. Learners design and build a real Agentic AI system, for example:
An assistant that answers company policy queries.
A customer support agent that handles basic tickets.
A dashboard assistant that summarizes data.
They define Service Level Objectives (SLOs) such as accuracy, response time, and reliability — and produce a working PoC and documentation. Refer the brochure for more details.