Advanced Certification in Agentic AI Systems and Design

Yes. You’ll work on 10+ industry-aligned projects and a production-grade capstone covering Advanced RAG, MCP, Multi-Agent Systems, AgentOps, AI Security, Evaluation, and Production Deployment, helping you gain practical experience in building enterprise-ready AI solutions.

The program provides hands-on experience with OpenAI Agents SDK, LangGraph, LangChain, CrewAI, Microsoft Agent Framework, Google ADK, MCP, FastAPI, Docker, Langfuse, OpenTelemetry, n8n, and Make.com, along with modern enterprise AI development practices.

Modern AI applications need to securely interact with enterprise tools, APIs, databases, and business workflows. This program teaches Model Context Protocol (MCP) and Multi-Agent Systems to help you build scalable AI solutions that collaborate, access enterprise knowledge, and automate complex business processes.

Yes. You’ll learn how to evaluate, monitor, secure, and deploy production-ready AI systems using AgentOps, observability, guardrails, security best practices, and evaluation frameworks to ensure reliable enterprise AI applications.

A GenAI course primarily focuses on using Large Language Models (LLMs) for tasks like content generation and chatbots. This program goes beyond LLM applications by teaching you to design, build, evaluate, secure, and deploy production-ready Agentic AI systems using technologies like Advanced RAG, MCP, LangGraph, OpenAI Agents SDK, and AgentOps.

This program is best suited for Python Developers, AI/ML Engineers, Data Scientists, Software Engineers, Solution Architects, and technical professionals looking to build enterprise-grade AI systems. If you want to move beyond prompt engineering and develop intelligent, production-ready AI agents, this program is for you.

Yes, a working knowledge of Python programming is recommended, as this is a hands-on technical program. Module 1 covers Modern Python (3.11+) and software engineering concepts, but prior programming experience will help you get the most from the course.

Yes, this certification is globally recognized and is offered by IITM Pravartak. It validates your expertise in Agentic AI Engineering, enterprise AI systems, and modern AI application development, helping you stand out in the rapidly evolving AI job market.

The program is delivered through live online instructor-led sessions by industry experts and IIT faculty. You’ll also receive access to recordings, learning resources, assignments, hands-on labs, and real-world projects.

To successfully complete the program, learners should dedicate 8–10 hours per week, including live classes, assignments, self-study, hands-on labs, and project work.

You’ll receive 24×7 technical support, access to the learning portal, dedicated Teaching Assistants (TAs), doubt-clearing sessions, discussion forums, and one-on-one mentoring support whenever required.

After completing the program, you can prepare for roles such as Agentic AI Engineer, Generative AI Engineer, LLM Engineer, AI Application Engineer, AI Automation Engineer, AI Solutions Architect, Agent Platform Engineer, and Conversational AI Engineer, depending on your background and experience.

The curriculum has been designed into 7 comprehensive modules. It begins with Modern Python and Agent Architecture, then Memory and RAG (Retrieval-Augmented Generation), Tool Integration (Function Calling), and then a deep dive into Multi-Agent Collaboration. It ends with a Capstone Project and deployment strategies.

You will have over 15+ industry-specific projects to work on. For instance, you might work on developing an Autonomous Equity Research Analyst, a Multi-Agent HR Recruitment System, an Intelligent Customer Support Bot, or an Automated Content Creation Studio. These projects mimic a variety of enterprise environments.

The Capstone is a hands-on, end-to-end project in which you design and develop a production-grade Agentic System from scratch. In the capstone project, you get to design a business problem, choose the correct agent architecture (Single vs. Multi-Agent), and deploy the solution. This is a portfolio piece to present to potential employers.

Yes, unlike most other theory courses, we will emphasize production a lot. You will learn how to deploy agents on Cloud environments, how to manage dependencies with Poetry/Docker, and how to set up observability for monitoring agent performances and costs.

Yes, the industry is moving rapidly from the domain of “Chatbots” to the domain of “Agents.” Finance, Healthcare, Tech, and Customer Service organizations are hiring engineers to develop autonomous systems to cut down on costs. Currently, there is a greater demand for Agentic AI skills than the availability of experts in this domain.

Although a salary increase depends upon various factors like your present designation and performance, experts in specific AI Agent skills tend to attract higher salaries. Even alumni of Intellipaat’s advanced AI programs have reported average salary increments of 55%. They have successfully transitioned to high-end product companies.

At Intellipaat, you get access to exclusive career services such as resume building, LinkedIn profile development, and mock interview sessions with experts. In addition to this, you get access to our exclusive job portal and referrals to our network of 3100+ hiring partners.

It is possible, but it is quite challenging without any background in coding. If you are not from a technical background, we suggest that you take some of the programming courses we offer before attempting this advanced certification. If you are good at logical questions and are willing to go the extra mile to learn the programming language, we are always there to help you through the transition.