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This Advanced Certification program, in collaboration with IITM Pravartak, is designed to help you master the next evolution of Artificial Intelligence: Agentic Systems. While Generative AI creates text, Agentic AI takes action. In this course, you will master Modern Python (3.11+), RAG architectures, and Multi-Agent Orchestration. You will learn to build intelligent systems that can plan, reason, use tools, and collaborate to solve complex workflows autonomously.
On successful completion of the modules in this course, learners will obtain a Agentic AI Systems and Design Certification. This Agentic AI Systems and Design Course Certification will ensure that the learners are industry-ready from Day 1.
This module builds a strong Python foundation required for modern AI and agentic system development.
Key Topics
This module introduces the core concepts behind agentic AI systems and how they differ from traditional AI applications.
Key Topics
A deep dive into the core building blocks that power intelligent, autonomous agents.
Key Topics
This module focuses on building, testing, and deploying practical single-agent systems.
Key Topics
This module explores how multiple agents collaborate to solve complex problems and how such systems are deployed in production.
Key Topics
A hands-on, end-to-end project focused on designing a production-grade agentic system.
Key Topics
This module bridges industry practice with cutting-edge academic research.
Key Topics
Agentic AI Systems
Modern Python 3.11+
Multi-Agent Orchestration
Retrieval-Augmented Generation (RAG)
CrewAI
AutoGen
LangGraph
DSPy
Function Calling
Advanced Prompt Engineering
Chain-of-Thought Reasoning
Asynchronous Programming
Pydantic and Data Validation
LLM Observability
Tool Integration
Model Context Protocol (MCP)
Memory Architectures
Vector Embeddings
System Design Patterns
Autonomous Workflows
Context-Augmented Generation (CAG)
Dependency Management
Low-Code Automation (n8n)
Ethical AI Guardrails
Graph-Based Workflows
Agentic AI Systems and Design Projects
This certification program caters to working professionals across industries. The learner diversity adds richness to class discussions and interactions.
To take the admission in this Agentic AI Systems and Design course, a simple 3-step process is to be followed. Only the candidates who will be shortlisted through this process can get admitted to the program.
A Gen AI course typically covers how to use LLMs to produce text or images (like ChatGPT). This Agentic AI course is a bit more advanced. It teaches you how to create Autonomous Agents that can plan, reason, use tools (like web search, coding, or APIs), and perform complex tasks without any human interaction. This course is geared towards developers who want to create production-grade systems, not just chatbots.
This program is best suited for Data Scientists, Python Developers, AI/ML Engineers, and Technical Architects looking for a skill upgrade. If you want to move beyond simple “prompt engineering” and build intelligent software that can solve problems autonomously, this course is for you.
Yes, the basic knowledge of the Python programming language is necessary, as this is a technical course, and hands-on programming is necessary. Although we will be discussing Modern Python (3.11+) in Module 1, your prior programming experience with the Python language will give you a competitive advantage.
Yes, the Intellipaat certificate is a globally recognized certification with collaboration from IIT Madras Pravartak. This will help you demonstrate your expertise in state-of-the-art technologies in AI and make you a specialist in Agentic Systems.
The program is offered in a virtual live class learning format. Your instructors are Industry experts, SME’s, and IIT faculty.
To obtain the most out of this course, it is required that the candidates commit themselves to around 8-10 hours every week, which includes live sessions, reading, and hands-on labs and projects.
You will get 24/7 technical support and a learning portal. Moreover, you also get a facility for 1:1 sessions with Teaching Assistants (TAs) for doubt clearance and a forum with your peers to discuss your problems and share your insights.