All Courses
×

Advanced Certification in Agentic AI Systems and Design

  • Master the future of AI: Build Autonomous Agents, Multi-Agent Systems, and Production-Grade RAG Pipelines using CrewAI, AutoGen, LangGraph, and Modern Python.
  • Live online Interactive sessions from Top Industry Experts and AI Architects
  • Build 10+ AI Agents capable of Reasoning, Planning, and Tool Execution
  • 100% Placement support for AI Engineering roles
  • Earn a prestigious certification from IIT Madras Pravartak

Next cohort Starts
14th March 2026
Learning Format
Online
Course duration
5 Months

Why Join this Agentic AI Certification Training?

Future-Proof Your Career
Move beyond simple chatbots. Master the next evolution of AI by building autonomous systems that top enterprises are racing to deploy.
Master Cutting-Edge Tools
Get hands-on experience orchestrating multi-agent workflows using industry-standard frameworks like CrewAI, AutoGen, LangGraph, and DSPy.
Industry-Oriented Projects
Build 15+ production-grade AI agents and multi-agent systems capable of advanced reasoning, planning, and autonomous tool execution.
100% Placement Support
Access exclusive career services including resume building, one-on-one mentoring, and referrals to a network of 3,100+ hiring partners.
Next Cohort Starts on
14th March 2026
Days
Hrs
Min
Sec
Corporate Training
Enterprise Training for Teams
Get a quote

Agentic AI Systems and Design Career Transitions

55% Average Salary Hike

$1,20,000 The Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Job Opportunities

Agentic AI refers to systems that can autonomously plan, reason, and act on your behalf. Think of it like your assistant who can do all the heavy lifting and shifting for you, and leaves you with plenty of time to do productive things. This not only helps you to become super productive, but also helps your employer to move things faster. The demand for candidates with Agentic AI skills is on the rise, and will only increase in the near future.

Industry Hiring Trends

Top Companies hiring

Top Companies hiring Image

About the Agentic AI Systems & Design Course Overview

Key Features

Key Feature
5 Months Live Interactive Sessions
Key Feature
200+ Hrs Self-paced Videos and Labs
Key Feature
15+ Industry-relevant Agentic Projects
Key Feature
Live Classes from AI Architects and IIT Faculty
Key Feature
Career Services by Intellipaat
Key Feature
Certification from IIT Madras Pravartak
Key Feature
24/7 Technical Support

Agentic AI Systems and Design Certification

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.

About IITM Pravartak
IITM Pravartak, a Technology Innovation Hub of IIT Madras is funded by Department of Science and Technology, GOI under its National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), focuses on application-oriented research and innovation in the areas SNACS. BharOS, India’s first mobile operating system is developed by an IITM Pravartak incubated company.
Advanced Certification in Agentic AI Systems and Design Certificate Image
IITM Pravartak Certificate
Intellipaat Certificate Benefits
  • Validate your skills with a globally recognised credential from Intellipaat
  • Unlock high-paying next generation AI age roles in Fortune 500 companies

Career Services
Career Services are provided to all the learners after they complete the course and clear the PRT (Placement Readiness Test).
What we provide?
  • Placement Assistance
  • Exclusive access to Intellipaat Job portal
  • Mock Interview Preparation
  • 1 on 1 Career Mentoring Sessions
  • Career Oriented Sessions
  • Resume & LinkedIn Profile Building
3100+ Hiring organisations
ip new layout default

Agentic AI Systems and Design Course Syllabus

Live Course

Module 1 - Modern Python (3.11+) for Agentic Systems

This module builds a strong Python foundation required for modern AI and agentic system development.

Key Topics

  • Python fundamentals and best practices using modern IDEs (VS Code / PyCharm); clean code, modular design, debugging, and logging
  • Modern Python (3.11+) features: type hints (list[str], | None), dataclasses, TypedDict, Protocol, generics, pattern matching (match-case)
  • Dependency and environment management: Poetry for project structuring and reproducible builds; uv for ultra-fast package installation and dependency resolution
  • Object-Oriented Programming (OOP): classes, inheritance, polymorphism, abstraction; composition-first design and common design patterns (Factory, Strategy, Adapter)
  • Async/Await and concurrency patterns: asyncio, coroutines, task groups, parallel API calls, retries, and timeouts; when to use async vs threads/processes
  • Python for Data Science and AI pipelines: role of Python across ingestion, preprocessing, feature engineering, modeling, and evaluation
  • Working with Python APIs and SDKs; intro to vibe coding and productivity using GitHub Copilot
  • Data manipulation and numerical computing: NumPy for vectorized operations; Pandas for joins, groupby, transformations, and analytics workflows. Introduction to Polars
  • Data preprocessing techniques: handling missing values, normalization, encoding, scaling, and outlier treatment
  • Exploratory data analysis and visualization using Plotly and Dash for interactive analytics applications
  • Pydantic or Pandera for data validation, schema enforcement, and type safety in AI pipelines, APIs, and agent/tool inputs
  • DSPy: declarative programming for LLM workflows, structured reasoning, and prompt optimization
  • Langfuse: observability, tracing, evaluation, and monitoring of LLM and agent behavior
  • Design Pattern in Python

Module 2 - Agentic AI Foundations and System Architecture

This module introduces the core concepts behind agentic AI systems and how they differ from traditional AI applications.

Key Topics

  • What are AI Agents?
  • Definitions, characteristics, and evolution of LLM-based apps
  • Agentic system architecture:
  • Planner, Executor, Memory, Tools, and Feedback loops
  • Agent lifecycles and decision-making flows
  • Design principles for scalable and reliable agent systems
  • Monolithic vs modular agent architectures

A deep dive into the core building blocks that power intelligent, autonomous agents.

Key Topics

  • Advanced Prompt Engineering
  • System prompts, role prompts, and instruction hierarchies
  • Self-reflection, self-correction, and chain-of-thought optimization
  • Prompt Strategies: Few-shot, zero-shot, self-ask, reflection, and planner–executor prompts
  • Memory in Agentic Systems
  • Types of Memory: Short-term, long-term, episodic, semantic, and hybrid memory architectures
  • Memory storage using vector databases and structured stores
  • Retrieval-Augmented Generation (RAG)
  • Grounding agents in proprietary and enterprise data
  • Chunking strategies, embeddings, and retrieval pipelines
  • Tool Integration (Function Calling)
  • Connecting agents to APIs, databases, and enterprise systems
  • Tool selection, execution, and error handling
  • RAG, TAG, and CAG
  • RAG: Retrieval-based grounding
  • TAG (Tool-Augmented Generation): Tool-driven reasoning
  • CAG (Context-Augmented Generation): Context injection and orchestration
  • Function Calling and Tool Use
  • Deterministic execution
  • Error recovery and validation
  • MCP (Model Context Protocol)
  • Standardizing context exchange between agents, tools, and models

This module focuses on building, testing, and deploying practical single-agent systems.

Key Topics

  • Setting up the agent development environment
  • Designing agent workflows:
  • Planning, reasoning, tool usage, and memory
  • Building a single-agent system with:
  • Planning logic
  • Tool integration
  • RAG pipelines
  • Testing and evaluation:
  • Debugging agent behavior
  • Iterative improvement using feedback loops
  • Real-world use cases:
  • Finance automation (analysis, reporting, reconciliation)
  • HR workflows (resume screening, interview assistance)
  • Content creation and research automation

This module explores how multiple agents collaborate to solve complex problems and how such systems are deployed in production.

Key Topics

  • Designing multi-agent workflows:
  • Task decomposition
  • Role-based agents
  • Sequential and parallel execution
  • Framework deep dive:
  • CrewAI: Agent roles, tasks, and coordination
  • AutoGen: Conversational agents and agent-to-agent communication
  • Deployment strategies:
  • Cloud and on-prem deployment considerations
  • Scaling and performance optimization
  • Observability and monitoring:
  • Logs, traces, and metrics
  • Governance and ethics:
  • Responsible AI
  • Data privacy and compliance
  • Guardrails
  • Safety constraints, policy enforcement, and hallucination control
  • LangGraph
  • Graph-based agent workflows
  • State management and branching logic
  • No-Code / Low-Code Agent Builders
  • n8n and Make.com for orchestration
  • ChatGPT Agents for rapid prototyping

A hands-on, end-to-end project focused on designing a production-grade agentic system.

Key Topics

  • Problem definition and requirement analysis
  • Tool identification and integration strategy
  • Designing memory architecture
  • Prototyping a multi-agent system using:
  • LangChain
  • CrewAI
  • AutoGen
  • Evaluation, iteration, and optimization
  • Strategic pitch:
  • Business use case
  • ROI analysis
  • Ethical considerations
  • Deployment roadmap

This module bridges industry practice with cutting-edge academic research.

Key Topics

  • Implementing research ideas into working prototypes
  • Translating research insights into production-ready designs
  • Understanding future trends in agentic AI
View More
Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.
Tools You Will Master
SQL
Langchain
docker
Pinecone
autogen
Make 1
n8n 1
Arize Phoenix
Langfuse
Poetry
Pydantic
python
weaviate
DSPy
crewai
langgraph
25+ Skills Covered under this Agentic AI Systems Course

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

View 9 more Skills

Agentic AI Systems and Design Projects

Meet the Agentic AI Systems and Design Training Mentors

Why Intellipaat's Agentic AI Systems and Design Course is right for your career growth?

Parameter
Intellipaat
Others
Live Online Classes by Top Industry Experts
Industry Oriented Curriculum
Multiple Case Studies & Project Work
Career Services
Affordable Course Fees
24*7 Support
Industry Recognized Certification

Batch Profile

This certification program caters to working professionals across industries. The learner diversity adds richness to class discussions and interactions.

By Industry

Information Technology and Services 40%
Consulting 18%
Telecom 15%
BFSI 12%
Others 10%
Healthcare 5%

By Work Experience

12+ Years 20%
9-12 Years 23%
6-9 Years 22%
3-6 Years 20%
0-3 Years 15%

Reviews

4.8 (507)
Neeraj Jain

Neeraj Jain

Machine Learning Engineer at Digivate Labs

With Intellipaat’s guidance, I’ve not only gained valuable skills but also secured an exciting role in this rapidly evolving field. If you’re ready to take your career to new heights, Intellipaat is the right place to go!Read More

Sk Saidul Islam

Sk Saidul Islam

Technology Analyst at Infosys

With Intellipaat, I gained valuable skills and got promoted at Infosys! with a comprehensive curriculum led by MNIT faculty. Hands-on projects ensured practical mastery. If you aim to level up in AI and ML, Intellipaat is the way to go!Read More

Karuniya Premnath

Karuniya Premnath

Intern at gnani.ai

I completed the course offered by Intellipaat, which had equipped me with knowledge in AI and ML. Now as an intern at Gnani.ai, I get the chance to implement concepts learned in real AI projects under industry experts.

MUHAMMED MUSTHAFA V C

Muhammed Musthafa V C

Generative AI Data Scientist at Infosys

Curious about AI, I joined Intellipaat and completed projects like an ‘AI Chatbot’ for customer support. Now, I apply these skills to real-world projects, including predictive maintenance and customer segmentation.

Karthik Ramamoorthy

Karthik Ramamoorthy

Manager at Standard Chartered Bank

This Intellipaat course transformed my journey from consultant to AI leadership. With an automation background, I was keen to apply AI/ML, and this course paved the way for success, enabling me to thrive with expert guidance.Read More

Amit Chakraborty

Amit Chakraborty

Director-Integration and Automation at CLOUDSUFI

Completed the Data Science & Artificial Intelligence – IITM Pravartak program from Intellipaat! Expert mentors, hands-on projects, and real-world case studies boosted my skills in ML, analytics, and data handling.

Admission Process

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.

STEP 1
Submit Application
Speak to the course advisor and mention your career goals & interest for this Agentic AI Course Training
STEP 2
Application Review
Our team will review your application based on your interest and experience
STEP 3
Admission
Shortlisted candidates can confirm their seats by paying the course fees
Who should apply for this Agentic AI Systems and Design Course Training?
To ensure we are able to give you the best possible outcome from this program, we check for the following things:
  • A completed bachelor’s degree with a minimum of 50% marks
  • Basic proficiency in listening and reading English
  • Anyone with keen interest in learning Agentic AI Systems and Design

Program Fee & Financing

Total Fee
₹50,046
(Inclusive of taxes)
We partnered with financing companies to provide very competitive finance options at 0% interest rate
dk-fee-emi-logo
Admission Closes On:
17th March 2026
Apply Now

Program Cohorts

Agentic AI Systems and Design Course Fees
Weekend (Sat-Sun)

14 Mar 2026 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

17 Mar 2026 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

21 Mar 2026 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

28 Mar 2026 08:00 PM - 11:00 PM
50,046 10% OFF Expires in

*IST (GMT +5:30)

Agentic AI Systems and Design FAQs

General

How is this "Agentic AI" course different from a standard Generative AI or LLM course?

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.

View More