Your cart is currently empty.
Read More
The Era of “Prompt Engineering” is ending. The Era of “Agent Engineering” has begun. Companies are no longer looking for people who can just “chat” with ChatGPT. They need engineers who can build systems that work autonomously.
Talk To Us
We are happy to help you 24/7
55% Average Salary Hike
45 LPA The Highest Salary
12000+ Career Transitions
500+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Designs the foundational cognitive frameworks and blueprints that empower AI systems to reason, plan, and execute complex objectives autonomously.
Constructs and integrates the operational pipelines that connect autonomous agents with external APIs and tools to execute multi-step processes.
Optimizes and fine-tunes the core language models that drive the reasoning and decision-making engines of agentic systems.
Transforms advanced agentic capabilities into intuitive, scalable, and user-facing applications designed to solve real-world business challenges.
Strategizes the enterprise-wide deployment and orchestration of autonomous systems to scale operations and maximize systemic efficiency.
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
EMI Starts at
₹5,000
We partnered with financing companies to provide very competitive finance options at 0% interest rate
Financing Partners
Contact Us
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 and Design Projects
MasterAgentic AI Skills and Earn Your Industry Certificate
Land Your Dream Job Like Our Alumni
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, Intellipaat & Microsoft certificate is globally recognized . 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 virtual live classes 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.
You will be proficient in the industry standard for creating AI agents, which includes Crew AI and Auto Gen for multi-agent orchestration, Lang Graph for stateful workflows, DSPy for prompt optimization, and Vector Databases like Pinecone and Weaviate for memory. Lang Fuse for observability and n8n for low-code automation are also part of the technology stack.
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.
Some of the emerging and high-demand job roles you can aim for after completing the course are AI Agent Architect, AI Systems Engineer, Agentic Workflow Developer, Machine Learning Engineer (LLM Focus), and AI Product Developer.
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 500+ 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.
Click to Zoom