AI Agent Architecture Classes in Pune

Name: AI Agent Architecture Course
Brand: Infibee Technologies
Rating: 5 (20446 reviews)

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25 hrs of E-Learning Videos

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AI Agent Architecture Course Overview

Why People Choose Infibee ?

Join in a group of three or more on same course we will be delighted to offer you a group discount upto 30%.

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Upcoming AI Agent Architecture Batches

21-09-2026

Mon-FriWeekdays Regular

08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session

16-09-2026

Mon - FriWeekdays Regular

06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session

18-09-2026

Sat-SunWeekend Batch

09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session

Can't find a batch? Pick your own schedule

AI Agent Architecture Course Syllabus

This course is about AI agent architecture and you’ll build agent systems that can act on their own and grow as needs change, using current LLM tools. That includes how an agent reasons, makes plans, and uses memory and you’ll also work with tools and RAG. We look at multi agent orchestration, LangGraph and MCP. You will build things in hands on projects. By the end, you should be able to put together AI agent setups that are ready for real use in real projects.

Introduction to AI Agents and Agentic AI
AI Agent vs. LLM Application vs. Workflow
Core components of an AI Agent
Agent perception, reasoning, planning and action
Foundation models and model selection
Agent design principles and architecture patterns

ReAct and reasoning-based agent patterns
Planning and task decomposition
Reflection and self-correction
Short-term and long-term memory
Context management and context engineering
State management and persistent agents

Tool-enabled AI agents
Function calling and structured outputs
API and database integration
Web search, file and code-execution tools
Tool selection and routing
Error handling and tool-use safety

Sequential and parallel workflows
Routing and conditional execution
Orchestrator-worker architecture
Evaluator-optimizer pattern
Human-in-the-loop architecture
Event-driven and asynchronous agents

LangGraph architecture and state
Nodes, edges and conditional routing
Cyclic and stateful agent workflows
Supervisor and sub-agent architectures
Checkpointing and persistence
Building production-oriented agent workflows

RAG architecture fundamentals
Embeddings and vector databases
Hybrid search and reranking
Agentic retrieval and query planning
Knowledge and memory architecture
Multi-agent RAG systems

Model Context Protocol (MCP)
MCP clients, servers, tools and resources
Connecting agents to enterprise data and tools
MCP-based tool discovery and execution
Authentication, authorization and security
Designing reusable MCP-based agent architectures

Multi-agent system design
Agent roles and specialization
Agent-to-Agent (A2A) communication
Agent discovery and task delegation
Sequential and hierarchical multi-agent workflows
MCP vs. A2A and interoperability

Agent evaluation and benchmarking
LLM-as-a-Judge
Tracing and observability
Agent reliability and failure recovery
Prompt injection and tool-security risks
Guardrails, access control and responsible AI

Scalable agent architecture
FastAPI, Docker and cloud deployment
Cost and latency optimization
Monitoring and logging
Security and governance
Designing enterprise-ready AI agent systems
Capstone: End-to-end production AI Agent Architecture

Need customized curriculum?

Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AI Agent Architecture Projects

Enroll in our AI Agent Architecture classes, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practice

Intelligent Research Agent Architecture

Design an AI agent with planning, reasoning, memory, and tool integration.
Implement Agentic RAG with web search and vector database.
Build an automated research, analysis, and report-generation workflow.

Enterprise Multi-Agent Workflow System

Design a supervisor-based architecture with specialized AI agents.
Integrate APIs, databases, MCP tools, and human-in-the-loop approval.
Implement agent coordination, error handling, monitoring, and security.

Production-Ready AI Customer Support Agent

Build an AI support agent with knowledge retrieval, memory, and tool calling.
Implement RAG, escalation, human handoff, and automated ticket management.
Deploy with observability, evaluation, guardrails, and performance monitoring.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training

Customised training with customised curriculum to meet the requirements of your workforce
Diversified learning models Live online training, Self-paced videos, On-premises training, and Classroom training
Dedicated lab setup with software installation, evaluation reports of employees, and study material with video recoding
We have a diverse pool of skilled instructors from numerous industries, ensuring the best fit for your customised requirements
Track and measure the impact of training on individuals and teams with our evaluation performance report

"Leading Companies We've Served"

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Our Instructor

Name

Ms. Preetha

Experience

12+ Years

Specialized in

AI Agent Architecture, Agentic AI, LLMs, RAG, LangGraph, MCP, and AI Automation.

More Details

Preetha is an experienced AI professional with 12+ years of expertise in AI Agent Architecture and Agentic AI. She specializes in designing intelligent agent systems using LLMs, RAG, LangGraph, MCP, and multi-agent frameworks. Her training focuses on practical architecture, real-world projects, and building scalable, production-ready AI solutions.

AI Agent Architecture Course Objectives

Our Best AI Agent Architecture Training aims to empower participants with comprehensive skills and practical knowledge in this field. Objectives include mastering core concepts, applying skills through real-world projects, critical thinking, and tackling professional challenges. This enhances career development and contributes to industry advancement.

To provide learners with practical knowledge of designing intelligent and scalable AI agent architectures. Participants will learn to build real-world agentic AI solutions.

You will learn agent reasoning, planning, memory, tool integration, RAG, workflows, and multi-agent architectures. Modern frameworks such as LangGraph and MCP are also covered.

Basic Python and programming knowledge is recommended. The concepts are taught progressively with practical examples and hands-on exercises.

Yes. The training covers architecture design, scalability, security, evaluation, observability, and deployment. You will learn how to move AI agents from prototypes to production.

Yes, learners will work on practical projects involving research agents, enterprise workflows, and AI customer-support systems. These projects help develop industry-ready implementation skills.

You will be able to design, develop, evaluate, and deploy AI agent architectures using modern AI technologies. These skills prepare you for roles in Agentic AI, Generative AI, and AI engineering.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum

Get on-field knowledge and skills from our expert instructors.

Assessment

Upgrade your on-field skills with our assessments and track your progress in real time.

Hands-on Project

Our hands-on project help you gain experience in real-time working.

Certification Guidance

A global certificate always helps you stand out from the crowd.

Portfolio Building

Experts guide you to maximise your profile with current industry trends that employers expect.

Placment Cell

We promote your abilities and showcase your portfolio to employers.

AI Agent Architecture Career Opportunity

Our placement partners provide career opportunities in AI, Agentic AI, Generative AI, and AI Engineering. Learners receive industry-focused career support, interview preparation, and job assistance to help them apply their AI Agent Architecture skills to real-world roles and opportunities.

Annual Pay Scale

Employers

Annual Salary

Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

Resume Enhancement: Updating and enhancing your resume to effectively highlight your abilities, experience, and accomplishments.
Mock Interviews: Practice real-life interviews with feedback to fine-tune your responses, boost confidence, and reduce anxiety.
Industry Insights: Stay informed about industry trends, company culture, and expectations to excel in interviews.
Job Portal Updation: Update or create your profile in job portals with our guidance and listing of key words for your preferred designation.

Customized Preparation: Targeted preparation for specific job roles, ensuring you are well-prepared for role-specific questions.
Interview Strategies: Comprehensive coaching on interview techniques and communication skills to ace any interview.
Confidence Building: Boosting self-assurance and equipping you with the mindset needed to excel during interviews.
Online Presence: Optimizing your online presence, including LinkedIn profiles and social media, to align with your career goals.

      
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AI Agent Architecture Training FAQ's

Infibee AI Agent Architecture Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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