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AI Agent Architecture Training in Chennai

Rated 5 out of 5

Infibee Technologies offers India’s No.1 Industry focused AI Agent Architecture Training in Chennai with global certification and job placement assistance.

Jumpstart your career with our AI Agent Architecture Course in Chennai is guided by 10+ years of industry experienced expert, affordable fees, practice projects, resume building, interview preparation, placement training, and lifetime access to recorded live classes. Gain an understanding of AI agent architecture, LLMs, Generative AI, agent planning, memory, tooling, agent orchestration, RAG, APIs, multi-agent workflows, and application of AI.

Join our AI Agent Architecture Training Institute in Chennai and build the technical foundation needed to explore emerging opportunities in agentic AI, Generative AI, and AI application development.

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AI Agent Architecture Course Overview

AI Agent Architecture pertains to the design and structure of AI systems which are able to comprehend goals, reason about data, plan activities, make use of tools, keep context, and act. An effective architecture ensures integration of the components including Large Language Models (LLMs), memory, planning, tools, APIs, retrieval systems, and orchestrators required to build competent AI systems. The AI Agent Architecture course in Chennai offered by Infibee Technologies allows one to learn about the architecture-related concepts and technologies.

Purpose of the AI Agent Architecture Course in Chennai

The purpose of the AI Agent Architecture Classes in Chennai is to develop practical knowledge of designing AI agents and integrating their core components. Learners can explore agent design patterns, LLM integration, prompt engineering, planning, memory, tool calling, RAG, API integration, agent orchestration, evaluation, and deployment. Hands-on training is a great way to apply the architectural concepts to practice while building AI applications.

Importance of AI Agent Architecture Course in Chennai

Knowledge about the architecture of AI agents becomes increasingly important as organizations consider creating AI applications powered by LLMs and AI-based workflows. Good architectural knowledge will help learners understand how an AI application can work with information, tools, context, and perform multi-step activities. This can be helpful for those interested in pursuing careers related to Agentic AI, Generative AI, LLM-based application development, AI engineering, AI solutions architecture, and AI automation.

Course Topics Covered Applications Tools & Technologies
AI Agent Architecture Fundamentals Intelligent AI applications Python
Agent Design Patterns AI task automation Large Language Models
LLM Integration LLM-powered applications OpenAI APIs
Prompt Engineering Agent instruction and reasoning Prompt Engineering
Agent Planning Multi-step task execution LLM-based Planning
Agent Memory Context-aware AI systems Vector Databases
Tool & Function Calling External tool integration REST APIs, Function Calling
Retrieval-Augmented Generation (RAG) Enterprise knowledge assistants Embeddings, Vector Search
Agent Orchestration AI workflow automation LangGraph
Multi-Agent Architecture Collaborative AI workflows Agent Frameworks
Agent Evaluation AI application testing Evaluation Frameworks
Security & Guardrails Controlled AI applications AI Guardrail Tools
Deployment & Integration Production AI solutions Docker, Cloud Platforms
Practical Projects Real-world agentic-AI applications Git, Cloud AI Services

Why Choose Infibee Technologies for an AI Agent Architecture Course in Chennai?

Key Highlights

  • AI Agent Architecture-focused curriculum
  • Industry-oriented training
  • Practical programming skills
  • AI agent design
  • Agent architecture patterns
  • Large Language Models (LLMs)
  • Generative AI concepts
  • Prompt engineering
  • Agent planning
  • Agent memory
  • Tool and function calling
  • API integration
  • Retrieval-Augmented Generation (RAG)
  • Vector databases
  • Agent orchestration
  • Multi-agent workflows
  • AI application design
  • AI workflow automation
  • Hands-on exercises
  • Project-based learning
  • Real-world AI applications
  • Instructor-led sessions
  • Practical demonstrations
  • Doubt clarification
  • Recorded live-class sessions

AI Agent Architecture Training Institute in Chennai – Get Certified with Infibee Technologies

Infibee Technologies is one of the AI Agent Architecture Training in Chennai and provides industry-focused technology training for students and working professionals. The Course is intended to aid the learner in gaining insight into the design and deployment of contemporary AI agents. The course will further help the learner to get prepared for interviews and also provides career guidance on building practical knowledge in relation to Agentic AI, Generative AI, LLM application development, and AI Engineering.

The AI Agent Architecture Course in Chennai includes practical programming, practical use of AI, hands-on approach to learning, project-based training, and a curriculum that is industry-oriented. The learner may get involved with AI agent architecture, Large Language Models (LLMs), Generative AI, prompt engineering, agent planning, memory, tool and function calling, RAG, APIs, orchestration, multi-agent systems, evaluation, and AI application development.

Trainer Experience

Infibee Technologies provides training supported by industry-experienced professionals, with its training information highlighting 12+ years of industry experience.

Real-Time Project Exposure

Practical projects help learners understand real-world AI agent development through architecture design, tool integration, workflow orchestration, API connectivity, and deployment.

Certification / Company Background

Infibee Technologies is a Chennai-based technology training provider offering certification support for learners completing its technology-focused training programs.

Affordable Course Fees

The course offers affordable fee options designed to help students and professionals pursue structured AI Agent Architecture training within their learning requirements.

Teaching Methodology 

Instructor-led sessions include practical demonstrations, hands-on exercises, projects, doubt clarification, mock interviews, and interview preparation for applied learning.

Certification

Infibee Technologies provides course-completion certification to eligible learners after training, documenting their participation, learning, and practical exposure to AI Agent Architecture concepts, technologies, and applications.

Modes of AI Agent Architecture Training in Chennai

  • Classroom Training
  • Online Training
  • Corporate Training
  • Self-Placed Training

Global Certifications Available for AI Agent Architecture Training in Chennai

S.No. Certification Code Cost Certification Expiry
1 Microsoft AI-500 – Designing and Implementing Multi-Agent AI Solutions Approx. ₹15,800* 1 year
2 Microsoft AI-103 – Azure AI Apps and Agents Developer Associate Approx. ₹4,865* in India 1 year
3 Google Professional Agentic Architect – Beta Approx. ₹11,500* 1 year
4 Google Cloud Generative AI Leader Approx. ₹9,500* 3 years
5 AWS Machine Learning Engineer – Associate – MLA-C02 Approx. ₹7,200* beta 3 years

Who Can Join?

  • Computer Science and IT students
  • Engineering graduates
  • Software developers
  • Python developers
  • AI/ML engineers
  • Machine Learning professionals
  • Data scientists
  • Generative AI developers
  • LLM application developers
  • Cloud professionals
  • Backend developers
  • MLOps professionals
  • AI automation developers
  • Solution architects
  • Technology professionals transitioning into AI
  • Working professionals seeking Agentic AI skills
  • Entrepreneurs and technology enthusiasts

Career Opportunities in AI Agent Architecture

Job Role Typical Responsibilities
AI Agent Architect Design architectures for AI agents, tools, memory, models, and workflows
Agentic AI Engineer Develop AI agents capable of planning, reasoning, tool use, and task execution
AI Solutions Architect Design scalable architectures for AI and Generative AI applications
Multi-Agent Systems Engineer Design communication and orchestration between multiple AI agents
Generative AI Engineer Develop LLM-powered and Generative AI applications
LLM Application Developer Build applications using LLMs, APIs, RAG, and AI frameworks
AI/ML Engineer Develop, deploy, and maintain AI and machine-learning systems
RAG Engineer Build retrieval-augmented AI and enterprise knowledge applications
AI Platform Engineer Develop infrastructure and platforms for production AI systems
LLMOps / MLOps Engineer Deploy, monitor, evaluate, and maintain AI/ML applications
AI Integration Engineer Connect AI agents with APIs, databases, enterprise applications, and tools
AI Consultant Support organizations with AI architecture, implementation, and solution planning

Who’s Hiring Advanced AI Agent Architecture Professionals?

Organizations currently advertising roles involving Generative AI, Agentic AI, AI architecture, multi-agent systems, and LLM-based solutions include:

  • Cognizant – Current Chennai listings include Gen AI Architect and Chief Architect roles
  • Cognizant – Current Bangalore/Chennai roles include Senior Architect positions
  • Cognizant – Current Chennai/Hyderabad listings include Generative AI Architect positions
  • Accenture – AI and Agentic AI roles
  • HCLTech – AI engineering and architecture opportunities
  • Wipro – AI/ML and Generative AI roles

Can I Study AI Agent Architecture in Other Locations?

How to Register for the AI Agent Architecture Course in Chennai at Infibee Technologies?

Step 1 – Enquire About the Course

Contact Infibee Technologies to request the latest syllabus, fees, duration, batch schedule, and available training modes.

Step 2 – Attend a Demo or Counselling Session

If a demo is available, attend it to understand the curriculum, teaching methodology, projects, and learning structure.

Step 3 – Confirm Your Enrollment

Select an available batch and training mode, complete the registration process, and begin your AI Agent Architecture learning journey.

Enroll Today: Unlock Your AI Agent Architecture Training in Chennai Potential

Contact Infibee Technologies to explore the AI Agent Architecture course, check upcoming batches, attend a demo if available, and plan your AI learning journey.

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Why People Choose Infibee ?

Upcoming AI Agent Architecture Batches

[dateshortCodeCi day=' monday ' ]
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' wednesday ' ]
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' Friday ' ]
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?
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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
"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
Placement Designation
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.

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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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