AI Agent Architecture Course

Rated 5 out of 5

Infibee Technologies is India’s Industry oriented AI Agent Architecture Training with Global Certification and Job Placement Assistance.

Unlock your career with AI Agent Architecture Course is guided by 13+ years of Industry experienced experts with practical knowledge through hands-on projects, case studies and assignments. Our course offers affordable fees, Mock Projects, Resume building, Interview Preparation, Placement Support and permanent access to recorded live sessions.

Join our AI Agent Architecture Training Institute and build the skills you need to pursue exciting career opportunities and high-paying roles with top-tier companies.

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AI Agent Architecture Course Overview

Introduction of the AI Agent Architecture Course

Infibee’s AI Agent Architecture Course is a way to build software which enables systems to capture information, take decisions and take actions in a manner which is similar to the way humans and other intelligent beings do. AI Agent Architecture generally comprises of Large Language Models (LLM), Planning, Memory, Tool Integrations and Other APIs.

Purpose of AI Agent Architecture Training

At Infibee Technologies, we aim to educate our students about the various components and ways to build AI Agents and integrate them in different softwares and applications. Our students will also get an insight over the latest trends in agentic AI, Prompt Engineering, Agent workflows and other APIs, automation, RAG, and other multi agent systems.

Importance of the AI Agent Architecture Course

Organizations need to understand Architecture of AI Agents to create intelligent automation and support systems. The AI Agent Architecture Classes enables learners to acquire technical skills in architecture of AI Agents and create related artifacts. The course also allows learners to understand current trends and strategies in AI and related tools. The course helps professionals working in related fields to learn skills in architecting intelligent agents and systems.

Course Topics Covered Applications Tools & Technologies
Introduction to AI Agent Architecture Intelligent AI assistants Python, APIs, LLMs
Large Language Models (LLMs) Conversational applications OpenAI models, LLM platforms
Prompt Engineering AI content and task automation Prompting frameworks
AI Agent Design Patterns Task-oriented AI agents LangChain, LangGraph
Agent Workflows & Orchestration Business process automation LangGraph, workflow tools
Retrieval-Augmented Generation (RAG) Enterprise knowledge assistants Vector databases, embeddings
Memory & Context Management Personalized AI applications Databases, vector stores
Tool & API Integration Automated tool execution REST APIs, function calling
Multi-Agent Systems Collaborative AI workflows Multi-agent frameworks
AI Agent Evaluation & Monitoring AI application testing Evaluation and observability tools
Agent Deployment & Integration Production AI applications Cloud platforms, Docker
Real-World AI Agent Projects Enterprise and business use cases Python, APIs, databases, AI frameworks

Why Choose Infibee Technologies for an AI Agent Architecture Course?

  • AI Agent Architecture-focused training
  • Industry-experienced trainers
  • Practical, project-oriented learning
  • Hands-on mock projects
  • AI agent development concepts and workflows
  • LLM and generative AI fundamentals
  • Prompt engineering training
  • RAG and vector database concepts
  • AI agent tools and framework exposure
  • API and tool integration concepts
  • Resume preparation support
  • Interview preparation
  • Placement-oriented training

Best AI Agent Architecture Training – Get Certified with Infibee Technologies

Infibee Technologies is a AI Agent Architecture Course Institute in Chennai, India that offers AI related courses and workshops. Other courses include IT service management, enterprise application integration and private banking. The website includes case studies and sample projects. Services include assistance in resume and cover letter preparation, practice job interviews and placement assistance.

The trainers use project approach to teach students how to create practical systems that integrate different tools, use large language models, and design agent architectures. As part of the project approach to learning, the students create artifacts that illustrate their understanding of the architectures and systems related to AI.

Infibee trainers understand the need to integrate real world systems and architectures with AI and enable students to develop programming skills in the process. Through the projects and systems integration exercises, students are prepared to integrate AI in practical applications, and create systems architectures. The instructors enhance students’ employment prospects by incorporating career counseling and job interview coaching in the trainings.

Trainer Experience

Infibee Technologies prefers industry-centered AI Agent Architecture Course. Specific trainer experience should be verified with them prior to stating trainers with 12+ years of experience.

Real World Experience

Through various practical projects, the learner acquires the knowledge on using AI agents and integration with various tools and APIs and learns to address/solve developmental issues in the process.

Certification/ Company Background

Infibee Technologies Limited is based company which offers a range of training and certification courses in diverse verticals of Information Technology.

Affordable Course Fees

Infibee understands the importance of learning AI and offers its training courses at reasonable fees.

Teaching Methodology

The AI Agent Architecture Classes is a combination of lectures, demo sessions, workshops, projects, interviews, and clarification of queries.

Certification

Upon completion of the AI Agent Architecture Course offered by Infibee, the participants are awarded a course completion certificate. The participants are advised to review the certificate process and validity prior to enrollment.

Modes of AI Agent Architecture Training

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

Global AI Agent Architecture Certifications Available – Costs in INR

S. No. Certification Code Cost (Approx. INR) Certification Expiry
1 NVIDIA NCP-AAI ₹19,160 ($200) 2 years
2 NVIDIA NCP-GENL ₹19,160 ($200) 2 years
3 NVIDIA NCA-GENL ₹11,975 ($125) 2 years
4 Microsoft AI-103 ₹15,807 ($165) 1 year*
5 Microsoft GH-600 ₹15,807 ($165) Microsoft credential renewal policy*
6 Microsoft AB-620 ₹15,807 ($165) Microsoft credential renewal policy*

Who Can Join?

The AI Agent Architecture Course can be suitable for learners with different technical backgrounds, depending on the depth of training they want to pursue:

  • Fresh graduates interested in AI and software development
  • Computer science and IT students
  • Software developers moving into generative AI and agentic AI
  • Python developers interested in LLM and AI-agent applications
  • Data scientists and ML engineers
  • AI/ML professionals expanding into agentic systems
  • Cloud and DevOps professionals working with AI deployments
  • Solutions architects exploring AI-agent architectures
  • Full-stack developers building AI-powered applications
  • Technical professionals looking to transition toward AI engineering
  • Working professionals seeking practical AI skills
  • Entrepreneurs and technical founders exploring AI automation and intelligent applications

Basic programming knowledge, particularly Python, can be helpful for learners pursuing the development-oriented aspects of the course.

Career Opportunities in AI Agent Architecture

Job Role Typical Focus
AI Agent Engineer Designing and developing AI agents and agent workflows
Agentic AI Developer Building LLM-powered autonomous and semi-autonomous applications
Generative AI Engineer Developing applications using LLMs, RAG, prompting, and AI services
AI/ML Engineer Developing and deploying machine-learning and AI solutions
LLM Application Developer Building applications around large language models
AI Solutions Architect Designing enterprise AI and agent architectures
Machine Learning Engineer Building, evaluating, and deploying ML systems
AI Platform Engineer Developing infrastructure and platforms for AI applications
RAG Engineer Building retrieval-augmented generation systems and knowledge pipelines
Multi-Agent Systems Developer Designing systems in which multiple AI agents collaborate
AI Application Developer Integrating AI capabilities into business and software applications
AI Evaluation Engineer Testing, benchmarking, monitoring, and improving AI/agent performance

Who’s Hiring Advanced AI Agent Architecture Professionals?

Organizations actively working with agentic AI, enterprise AI, and related technologies include:

  1. Microsoft — Current India career listings include work involving Copilot, search, AI experiences, and agentic-AI products.
  2. Infosys — Current listings include Agentic AI Engineer positions involving LLMs, agentic frameworks, APIs, RAG, and multi-agent systems.
  3. IBM — IBM maintains dedicated AI and watsonx career opportunities, including AI Engineer and related AI roles.
  4. Sysvine Technologies — A current Chennai listing covers Software Engineer – Agentic AI, including LLMs, RAG, agent orchestration, APIs, and AI applications.
  5. Anthropic — Anthropic is working with Infosys on enterprise AI agents for telecommunications and other regulated industries, demonstrating active enterprise-agent development.
  6. Salesforce — Salesforce is expanding its Agentforce platform and announced enterprise AI-agent initiatives in 2026.

Job openings change frequently, so candidates should verify current vacancies and eligibility directly through each organization’s careers portal.

Can I Study AI Agent Architecture in Other Locations?

For learners searching online for “AI Agent Architecture Training near me,” checking the current classroom locations and online batch schedules with Infibee Technologies can help identify the available option.

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

Step 1 – Contact Infibee Technologies

Reach out to the institute and request the latest AI Agent Architecture course details, schedule, fees, and available training mode.

Step 2 – Attend a Demo or Counselling Session

If a demo session is currently available, attend it to understand the curriculum, teaching approach, projects, and learning requirements.

Step 3 – Complete Enrollment

Select the appropriate training mode and batch, complete the registration process, and begin the AI Agent Architecture training.

Enroll Today: Unlock Your AI Agent Architecture Training Potential

Interested learners can contact Infibee Technologies to explore the AI Agent Architecture course, discuss available batches, attend a demo if offered, and understand the training options before enrolling. Build practical AI skills, work on relevant projects, and prepare yourself for evolving opportunities in the AI industry.

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Why People Choose Infibee ?

Upcoming AI Agent Architecture Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-09-2026
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?
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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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