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Advanced AI Agent Development Course

Rated 5 out of 5

Infibee Technologies offers India’s leading Advanced AI Agent Development Training with Global Certification and Placement Guidance.

Advance your career with our Advanced AI Agent Development Course is guided by 13+ years of Industry Experienced experts with practical knowledge through hands-on projects, case studies and assignments. Get Affordable Fees, Real Time Mock Projects, Resume Building, Interview Practice, Placement Training, and permanent Access to All Live Class Recordings. Our training will help you learn AI agent development and help you understand the tools and AI based interactive systems.

Join our Advanced AI Agent Development Training Institute to learn everything about AI automation and skills to design and develop cutting edge applications.

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Advanced AI Agent Development Course Overview

Introduction to Advanced AI Agent Development

Advanced AI Agent Development Course helps users understand how to design and develop AI programs that learn how to take context, coordinate goals, perform planning, research, and accomplish multiple steps with a minimum level of human control. As compared to ChatGPT, AI Agents have the ability to conduct multiple steps. As advanced AI agents are flexible, they can integrate with multiple APIs and software, connect with other AI Agents and manage multiple external systems. Infibee Technologies provide training to participants on agent tool calling, external memory, RAG, interface design, orchestration, and deployment.

Purpose of Advanced AI Agent Development Course

The purpose of the training is to provide participants the knowledge and understanding of practical application of AI agent development for various domains. Participants will also learn to build AI agents and develop a fundamental understanding of development of programming frameworks, workflows, and applications.

Importance of Advanced AI Agent Development Course

Learning advanced agent development will give participants the ability to build AI systems such as customer support agents, research assistants, data analysis systems, software development assistants, process automation, and enterprise applications.

Course Topics Covered Applications Tools & Technologies
AI agents, LLMs, prompt engineering, agent architecture, reasoning and planning Intelligent assistants, task automation Python, LLM APIs
Tool calling, APIs, memory, state and context engineering Workflow automation, API-enabled agents LangChain, APIs
RAG, embeddings, vector databases and semantic search Knowledge assistants, research systems Vector databases, RAG
Multi-agent systems, orchestration and task delegation Research, software development, business workflows LangGraph, CrewAI
MCP, A2A and agent interoperability Tool-enabled and interconnected agents MCP, A2A
Evaluation, observability, security and deployment Production AI systems Docker, FastAPI, monitoring and tracing

Why Choose Infibee Technologies for an Advanced AI Agent Development Course?

  • Industry-oriented AI curriculum
  • AI Agent and Agentic AI training
  • Hands-on project-based learning
  • Real-world AI use cases
  • Training for students and working professionals
  • Flexible learning options
  • Live online classes
  • Self-paced learning resources
  • One-on-one doubt clearing
  • Career guidance
  • Interview preparation
  • Resume and portfolio support
  • Certification guidance
  • Practical RAG and multi-agent projects
  • LangChain and LangGraph exposure

Best Advanced AI Agent Development Training Institute – Infibee Technologies

Infibee Technologies is a technology-focused skill development center for students, fresh graduates, and working professionals in Chennai. Their Advanced AI Agent Development profile offers practical training in IT, experiential trainers, real-time projects, and career support. Infibee also includes Artificial Intelligence in its training profile.

For Advanced AI Agent Development Course, industry-linked training helps learners move beyond theory and learn about AI agent development, programming with RAG and LLMs, and common tools and frameworks. Infibee also offers RAG and AI integration to custom develop practical applications.

The Advanced AI Agent Development Classes focuses on building real-world AI programming skills and using AI applications to build practical solutions for industry problems through real-time projects. Infibee also offers career-related services as part of its training programs including practice interviews and career guidance.

Trainer Experience

Infibee Technologies claims to employ only experienced trainers and provides details of AI/RAG trainers having more than 10 years of work experience.

Real-Time Project Exposure

Practical projects allow learners to build and deploy applications using RAG framework and AI agents.

Certification/Company Background

Infibee Technologies provides certifications and training background to its clients for its programs and charges varied fees for each training program.

Affordable Course Fees

Infibee calls its course fees as affordable and flexible and invites Advanced AI Agent Development learners to contact them for the current pricing.

Teaching Methodology

The methodology includes instructor-led sessions, practical demonstrations, hands-on exercises, and projects. It also includes doubt clarification sessions, practice interviews, and interview preparation.

Certification

As part of its training offerings, Infibee helps learners to obtain certification of their skills. However, the details pertaining to certification of AI Agent course should be checked with the concerned authority to confirm eligibility and other relevant details.

Modes of Advanced AI Agent Development Training

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

Infibee’s published training pages identify classroom, live online, self-paced, and corporate/on-premises formats among its available learning models.

What Are the Global Certifications Available for Advanced AI Agent Development Training?

S. No. Certification Code Cost Certification Expiry
1 NCP-AAI – NVIDIA Certified Professional: Agentic AI Approx. ₹19,204 (US$200) 2 years
2 NCP-GENL – NVIDIA Certified Professional: Generative AI LLMs Approx. ₹19,204 (US$200) 2 years
3 NCA-GENL – NVIDIA Certified Associate: Generative AI LLMs Approx. ₹12,006 (US$125) 2 years
4 DCA-GENAI – Databricks Certified Generative AI Engineer Associate Approx. ₹19,204 (US$200) 2 years
5 Professional ML Engineer – Google Cloud Approx. ₹19,204 (US$200) + applicable tax Renewal required; validity is subject to Google Cloud’s current renewal policy
6 AWS Certified Generative AI Developer – Professional Approx. ₹28,806 (US$300) AWS certification validity applies; verify current certification status/renewal requirements

Who Can Join?

The Advanced AI Agent Development Course can be suitable for:

  • Python Developers interested in AI-agent development
  • Software Developers moving into Generative AI
  • Machine Learning Engineers
  • Data Scientists
  • AI/ML Professionals expanding into agentic systems
  • Backend Developers working with APIs and AI services
  • Cloud Engineers interested in AI application deployment
  • Generative AI Developers
  • Automation Engineers transitioning toward AI-driven automation
  • Final-year Computer Science / IT Students
  • Fresh Graduates with programming fundamentals
  • Working Professionals seeking AI upskilling
  • Technology Entrepreneurs exploring AI-powered products

Career Opportunities in Advanced AI Agent Development

Job Role Typical Responsibilities
AI Agent Developer Build, integrate, test, and deploy intelligent AI agents
Agentic AI Engineer Develop autonomous and multi-agent workflows using LLMs and orchestration frameworks
Generative AI Engineer Build LLM-powered applications, RAG systems, and AI workflows
LLM Application Engineer Integrate foundation models into production software applications
AI Automation Engineer Develop AI-driven workflow and business-process automation
AI Solutions Architect Design scalable enterprise AI and agent-based architectures
AI/ML Engineer Develop, evaluate, deploy, and maintain AI/ML systems
RAG Engineer Build retrieval, embedding, vector-search, and Agentic RAG pipelines
Multi-Agent Systems Engineer Design agent coordination, delegation, communication, and orchestration
AI Product Engineer Convert business requirements into AI-powered products and features
AI Platform Engineer Develop infrastructure, APIs, deployment, monitoring, and governance for AI applications

Who’s Hiring Advanced AI Agent Development Professionals?

Companies with current or recent India-based roles involving agentic AI, generative AI, AI platforms, or AI-agent products include:

  1. Amazon / AWS — AI agents, Generative AI and cloud AI applications
  2. Salesforce — Agentforce, AI architecture and agent-related roles in India
  3. Paytm — Inference and Agentic AI teams and products in Noida
  4. Sysvine Technologies — Software Engineer–Agentic AI role
  5. Resilinc — Engineering and professional-services roles supporting agentic-AI products
  6. Cyara — Agentic AI product role in India

Hiring requirements vary considerably by employer and position, so completing a course or certification does not by itself establish eligibility for a particular job.

Can I Study Advanced AI Agent Development in Other Locations?

If you search for “Advanced AI Agent Development Training near me,” check Infibee’s latest batch schedule to determine whether classroom training is available in your location or whether an online option is currently offered.

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

Step 1: Contact Infibee Technologies

Visit the Infibee website or reach out to the training team. Inquire about the Advanced AI Agent Development course, the syllabus, the training fee, timings, training modes that are offered, etc.

Step 2: Attend a Demo / Discuss Your Requirements

If a demo is being offered at that time, you are encouraged to attend the demo. You may also be required to discuss your programming background along with your expectations and goals to be achieved through the course, and your projected time availability along with other personal commitments you may have, and possibly your goals to be achieved with your certification.

Step 3: Select Your Batch and Enroll

There are several options you may choose from based upon availability and may include classroom, online, corporate, and self-paced learning. Infibee offers a free demo and self-paced learning courses. Reach out to Infibee Technologies for further information.

Enroll Today: Unlock Your Advanced AI Agent Development Training Potential

Interested learners can contact Infibee Technologies to discuss the Advanced AI Agent Development Classes, attend a demo if available, review the curriculum, and choose a suitable training format and schedule.

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Upcoming Advanced AI Agent Development Batches

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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

Advanced AI Agent Development Course Syllabus

Master advanced Retrieval-Augmented Generation techniques for building accurate, scalable, and production-ready AI applications.
Learn advanced retrieval, reranking, hybrid search, query optimization, agents, evaluation, and enterprise RAG architectures.
Build real-world RAG systems using modern LLMs, vector databases, observability, security, and deployment practices.

  • Advanced RAG concepts and production architecture
  • RAG pipelines: ingestion, retrieval, generation, and response
  • Parametric vs. non-parametric knowledge
  • RAG failure modes and architectural trade-offs
  • Designing scalable enterprise RAG systems
  • Complex document ingestion and parsing
  • Tables, images, PDFs, web pages, and structured data
  • Semantic chunking and context-aware chunking
  • Metadata extraction and enrichment
  • Document deduplication and preprocessing pipelines
  • Embedding models and semantic representations
  • Dense, sparse, and multi-vector embeddings
  • Vector indexing and similarity search
  • Metadata filtering and hybrid retrieval
  • Choosing and optimizing vector database architectures
  • Query rewriting and query expansion
  • Multi-query and decomposition strategies
  • HyDE and hypothetical document retrieval
  • Self-query and metadata-aware retrieval
  • Contextual retrieval optimization
  • Cross-encoder and LLM-based reranking
  • Hybrid search with keyword and semantic retrieval
  • Reciprocal Rank Fusion and result merging
  • Parent-child and hierarchical retrieval
  • Diversity-aware and context-aware retrieval
  • Context selection and compression
  • Prompt engineering for grounded generation
  • Long-context management
  • Citation and source attribution
  • Reducing hallucinations and improving answer reliability
  • Agentic retrieval architectures
  • Tool calling and dynamic information retrieval
  • Query planning and task decomposition
  • Multi-step research workflows
  • Combining RAG with AI agents and external tools
  • Text, image, table, and document-based RAG
  • Multimodal embeddings and retrieval
  • Enterprise knowledge bases
  • Access-controlled and permission-aware retrieval
  • Connecting RAG with APIs, databases, and business systems
  • Retrieval and generation evaluation
  • Faithfulness, relevance, precision, and recall
  • RAG evaluation datasets and automated testing
  • Prompt injection and data leakage protection
  • Tracing, monitoring, logging, and production observability
  • RAG performance and latency optimization
  • Caching, batching, and cost optimization
  • Scaling vector search and inference
  • Deployment with APIs and cloud infrastructure
  • Building and presenting a production-ready RAG solution
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Advanced AI Agent Development Projects

Attend our Advanced AI Agent Development Training, designed to offer top-notch training with a solid understanding of core concepts and hands-on experience. Our course emphasizes practical learning, providing participants with exposure to real-world industry scenarios and use cases. By enrolling in our program, you’ll strengthen your skills and acquire the expertise needed to execute Advanced AI Agent Development  projects effectively, following industry best practices.

Enterprise Knowledge Base RAG System

  • Build a RAG application over large enterprise documents.
  • Implement semantic, keyword, and hybrid retrieval.
  • Add reranking, citations, metadata filtering, and access controls.
  • Evaluate retrieval quality and answer faithfulness.

Agentic Research Assistant

  • Develop an AI agent capable of multi-step information retrieval.
  • Implement query planning, query rewriting, and tool calling.
  • Combine web/API data with an internal RAG knowledge base.
  • Add source attribution, evaluation, and monitoring.

Multimodal Advanced RAG Platform

  • Build a RAG system supporting text, PDFs, tables, and images.
  • Implement multimodal ingestion, embeddings, and retrieval.
  • Optimize context selection and generation for complex queries.
  • Deploy the application as a scalable production API.

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
Mr. Raghavan
Experience
14+ Years
Specialized in
Specialized in Advanced RAG, LLM Applications, Vector Databases, Hybrid Search, AI Agents, Embeddings, Reranking, Multimodal AI, and Production Generative AI Systems.
More Details
The instructor provides hands-on expertise in designing and developing advanced RAG and LLM-powered applications. Training focuses on real-world architectures, practical implementation, evaluation, optimization, security, and deployment.

Advanced AI Agent Development Training Objectives

The goal of the Advanced AI Agent Development Training is to give participants extensive knowledge and abilities in the areas of data warehousing and business intelligence. Our objectives focus on mastering core concepts, applying skills through real-world projects, fostering critical thinking, and preparing for professional challenges in the industry.

Basic Python, APIs, machine learning concepts, and LLM fundamentals are useful prerequisites. Understanding embeddings, vector databases, prompting, and basic RAG will make advanced topics easier. The training can then progress into advanced retrieval and production architectures.

Basic RAG commonly uses a straightforward retrieve-then-generate workflow. Advanced RAG adds query rewriting, hybrid retrieval, reranking, contextual compression, agents, and evaluation. These techniques help address complex queries and improve production reliability.

Hybrid search, query expansion, semantic chunking, metadata filtering, and reranking can improve retrieval quality. Different strategies can be combined depending on the data and application requirements. Evaluation datasets should be used to measure whether retrieval improvements actually help.

Yes, RAG can provide agents with access to private knowledge and dynamically retrieved information. Agents can plan queries, call tools, search multiple sources, and perform multi-step workflows. This enables RAG systems to handle more complex research and business tasks.

Yes, enterprise RAG can connect LLMs with internal documents, databases, APIs, and knowledge systems. Production implementations commonly require security, permissions, monitoring, evaluation, and cost controls. These capabilities help organizations build more reliable AI applications around proprietary data.

Use high-quality retrieval, reranking, context filtering, and grounded prompting to provide relevant evidence to the LLM. Add source citations, confidence checks, and evaluation workflows to identify unsupported responses. Continuous retrieval and generation evaluation can help improve accuracy and reliability in production.

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.

Advanced AI Agent Development Career Opportunity

Advanced AI Agent Development  is a widely used business intelligence and data warehousing solution, known for its adaptability and compatibility across various platforms and devices. It is highly sought after in the AI industry and offers lucrative career opportunities, with certified Advanced AI Agent Development professionals earning an average salary of 10 LPA per year.

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.

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Advanced AI Agent Development Training FAQ's

Infibee Advanced AI Agent Development 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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