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RAG with LlamaIndex Course

Rated 5 out of 5
  • 24872
  • Intermediate

Infibee Technologies offers RAG with LlamaIndex Training with industry-focused learning and placement guidance.

Kickstart your career with our RAG with LlamaIndex Course, is guided by 12+ years of Industry experienced experts with practical knowledge through case studies, hands-on projects and assignments. Our Course includes affordable fees, mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded sessions of live classes.

Join our RAG with LlamaIndex Training Institute and build practical skills to explore career opportunities in Generative AI, RAG, and LLM application development.

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RAG with LlamaIndex Course Overview

Infibee’s Retrieval-Augmented Generation (RAG) using LlamaIndex is one way of developing LLM applications using external, private, or domain-specific data. LlamaIndex allows you to ingest data from various sources, including PDFs, APIs, documents, databases, structure the data, generate indexes, retrieve context, and feed that context to the LLM model to generate answers.

The RAG with LlamaIndex Course at Infibee Technologies is intended to help learners understand the complete RAG application workflow. Training can cover data ingestion, document processing, chunking, embeddings, indexing, vector stores, retrieval, query engines, response synthesis, prompt design, and evaluation. Learners can also explore how LlamaIndex can be used to create chat applications, question-answering systems, document assistants, and agentic applications.

The importance of learning RAG with LlamaIndex Classes comes from the need to build AI applications that can work with information beyond an LLM’s original training data. RAG allows relevant information to be retrieved at query time and provided as context to the model, making the approach useful for domain-specific knowledge applications. LlamaIndex also supports query engines, chat engines, agents, workflows, data connectors, and evaluation capabilities, giving learners exposure to different components used in modern LLM application development.

Course Topics Covered Applications Tools & Technologies
Introduction to Generative AI, LLMs and RAG AI knowledge assistants Python, LlamaIndex, LLM APIs
LlamaIndex Architecture and Core Concepts Enterprise knowledge applications LlamaIndex
Data Ingestion and Document Loading Document question answering Data Connectors, Document Loaders
Document Parsing and Text Processing PDF and document assistants LlamaIndex, LlamaParse
Chunking, Nodes and Metadata Semantic document search Nodes, Metadata
Embeddings and Vector Indexing Knowledge-base search Embedding Models, Vector Stores
Indexing and Retrieval Context-aware AI applications VectorStoreIndex, Retrievers
Query Engines and Response Synthesis Question-answering applications QueryEngine, Response Synthesizers
Chat Engines Conversational AI over private data LlamaIndex Chat Engines
RAG Query Strategies Multi-document research applications Retrievers, Query Pipelines
Reranking and Postprocessing Improved retrieval relevance Node Postprocessors, Rerankers
Structured Data and SQL Retrieval Natural-language database querying LlamaIndex, SQL Databases
Agentic RAG and Workflows Research and task-oriented AI agents LlamaIndex Agents, Workflows
RAG Evaluation and Optimization RAG quality assessment Evaluation Tools, LLMs
RAG Application Development and Deployment Production-oriented AI applications Python, APIs, Cloud Platforms

Why Choose Infibee Technologies for an RAG with LlamaIndex Course?

  • RAG with LlamaIndex-focused training
  • Industry-oriented Generative AI curriculum
  • Practical programming and implementation
  • Hands-on RAG application development
  • LlamaIndex framework training
  • LLM and Generative AI concepts
  • Data ingestion and document processing
  • Embeddings and vector indexing
  • Retrieval and query-engine concepts
  • RAG chatbot and knowledge-assistant projects
  • Agentic AI and workflow concepts
  • Project-based learning
  • Practical demonstrations and exercises
  • Learning resources for continued practice
  • Training suitable for students and working professionals
  • Exposure to practical LLM application development
  • Guidance on building RAG-focused portfolio projects

RAG with LlamaIndex Training Institute – Get Certified with Infibee Technologies

Infibee Technologies is a one of the best RAG with LlamaIndex Training Institute is designed to help learners develop practical skills across different IT and technology domains. Its publicly available website contains technology learning resources and certification-related content.

For learners interested in RAG with LlamaIndex Classes can be positioned around practical programming, Generative AI application development, and hands-on implementation. The learning method will enable the participants to gain knowledge about how retrieval-augmented generation applications are developed and how LlamaIndex can be utilized to link data sources with large language models.

The course will allow the learners to focus on real-life AI applications, where they can learn more about topics like document ingestion, data indexing, embeddings, retrieval, query engines, vector stores, and LLMs. By practicing and doing hands-on training, the participants will be able to transition from theory to implementation.

In addition, an industry-oriented RAG with LlamaIndex Course will enable the learners and professionals to develop knowledge and familiarity with various tools that are used in developing AI applications today. Other than learning the technical aspects, Infibee Technologies can prepare the learners for interviews and career opportunities.

Trainer Experience

Experienced instructors provide practical guidance across RAG, LlamaIndex, Python, LLM integration, retrieval workflows, and Generative AI application development concepts.

Real-Time Project Exposure

Practical projects help learners understand real-world AI agent development by implementing data retrieval, LLM integration, workflows, and application-building concepts.

Certification / Company Background

Infibee Technologies is a Chennai-based technology training provider with certification-related learning resources and support for learners completing training programs.

Affordable Course Fees

The RAG with LlamaIndex course can offer affordable fee options, helping students and professionals access structured training without unsupported competitor comparisons.

Teaching Methodology

Instructor-led sessions include practical Knowledge, real time exercises, doubt clarification, mock projects, and interview preparation for application-focused learning.

Certification

Infibee Technologies can provide course certification support to learners completing RAG with LlamaIndex training, documenting their participation and learning in relevant Generative AI, retrieval, LlamaIndex, and application-development concepts.

Modes of RAG with LlamaIndex Training

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

Global Certifications Available for RAG with LlamaIndex Training

S. No. Certification Code Cost Certification Expiry
1 LlamaIndex-specific certification Not identified as a standard official certification N/A
2 AWS Certified AI Practitioner – AIF-C01 Approximately ₹8,500 in India; verify current fee before registration 3 years
3 Microsoft Azure AI Fundamentals – AI-900 Approximately ₹3,700 in India; verify current fee Microsoft certification terms apply
4 Microsoft Azure AI Engineer Associate – AI-102 Approximately ₹16,500 in India; verify current fee Microsoft certification terms apply

Who Can Join the RAG with LlamaIndex Course?

The course can be useful for learners who want to develop practical skills in RAG, LLM applications, and agentic AI.

  • Students pursuing computer science, AI, machine learning, data science, or related fields
  • Fresh graduates looking to enter Generative AI development
  • Python developers interested in LLM-based application development
  • Software developers wanting to work with RAG and AI agents
  • Machine Learning Engineers expanding into Generative AI
  • Data Scientists exploring LLM and retrieval-based applications
  • AI/ML professionals developing advanced LLM application skills
  • Backend developers integrating LLMs and AI services into applications
  • Working IT professionals planning a transition toward Generative AI
  • Product developers and technical entrepreneurs exploring AI-powered products
  • Professionals familiar with LangChain or other AI frameworks who want to learn LlamaIndex

Basic Python programming and familiarity with APIs can be helpful for learners undertaking practical projects.

Career Opportunities in RAG with LlamaIndex

Job Role Typical Focus
Generative AI Engineer LLM-powered applications, RAG pipelines, and AI solutions
AI Engineer AI application development, APIs, models, and deployment
LLM Engineer LLM integration, prompting, retrieval, evaluation, and optimization
RAG Engineer Data ingestion, indexing, retrieval, reranking, and grounded generation
Agentic AI Engineer AI agents, tools, workflows, and autonomous task execution
AI/ML Engineer – GenAI Machine learning combined with LLM and Generative AI systems
Applied AI Engineer Applying LLMs and AI agents to business and product use cases
GenAI Developer Developing and integrating LLM-based applications
AI Solutions Architect Designing enterprise AI, RAG, agent, and cloud architectures
AI Application Developer Building production applications around LLMs, RAG, and AI services

Who’s Hiring Advanced RAG with LlamaIndex Professionals?

Recent job listings provide examples of organizations hiring for roles that mention LlamaIndex alongside RAG, LLMs, Generative AI, or agentic AI:

  1. Infosys – AI/GenAI engineering roles involving LlamaIndex.
  2. Google – Cloud AI Engineer roles listing RAG and frameworks
  3. Ford Motor Company – AI Engineer listings involving Generative AI and LlamaIndex.
  4. Bristol Myers Squibb – AI/data-engineering listings
  5. Capgemini Sogeti / Capgemini – GenAI engineering roles
  6. GlobalLogic – AI Architect listings involving LlamaIndex.
  7. Kyndryl – AI Engineer roles mentioning prompt engineering.
  8. Autodesk – Principal Engineer – Agentic AI listings involving LangChain and LlamaIndex.
  9. American Express – AI Engineer II listings involving LLM and RAG
  10. Low-Latency Technologies – GenAI Engineer roles involving Agentic AI

Can I Study RAG with LlamaIndex in Other Locations?

How to Register for the RAG with LlamaIndex Course at Infibee Technologies?

Step 1: Contact Infibee Technologies

Enquire about the RAG with LlamaIndex course, syllabus, fees, schedule, training mode, and upcoming batches.

Step 2: Explore the Course

Attend a demo session if one is available, and discuss your learning objectives, technical background, projects, and career requirements.

Step 3: Select a Batch and Register

Choose an available training mode and batch that fits your schedule, complete the registration process, and begin your RAG with LlamaIndex learning journey.

Enroll Today: Unlock Your RAG with LlamaIndex Training Potential

Interested in developing RAG and LlamaIndex skills? Contact Infibee Technologies, attend a demo if available, and explore the course structure, projects, schedule, and training options.

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RAG with LlamaIndex Course Syllabus

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Learn to build intelligent Retrieval-Augmented Generation (RAG) applications using LlamaIndex and modern LLM technologies. Master data ingestion, document indexing, embeddings, vector databases, retrieval, query engines, agents, and advanced RAG workflows. Develop practical, production-oriented AI applications through hands-on projects using LlamaIndex and current 2026 best practices.

  • Introduction to Generative AI and LLMs
  • RAG concepts and architecture
  • Why RAG is required
  • RAG vs. fine-tuning
  • RAG use cases and applications
  • RAG pipeline overview
  • What is LlamaIndex?
  • LlamaIndex architecture and core components
  • LLM and embedding integrations
  • Documents, Nodes and Indexes
  • Query engines and retrievers
  • Building a basic LlamaIndex application
  • Loading PDFs, Word, CSV and web data
  • LlamaIndex data connectors
  • Document parsing and preprocessing
  • Metadata extraction
  • Handling multiple data sources
  • Preparing enterprise data for RAG
  • Understanding Documents and Nodes
  • Node parsing and chunking strategies
  • Sentence and semantic splitting
  • Chunk size and overlap optimization
  • Embedding models
  • Vector representations and similarity
  • LlamaIndex indexing architecture
  • VectorStoreIndex
  • Creating and managing indexes
  • FAISS, Chroma and other vector stores
  • Persistent storage
  • Metadata filtering and indexing optimization
  • Building LlamaIndex query engines
  • Retrievers and response synthesizers
  • Prompt templates
  • Context retrieval and generation
  • Citation and source references
  • Building a complete RAG application
  • Similarity and hybrid retrieval
  • Query transformation
  • Query rewriting
  • Sub-question querying
  • Reranking and contextual retrieval
  • Recursive and hierarchical retrieval
  • Router-based retrieval
  • Conversational RAG
  • Chat engines and memory concepts
  • LlamaIndex agents
  • Tool calling and function calling
  • Multi-step and agentic retrieval
  • Multimodal RAG concepts
  • Knowledge graph integration
  • Evaluating retrieval quality
  • Response quality and relevance
  • Hallucination detection
  • RAG evaluation frameworks
  • Prompt injection and data protection
  • Latency and cost optimization
  • Debugging and observability
  • Building production-ready RAG applications
  • API integration and application architecture
  • Deployment and containerization concepts
  • Monitoring and observability
  • Scaling RAG systems
  • Enterprise RAG architecture
  • Agentic and multimodal RAG trends
  • Capstone project implementation
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Hands On RAG with LlamaIndex Projects

Enroll in our RAG with LlamaIndex 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 PDF Knowledge Assistant

  • Upload and process multiple PDF documents
  • Create Nodes, embeddings, and vector indexes
  • Build a LlamaIndex query engine
  • Implement contextual question answering
  • Provide source and citation references

Enterprise Document Intelligence System

  • Connect multiple enterprise data sources
  • Build and manage a centralized knowledge index
  • Implement metadata filtering and advanced retrieval
  • Add conversational question answering
  • Evaluate and optimize retrieval performance

Agentic Research & Knowledge Assistant

  • Build a LlamaIndex-powered AI agent
  • Combine RAG with external tools
  • Implement multi-step and sub-question retrieval
  • Add tool calling and structured responses
  • Create a production-oriented intelligent research assistant

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. Anitha
Experience
7+ Years
Specialized in
Specialized in Generative AI, LlamaIndex, RAG, Large Language Models, AI Agents, Vector Databases, Knowledge Graphs, and enterprise AI application development.
More Details
The trainer specializes in building practical Generative AI solutions using LlamaIndex, RAG architectures, LLMs, and intelligent AI agents. Training combines conceptual understanding with hands-on implementation, covering data ingestion, indexing, retrieval, evaluation, optimization, and deployment. Participants gain practical experience by developing end-to-end projects based on modern 2026 RAG and AI application development practices.
Schedule A free Demo

RAG with LlamaIndex Training Objectives

Our Best RAG with LlamaIndex 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.

GenAI and LLM professionals in India can earn approximately ₹7–12 LPA at entry level, depending on skills and employer. With experience, salaries can reach ₹14–25+ LPA, with specialized roles potentially offering higher packages. Practical RAG, LlamaIndex, Python, LLM, cloud, and deployment skills can support career opportunities in this field.

Basic to intermediate Python programming knowledge is recommended for the hands-on portions of the course. You should be familiar with functions, classes, packages, APIs, and basic application development concepts. Advanced Machine Learning knowledge is not required because the RAG concepts are introduced progressively.

The course covers LlamaIndex, LLMs, embedding models, vector databases, query engines, retrievers, and RAG evaluation techniques. It also explores advanced concepts such as hybrid retrieval, reranking, agents, tool calling, and knowledge graphs. The technology stack can be adapted to current LLM and LlamaIndex ecosystem developments during 2026.

You will build a PDF Knowledge Assistant, an Enterprise Document Intelligence System, and an Agentic Research Assistant. These projects cover ingestion, indexing, vector retrieval, conversational RAG, advanced querying, and AI agents. The projects are designed to provide practical experience with complete RAG application development.

LlamaIndex and LangChain are both frameworks used to build applications powered by LLMs and external data. LlamaIndex places strong emphasis on data ingestion, indexing, retrieval, and knowledge interfaces for RAG applications. LangChain provides a broader application orchestration approach involving chains, tools, agents, prompts, and model integrations.

Yes, LlamaIndex can be used to build enterprise knowledge assistants and other data-driven AI applications. Production implementations need appropriate access controls, data security, evaluation, monitoring, scalability, and cost management. The course introduces these considerations along with techniques for building reliable production-oriented RAG systems.

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.
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RAG with LlamaIndex Career Opportunity

RAG with LlamaIndex is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the RAG with LlamaIndex certification can earn an average of  8 LPA per year.

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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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RAG with LlamaIndex Training FAQ's

Infibee RAG with LlamaIndex 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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