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LLM Application Development Course

Rated 5 out of 5

Infibee Technologies offers India’s No.1 LLM Application Development Course with Global Certification and Real-Time Projects Training.

Begin your career with LLM Application Development Training, guided by 10 + years of industry-experienced experts with affordable Language Models (LLM) Course fees, mock projects, resume preparation, interview preparation, practical learning, and lifetime access to recorded live sessions.

Join our LLM Application Development Training Institute and ignite your Large Models (LLM) career future with high-paying jobs in top companies.

Other related LLM Application Development include:

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LLM Application Development Course Overview

Infibee’s LLM Application Development Course is designed to help students and professionals build practical AI applications powered by Large Language Models. This course will cover various aspects such as LLM Fundamentals, Prompt Engineering, APIs, RAG, Embeddings & Vector Databases, AI Agents, Application Integration, Testing, Deployment etc.

You’ll be able to get all your doubts clear on developing AI Applications after going through our Real-Time Projects & Industry-Oriented Assignments.

Introduction to LLM Application Development

Our focus of application development training is on the creation of intelligent applications with the help of large language models (LLMs). These applications can understand, generate, summarize, retrieve & process information.

The LLM Application Development Training at Infibee Technologies will introduce you to the entire development life cycle starting from choosing LLMs, preparing your data, integrating APIs all the way to deploying AI-powered applications.

Brief Explanation About LLM Application Development

Applications of LLMs involve combining them with other software elements including databases, APIs, retrieval systems and user interface.

Learners will have an understanding of developing various kinds of chatbots (e.g., document processing, AI assistant), RAG applications, and enterprise AI solutions.

Importance of LLM Application Development

Our LLM Application Development program empowers you to automate knowledge intensive tasks, enhance customer interactions, speed up content processing, and drive innovative business solutions using Large Language Models (LLMs).

Professionals equipped with real world expertise of developing LLM applications are poised for impactful roles within contemporary AI & software initiatives.

Purpose of LLM Application Development Course

Develop practical skills for creating, integrating, testing and deploying LLM-powered applications.
Understand modern AI development workflows and apply them to real world business use cases

How the Course Helps Students and Professionals

Improve your job skills in development, or refresh what you already know about programming and AI.

You will build practical projects and see how LLMs, RAG, APIs, and databases fit together when you create AI agents.

Industry Demand and Future Scope

We have been exploring LLM-based solutions across various industries, including software, healthcare, fintech, edtech, retail, customer service, etc.

The future scope will include developing AI applications, enterprise copilots, intelligent automation, conversational AI, RAG systems, and ai agent solutions.

Importance Across Industries

LLM Applications Can Be Used For Document Analysis, Customer Support, Knowledge Management, Content Generation, Research Assistance, Workflow Automation & More.

As Organizations Continue To Adopt Generative Ai, Having Practical Skills In Llm Application Development Will Help You Pursue Careers In Emerging Ai And Software-Development Roles.

LLM Application Development Course Topics, Applications & Tools

LLM Application Development Course Topics Covered Applications of LLM Application Development Course Tools Used
LLM Fundamentals AI Assistants OpenAI API
Prompt Engineering Conversational AI Hugging Face
LLM APIs & Integration Intelligent Chatbots LangChain
Embeddings & Vector Databases Document Q&A LlamaIndex
Retrieval-Augmented Generation (RAG) Enterprise Knowledge Systems FAISS
AI Agents AI Workflow Automation Python
Context Management Content Generation Jupyter Notebook
LLM Application Testing Text Summarization Git & GitHub
Deployment & Optimization Research Assistants FastAPI
Real-Time Projects Customer Support Solutions Streamlit

Why Choose Infibee Technologies for an LLM Application Development Course?

  • 10+ Years of Industry-Experienced Trainers
  • Hands-on Real-Time Project Exposure
  • Industry-Oriented LLM Application Development Training
  • Practical Learning with LLMs, RAG, APIs and AI Agents
  • Certification Guidance and Career Support
  • Resume Preparation and Interview Assistance
  • Affordable and Flexible Course Fees
  • Classroom, Online, Weekend and Corporate Training
  • Beginner-to-Advanced Learning Approach
  • Successfully Placed 500+ Students in Leading MNCs and Top Software Companies

Best LLM Application Development Course – Get Certified with Infibee Technologies

Infibee Technologies – India’s leading LLM Application Development Course Institute, we offer an industry-focused training program that enables our students and working professionals to develop their skills in modern LLM technologies.

The LLM Application Development Training at Infibee Tech will provide you with the opportunity to learn from experienced trainers who have more than 10 years of industry experience, gain hands on exposure with real-time project based learning and prepare yourself with certifications that align with industry relevant skills required today.

Our courses are designed in such a way that they allow us to keep course fees affordable while ensuring that you get quality education from Infibee Technologies which helps you build strong foundation for future success.

  • Experienced Trainers: Learn from trainers with 10+ years of industry experience, providing practical insights into LLMs, Generative AI, RAG, APIs, AI agents, and application development.
  • Real-Time Project Exposure: Gain hands on experience by developing practical LLM applications, including AI assistants, chatbots, RAG-based systems, document Q&A applications, and intelligent AI solutions.
  • Skills for Real Industry Needs: Gain skills that match what the industry asks for today. Get help on certification steps to support your resume. Show that you can work on LLM applications.
  • Low-Cost Training Options: Infibee Technologies offers training fees that are easier to manage. Programs are meant for students, new job seekers, and people already working.
  • Learn the Way You Use It: Classes run with a live instructor. You will watch demos in real time. There will be practice tasks and short work assignments. You will also do real projects and get interview support so the learning feels practical.

We have succeeded in placing 500 + Students In Top Mncs And Software Companies With Industry Oriented Training Program At Infibee Tech We Provide Career Guidance Support Placement Assistance To All Learners Who Enroll Into Our Courses So You Can Build Strong Foundation For Future Success.

Global Certifications Available for LLM Application Development

S.No. Certification Code Certification Approx. Cost (INR) Certification Expiry
1 AI-900 Microsoft Azure AI Fundamentals ₹4,000–₹5,000 Does not expire
2 AI-102 Microsoft Azure AI Engineer Associate ₹12,000–₹13,000 1 year
3 AWS-Certified AI Practitioner AWS Certified AI Practitioner ₹8,000–₹9,000 3 years
4 AWS ML Engineer AWS Certified Machine Learning Engineer – Associate ₹12,000–₹13,000 3 years
5 GCP-ML Google Cloud Professional Machine Learning Engineer ₹16,000–₹17,000 2 years

Who Can Join?

  • Freshers interested in AI and software development
  • Python developers
  • Software developers and engineers
  • Data scientists and ML professionals
  • AI/ML engineers
  • Full-stack developers
  • Cloud and DevOps professionals
  • Automation professionals
  • Working professionals transitioning into Generative AI
  • Students pursuing technology or computer-science-related programs
  • Entrepreneurs and technology professionals interested in building AI applications

Career Opportunities in LLM Application Development

Experience Level Job Role Indicative Salary Range
Freshers / Junior (0–3 years) Junior LLM Application Developer ₹3–6 LPA
Generative AI Developer ₹4–7 LPA
Junior AI Application Engineer ₹4–7 LPA
LLM Developer ₹5–8 LPA
Mid-Level (4–8 years) LLM Application Developer ₹8–14 LPA
Generative AI Engineer ₹10–18 LPA
RAG Application Developer ₹9–16 LPA
AI Agent Developer ₹10–18 LPA
Senior / Experienced (9+ years) Senior LLM Application Architect ₹18–30 LPA
Lead Generative AI Engineer ₹18–30 LPA
AI Solutions Architect ₹20–35 LPA
LLM Application Consultant ₹18–32 LPA
Specialized Roles RAG Engineer ₹10–20 LPA
LLM Evaluation Specialist ₹10–20 LPA
AI Agent Specialist ₹12–22 LPA
LLM Application Testing Specialist ₹10–20 LPA

Who’s Hiring Advanced LLM Application Development Professionals?

  • Microsoft
  • Google
  • Amazon
  • IBM
  • Accenture

Can I Study for an LLM Application Development Course in Other Locations?

Yes! Infibee Technologies offers LLM Application Development Training across major cities and through online learning options.

With expert trainers, practical learning, certification support, and placement assistance, Infibee Technologies provides flexible learning options for students and professionals across India. Learners searching for LLM Application Development Course Training near me, LLM Application Development Course near me, or an LLM Application Development Course Training Institute near me can choose classroom or online training based on their requirements.

How to Register for the LLM Application Development Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website and submit the inquiry form. Attend a free demo to understand the curriculum, training methodology, projects, and learning approach.

Step 2: Select Your Training Mode

Choose classroom, online, weekend, weekday, fast-track, or corporate LLM Application Development Course Training. Confirm your preferred batch schedule.

Step 3: Start Your LLM Application Development Journey

Begin learning with expert instructors, complete practical assignments, work on real-time projects, and develop job-ready skills for LLM application development and certification.

Enroll Today: Unlock Your LLM Application Development Course Potential!

Enroll today in Infibee’s LLM Application Development Course to gain practical AI skills, build real-world LLM applications, learn from industry experts, earn certification guidance, and advance your career.

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Why People Choose Infibee ?

Upcoming SLLM Application 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

Large Language Models (LLM) Training

Learn Large Language Models (LLMs) with practical, industry-focused training covering LLM fundamentals, transformer architecture, prompt engineering, fine-tuning, embeddings, RAG, vector databases, LLM APIs, evaluation, and deployment. Gain hands-on experience building AI applications and prepare for real-world Generative AI roles.

  • Introduction to Generative AI and Large Language Models
  • LLM architecture and working principles
  • Tokens, embeddings, context windows, and parameters
  • Prompting fundamentals
  • LLM application development lifecycle
  • Overview of OpenAI, Gemini, Claude, and open-source LLMs
  • LLM APIs and model selection
  • Python fundamentals for AI development
  • Functions, modules, classes, and packages
  • Virtual environments and dependency management
  • JSON, REST APIs, and HTTP requests
  • Data processing with Pandas
  • Exception handling and logging
  • Environment variables and API key management
  • Zero-shot and few-shot prompting
  • Role-based and instruction-based prompts
  • Chain-of-thought prompting concepts
  • Structured output prompting
  • Prompt templates
  • System, user, and assistant messages
  • Prompt optimization techniques
  • Handling hallucinations through effective prompting
  • Working with LLM APIs
  • Chat and completion APIs
  • Streaming responses
  • Function/tool calling
  • Structured JSON responses
  • Temperature, tokens, and model parameters
  • API error handling and rate limits
  • Building reusable LLM service layers
  • Introduction to embeddings
  • Text embedding generation
  • Semantic similarity
  • Chunking and document preprocessing
  • Vector indexing
  • Vector databases
  • ChromaDB
  • FAISS
  • Pinecone
  • Similarity search and metadata filtering
  • RAG architecture and workflow
  • Document loading and parsing
  • Text splitting strategies
  • Embedding and indexing pipelines
  • Retriever configuration
  • Context retrieval
  • RAG prompt design
  • Metadata-based retrieval
  • Hybrid search concepts
  • RAG evaluation and optimization
  • Introduction to LangChain
  • Models and prompt templates
  • Chains and runnable workflows
  • Document loaders
  • Text splitters
  • Retrievers
  • Vector stores
  • Tools and agents
  • Memory and conversation history
  • Building production-ready LangChain applications
  • Introduction to AI agents
  • Agent architecture
  • LangGraph fundamentals
  • Nodes, edges, and state
  • Conditional workflows
  • Tool integration
  • Multi-step reasoning workflows
  • Human-in-the-loop applications
  • Multi-agent system concepts
  • Building agentic LLM applications
  • Function calling
  • Web search integration
  • Database connectivity
  • API and third-party tool integration
  • Calculator and code execution tools
  • Custom tool creation
  • Tool selection and orchestration
  • Secure tool execution
  • Conversational AI architecture
  • Context management
  • Conversation memory
  • Document-based chatbots
  • FAQ assistants
  • Customer-support chatbot
  • Multi-turn conversations
  • Streaming chatbot responses
  • Chatbot testing and optimization
  • Introduction to multimodal AI
  • Text + image applications
  • Image understanding with LLMs
  • Document and PDF understanding
  • Vision-based question answering
  • OCR + LLM workflows
  • Multimodal RAG
  • Building practical multimodal applications
  • SQL database integration
  • Natural language to SQL
  • Text-to-SQL applications
  • Database agents
  • Query generation and validation
  • PostgreSQL/MySQL integration
  • Connecting LLM applications with enterprise data
  • Database security considerations
  • LLM application evaluation
  • Response quality measurement
  • RAG evaluation
  • Retrieval accuracy
  • Faithfulness and relevance
  • Hallucination detection
  • Prompt evaluation
  • Latency and token optimization
  • Cost optimization
  • LLM observability and tracing
  • LLM application security
  • Prompt injection
  • Jailbreaking concepts
  • Data privacy
  • Sensitive information protection
  • Secure API key management
  • Input/output validation
  • Access control
  • Responsible AI practices
  • Guardrails for LLM applications
  • Building production-ready LLM applications
  • FastAPI for LLM backends
  • Streamlit application development
  • Docker fundamentals
  • Environment configuration
  • Cloud deployment concepts
  • Logging and monitoring
  • API authentication
  • Scalability and performance optimization
  • CI/CD basics for AI applications
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On LLM Application Development Course Projects

Gain practical experience through hands-on LLM Application Development Course Projects that focus on building real-world AI solutions using Python, LLM APIs, Prompt Engineering, RAG, LangChain, LangGraph, Vector Databases, and AI Agents. Work on projects such as intelligent chatbots, document-based Q&A systems, AI research assistants, text-to-SQL applications, and enterprise knowledge assistants while learning to integrate, test, optimize, and deploy production-ready LLM applications.

AI-Powered Document Q&A Assistant

Build an intelligent document question-answering application using LLMs, RAG, embeddings, and vector databases. Learn to process PDFs and documents, retrieve relevant information, and generate accurate contextual responses for real-world knowledge management use cases.

Intelligent AI Customer Support Agent

Develop an AI-powered customer support agent using Python, LLM APIs, LangChain, and tool integration. Create conversational workflows that understand user queries, maintain context, retrieve relevant information, and provide automated responses for practical customer-service scenarios.

Multi-Agent Research Assistant

Create a multi-agent LLM application using LangGraph where specialized AI agents collaborate to research topics, gather information, analyze content, and generate structured reports. Gain practical experience with agent workflows, state management, tool calling, and automated task orchestration.

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. Guhan
Experience
8+ Years
Specialized in
Large Language Models (LLM), Generative AI, Prompt Engineering, RAG, LangChain, LangGraph, AI Agents, Python, Vector Databases, and LLM Application Development.
More Details
Mr. Guhan is an experienced AI professional with 8+ years of industry expertise in developing and implementing AI-driven applications. He provides practical, industry-oriented training with real-time project exposure, helping learners build scalable LLM applications and strengthen their hands-on skills in modern Generative AI technologies.

LLM Application Development Course Objectives

The LLM Application Development Course is designed to provide learners with practical knowledge of building real-world applications using Large Language Models and Generative AI. Participants will learn Prompt Engineering, LLM APIs, RAG, embeddings, vector databases, LangChain, LangGraph, AI Agents, and Python, along with application integration, evaluation, security, and deployment. The training emphasizes hands-on projects and industry-oriented practices to help learners develop and deploy reliable, scalable LLM-powered applications.

You will learn how to build real-world LLM applications using Python, LLM APIs, Prompt Engineering, RAG, embeddings, vector databases, LangChain, LangGraph, and AI Agents.

The training aims to help learners understand LLM concepts, integrate AI models into applications, build RAG and agentic workflows, work with external tools and databases, and develop production-ready AI solutions.

Yes. Learners with basic programming knowledge can start the course and gradually develop practical skills through structured lessons, hands-on exercises, and real-world LLM application projects.

Learners can build projects such as AI chatbots, document Q&A systems, RAG applications, customer-support agents, text-to-SQL assistants, knowledge-base applications, and multi-agent AI systems.

LLM Application Development helps you understand how to integrate modern AI models into practical software applications. The skills can be applied to chatbots, enterprise automation, knowledge assistants, research tools, and other Generative AI solutions.

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.

LLM Application Development Career Opportunity

Connect with career opportunities through our placement support network and industry-focused hiring assistance. Get guidance on job opportunities, resume preparation, interview skills, and career development to help you confidently pursue roles in LLM, Generative AI, Prompt Engineering, AI Agents, and related technologies.

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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.

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LLM Application Development Course Training FAQ's

Infibee LLM Application Development Course 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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