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Generative AI & LLM Course

Rated 5 out of 5

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

Begin your career with Generative AI & LLM Training, guided by 10 + years of industry-experienced experts with affordable Generative AI & LLM Course fees, mock projects, resume preparation, interview preparation, practical learning, and lifetime access to recorded live sessions.

Join our Generative AI & LLM Training Institute and ignite your Generative AI & LLM career future with high-paying jobs in top companies.

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Generative AI & LLM Course Overview

Infibee’s Generative AI & LLM Course is designed to provide students and professionals with practical knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, model integration, and real-world AI application development. In this course, you will be learning through concept and projects, which will give you a hands-on experience.

Introduction to Generative AI & LLM

Generative AI is the process by which  computers generate new content like text, images, code, audio and other digital output. An LLM, or large language model, is a type of AI. It reads a huge amount of text and then generates responses that feel similar to how humans write. In a class on LLMs, the group usually starts with the main concepts. After that, they shift to transformers, tokens, embeddings, and how to plan prompts. They also look at fine-tuning, RAG, how APIs fit in, and how to build AI tools.

Brief Explanation of Generative AI & LLM

Organizations are beginning to harness the power of generative AI and LLM capabilities in software development, automating knowledge work, content creation, data analytics, customer support and building intelligent applications. In this course, we will teach you practical ways to adapt LLMs to your business and technology use cases.

Importance of Generative AI & LLM

Generative AI & LLM skills equip learners with the latest AI capabilities and strategies as well as their practical applications in the industry. Competence in prompt engineering, LLM APIs, vector DB, RAG, agent, and responsible AI can boost modern AI innovation and automation.

The Main Goals of the Generative AI & LLM Course

Generative AI & LLM Training Job-ready skills development through lessons, hands-on practice, coding and projects. Students will learn to build, deploy, test and optimise generative AI based applications.

How the Course Helps Students and Professionals

It allows students to develop core and hands-on capabilities in AI while helping working professionals upgrade their current software, cloud, data, or development skills. Practical projects may help learners build up portfolios to showcase their hands-on capabilities with Generative AI and LLM.

Industry Demand and Future Scope

GenAI and LLM Use Cases Seen Across Sectors Tech companies, financial services firms, hospitals, schools, retailers, manufacturers, telecom providers, TV, radio, and cable programmers, and professional services providers are all investigating Generative AI and LLM use cases. As organizations implement AI-enabled assistants, search engines, content creators, code generators, and intelligent automation, the need for real-world GenAI skills increases.

Importance in Industries

Generative AI & LLM solutions can be used for customer service, software development, document processing, marketing, knowledge management, research, analytics and enterprise productivity. The future of Generative AI & LLM include LLM application development, RAG engineering, AI agent development, prompt engineering, AI integration, model evaluation, and responsible AI.

Generative AI & LLM Course Topics, Applications and Tools

Generative AI & LLM Course Topics Covered Applications of Generative AI & LLM Course Tools Used
Generative AI Fundamentals AI Content Generation Python
LLM Fundamentals Intelligent Chatbots OpenAI APIs
Transformers & Attention AI Assistants Hugging Face
Prompt Engineering Prompt-Based Automation LangChain
Embeddings & Vector Search Semantic Search LlamaIndex
RAG Architecture Enterprise Knowledge Assistants FAISS
Fine-Tuning Concepts Domain-Specific AI Applications ChromaDB
LLM APIs AI-Powered Applications Google Gemini
AI Agents Autonomous AI Workflows Microsoft Azure AI
Model Evaluation AI Testing & Evaluation AWS Bedrock
Responsible AI Enterprise AI Governance Jupyter Notebook
Deployment & Integration Production AI Solutions Git, GitHub & Docker

Why Choose Infibee Technologies for a Generative AI & LLM Course?

  • Industry-focused Generative AI & LLM Training
  • Experienced trainers with 10+ years of industry experience
  • Hands-on real-time project exposure
  • Practical training on LLMs, RAG, Prompt Engineering & AI Agents
  • Latest Generative AI tools and technologies
  • Certification guidance and support
  • Affordable and flexible course fees
  • Classroom, online, weekend and corporate training options
  • Interview preparation and placement assistance
  • Job-oriented curriculum with practical learning
  • Beginner-to-advanced level training
  • Support for building real-world AI project portfolios

Best Generative AI & LLM Course – Get Certified with Infibee Technologies

Infibee Technologies is an industry-focused Generative AI & LLM Training Institute, offering practical learning designed around modern AI technologies and real-world application development. The Generative AI & LLM Course includes instructor-led online classes, industry projects, hands-on labs, technical Q&A sessions, and career oriented career coaching.

Experienced Trainers

This course is conducted by seasoned industry exposure trainers, having 10+ years of experience in the industry, who walk learners through a practical and how-to approach in AI agents, RAG, Generative AI, prompts, and GPTs, APIs, and more.

Real-Time Project Exposure

Practical project exposure is an important part of the learning approach. You might build AI chatbots, tools that answer questions from your own documents, and RAG style setups. Some teams also work on smart assistants and tools that help write content. Others focus on business solutions powered by large language models.

Certifications and Industry Background

Infibee Technologies provides certification guidance and prepares learners to understand the concepts required for relevant industry certification examinations.The training material focuses on technologies and practices used in all modern AI development environment.

Affordable Course Fees

This Generative AI & LLM Course offers hands-on learning at a relatively low cost. You can select a mode of training that suits your time and learning preferences.

Teaching Methodology

The teaching methodology uses theory by the instructor, demonstration, code coding, assignment, project implementation, doubt clearing, and practical use cases. This method helps the students to develop from the basic artificial intelligence concepts to the creation of usable LLM-powered applications.

The company has also claimed to have already placed over 500 students in the best MNCs and top software companies. Placement assistance may also comprise of support in interviews, preparation of resume, mock interviews and career.

Global Certifications Available for Generative AI & LLM

S.No. Certification Code Certification Approx. Cost in INR Certification Expiry
1 AIF-C01 AWS Certified AI Practitioner ₹8,553 3 years
2 GAIL Google Cloud Generative AI Leader ₹8,500–₹9,000 3 years
3 AI-901 Microsoft Azure AI Fundamentals Approx. ₹8,500–₹9,000* Microsoft credential terms apply
4 AI-103 Microsoft Azure AI Apps and Agents Developer Associate Approx. ₹14,000–₹15,000* Microsoft credential terms apply
5 AIP-C01 AWS Certified Generative AI Developer – Professional Approx. ₹25,659 3 years

Who Can Join?

  • Fresh graduates and college students interested in AI.
  • Software developers and programmers.
  • Python developers.
  • Data analysts and data scientists.
  • Machine learning and AI professionals.
  • Cloud and DevOps professionals looking to add GenAI skills.
  • Automation and software testing professionals.
  • IT professionals seeking AI career opportunities.
  • Product managers and technical professionals exploring AI solutions.
  • Working professionals planning to transition into Generative AI and LLM development.
  • Entrepreneurs and technology enthusiasts interested in building AI-powered products.

Career Opportunities in Generative AI & LLM Course

Experience Level Generative AI & LLM Career Role Indicative Salary
Freshers / Junior (0–3 years) Junior Generative AI Developer ₹4–7 LPA
Prompt Engineer ₹4–7 LPA
LLM Application Developer ₹5–8 LPA
Generative AI Associate ₹4–7 LPA
AI/ML Engineer – GenAI Track ₹5–9 LPA
Mid-Level (4–8 years) Generative AI Engineer ₹8–15 LPA
LLM Engineer ₹10–18 LPA
RAG Engineer ₹9–16 LPA
AI Agent Developer ₹9–17 LPA
Generative AI Technical Lead ₹12–20 LPA
Senior / Experienced (9+ years) Senior Generative AI Architect ₹18–30 LPA
Principal LLM Engineer ₹20–35 LPA
Generative AI Solution Architect ₹20–35 LPA
AI Engineering Manager ₹22–40 LPA
Generative AI Consultant ₹18–30 LPA
Specialised Roles RAG Specialist ₹10–20 LPA
LLM Evaluation Specialist ₹10–20 LPA
AI Agent Specialist ₹12–22 LPA
Prompt Engineering Specialist ₹8–18 LPA
Responsible AI Specialist ₹12–22 LPA

Who’s Hiring Generative AI & LLM Professionals?

  • Microsoft
  • Amazon
  • Google
  • IBM
  • Accenture
  • Infosys
  • Tata Consultancy Services
  • Wipro

Can I Study for a Generative AI & LLM Course in Other Locations?

Yes. Infibee Technologies offers Generative AI & LLM Course learning options across major cities, subject to current batch availability:

With expert trainers, practical learning, certification guidance, and placement assistance, learners can select a suitable Generative AI & LLM Training option based on their location and schedule.

How to Register for the Generative AI & LLM Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website and submit the inquiry form. Participate in a free demo session to understand the curriculum, teaching methodology, practical projects, and learning approach.

Step 2: Select Your Training Mode

Choose between classroom, online, weekend, weekday, fast-track, or corporate training according to your learning requirements and schedule.

Step 3: Start Your Generative AI & LLM Course Journey

Begin your learning journey with experienced instructors. Practice Generative AI concepts, LLM technologies, prompt engineering, RAG, AI agents, and application development through practical exercises and projects.

Step 4: Build Projects and Prepare for Certification

Work on practical Generative AI & LLM projects, strengthen your portfolio, prepare for interviews, and receive guidance for relevant certification pathways.

Enroll Today: Unlock Your Generative AI & LLM Course Potential!

Enroll in the Generative AI & LLM Course at Infibee Technologies to learn LLMs, prompt engineering, RAG, AI agents, and practical AI application development with expert guidance and hands-on projects.

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Upcoming Generative AI & LLM Training Batches

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Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
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Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
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Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Generative AI & LLM Training Syllabus

Generative AI & LLM Training provides practical knowledge of Generative AI, Large Language Models, prompt engineering, AI agents, RAG, fine-tuning, embeddings, vector databases, and LLM application development. Learners gain hands-on experience building AI-powered applications using modern frameworks, APIs, and real-world projects.

  • Generative AI fundamentals
  • AI vs ML vs Deep Learning vs GenAI
  • Generative AI applications and use cases
  • Current GenAI ecosystem
  • Python fundamentals
  • NumPy, Pandas
  • APIs and JSON
  • Virtual environments
  • Working with AI/ML libraries
  • Supervised and unsupervised learning
  • Neural networks
  • Deep learning fundamentals
  • Transformers introduction
  • LLM architecture
  • Tokens and tokenization
  • Context windows
  • Parameters and model sizes
  • Pre-training and inference
  • Popular open-source and commercial LLMs
  • Attention mechanism
  • Self-attention
  • Positional encoding
  • Encoder and decoder
  • Transformer-based models
  • Prompt fundamentals
  • Zero-shot and few-shot prompting
  • Role prompting
  • Chain-of-thought concepts
  • Structured outputs
  • Prompt optimization
  • Prompt evaluation
  • OpenAI API
  • Gemini API
  • Anthropic API
  • API authentication
  • Chat and completion APIs
  • Function/tool calling
  • Hugging Face ecosystem
  • Transformers library
  • Model Hub
  • Tokenizers
  • Using pre-trained models
  • Inference
  • Text embeddings
  • Semantic search
  • Similarity search
  • Vector databases
  • FAISS
  • ChromaDB
  • Pinecone concepts
  • RAG architecture
  • Document loading
  • Text chunking
  • Embedding generation
  • Retrieval strategies
  • Context injection
  • RAG evaluation
  • Advanced RAG techniques
  • LangChain fundamentals
  • Models and prompts
  • Chains
  • Document loaders
  • Retrievers
  • Memory
  • Tools
  • Agents
  • AI agents fundamentals
  • Tool calling
  • Agent workflows
  • Multi-step reasoning concepts
  • Multi-agent systems
  • Agent orchestration
  • Fine-tuning fundamentals
  • Dataset preparation
  • Supervised fine-tuning
  • LoRA
  • QLoRA
  • Parameter-efficient fine-tuning
  • Model evaluation
  • Text generation
  • Image generation
  • Vision-language models
  • Speech and audio AI
  • Multimodal applications
  • AI chatbots
  • Document Q&A systems
  • AI content generation
  • Summarization applications
  • Semantic search applications
  • AI-powered assistants
  • Model evaluation
  • Hallucination detection
  • Accuracy and relevance
  • Latency optimization
  • Cost optimization
  • Prompt and RAG evaluation
  • AI safety
  • Responsible AI
  • Data privacy
  • Prompt injection
  • Security risks
  • Bias and fairness
  • Guardrails
  • Building production-ready GenAI applications
  • FastAPI
  • Streamlit
  • Docker basics
  • Cloud deployment concepts
  • Monitoring and logging
  • LLMOps fundamentals
  • RAG-based chatbot
  • AI document assistant
  • Custom LLM application
  • AI agent with tool calling
  • Enterprise knowledge assistant
  • End-to-end GenAI project with deployment
Need customized curriculum?
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Hands On Generative AI & LLM Projects

Gain practical experience by building real-world Generative AI and LLM applications using Python, LLM APIs, prompt engineering, RAG, LangChain, embeddings, and vector databases. Develop industry-relevant projects such as AI chatbots, document assistants, intelligent search systems, and AI-powered applications.

Build Intelligent RAG-Based AI Applications

Learn to create Retrieval-Augmented Generation (RAG) applications that can understand and retrieve information from documents. Work with embeddings, vector databases, document processing, LangChain, and LLMs to build intelligent document Q&A and knowledge-assistant solutions.

Develop AI Agents with LLMs

Build autonomous AI agents capable of understanding tasks, making decisions, using tools, and completing multi-step workflows. Gain hands-on experience with LLM APIs, function calling, LangChain agents, tool integration, and agentic AI concepts through practical industry-oriented projects.

Create and Deploy LLM-Powered Applications

Develop complete LLM applications from concept to deployment using Python, APIs, prompt engineering, and modern GenAI frameworks. Build AI chatbots, content-generation tools, semantic search applications, and intelligent assistants while learning practical deployment and optimization techniques.

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. Krishna
Experience
8+ Years
Specialized in
Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, LangChain, AI Agents, Python, Hugging Face, OpenAI APIs, Embeddings, Vector Databases, and GenAI Application Development.
More Details
Mr. Krishna is an experienced AI professional with 8+ years of industry experience, specializing in Generative AI, LLM applications, prompt engineering, RAG, LangChain, AI agents, and Python-based AI development. He focuses on practical, project-based learning and helps learners understand modern GenAI technologies through real-world applications. These areas align with current GenAI training requirements, including LLMs, RAG, LangChain, embeddings, agents, and deployment.

Generative AI & LLM Course Objectives

The Generative AI & LLM Training aims to provide learners with practical knowledge of Generative AI, Large Language Models, prompt engineering, RAG, LangChain, AI agents, embeddings, vector databases, and LLM APIs. Participants will gain hands-on experience building and deploying real-world AI applications while developing industry-ready skills for careers in Generative AI and LLM technologies.

The main objective is to help learners understand Generative AI and Large Language Models and develop practical skills to build real-world AI-powered applications.

You will learn Prompt Engineering, LLM APIs, RAG, LangChain, embeddings, vector databases, AI agents, fine-tuning, and GenAI application development.

Yes. The training focuses on practical learning through hands-on projects such as AI chatbots, RAG applications, document assistants, AI agents, and LLM-powered applications.

Yes. Beginners can learn the fundamentals step by step. The training covers essential concepts before progressing to advanced LLM, RAG, agent, and application-development topics.

The course aims to develop industry-relevant skills that can help learners work on Generative AI, LLM application development, AI automation, RAG systems, AI agents, and related technology projects.

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.

Generative AI & LLM Training Career Opportunity

Our Placement Partners network helps learners explore career opportunities with companies hiring for AI and technology roles. Infibee Technologies provides placement guidance, resume preparation, mock interviews, interview training, and career support to help candidates confidently approach opportunities in Generative AI, LLM, Machine Learning, Python, and related domains.

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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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Generative AI & LLM Training Training FAQ's

Infibee Generative AI & LLM 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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