Course Overview & Summary
What is the Generative AI Course in Tiruppur?
The Generative AI Course in Tiruppur provided by Kabivarth ISO Educational is an intensive, practical training program designed to equip students and software professionals with skills in modern Generative AI, Large Language Models (LLMs), and autonomous AI agent architectures.
Quick Course Overview:
- Core Focus: Generative AI Architecture, LLM Application Development, and AI Workflow Automation.
- Key Frameworks & Tools: OpenAI API, Llama 3, LangChain, LlamaIndex, ChromaDB, Pinecone, Hugging Face, Python.
- Core Techniques: Advanced Prompt Engineering, RAG (Retrieval-Augmented Generation), Fine-tuning, Tool Calling, and Agentic Workflows.
- Training Mode: Hands-on Practical Lab Sessions at Tiruppur Center.
- Certification: ISO 9001:2015 Certified Course Completion Certificate.
As businesses across industries integrate GenAI to automate operations and build intelligent search engines, understanding how to design prompt pipelines, store embeddings in vector databases, and deploy custom RAG models is a critical competitive advantage.
Generative AI Training Snapshot & Modules
Below is a structured overview of the Generative AI training program offered in Tiruppur:
| Feature / Module |
Technologies & Skills Covered |
Practical Outcome |
| Prompt Engineering |
Zero-shot, Few-shot, Chain-of-Thought (CoT), System Prompts |
Optimize AI accuracy & response structure |
| LLM Integration |
OpenAI APIs, Hugging Face, Anthropic Claude, Llama 3 |
Integrate state-of-the-art LLMs into custom apps |
| Embeddings & Vector DBs |
ChromaDB, Pinecone, Semantic Search, Cosine Similarity |
Build high-performance search & retrieval systems |
| RAG Systems |
Retrieval-Augmented Generation, Document Chunking, Query Processing |
Build custom AI chatbots trained on proprietary PDFs & data |
| LangChain & Frameworks |
LangChain Chains, Memory, Output Parsers, LlamaIndex |
Develop multi-step automated AI workflows |
| AI Agents & Tools |
Function Calling, Tool-use, ReAct Framework, Autonomous Workflows |
Deploy AI agents capable of web browsing & database execution |
Detailed Generative AI Course Syllabus
Our curriculum is structured sequentially from AI foundations to enterprise-grade AI deployment:
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Module 1: Fundamentals of Artificial Intelligence & Generative AI
Overview of AI vs. Machine Learning vs. Deep Learning; Evolution of Generative Models (GANs, VAEs, Transformers); Architecture of Transformer models; Self-Attention mechanism and Tokenization.
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Module 2: Large Language Models (LLM) Architecture
Understanding Context Windows, Temperature, Top-P, and Parameter Tuning; Open-Source vs. Closed-Source Models (GPT-4o, Llama 3, Mistral, Claude 3); Local model execution using Ollama and LM Studio.
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Module 3: Advanced Prompt Engineering & Prompt Design
Role-Based Prompting; Instruction tuning; Zero-shot & Few-shot learning; Chain-of-Thought (CoT) & Tree-of-Thoughts (ToT) prompting; Jailbreaking prevention and Guardrails.
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Module 4: Working with AI APIs & Python SDKs
Setting up API keys; OpenAI Python Library; Streaming responses; Managing rate limits and token costs; Structured JSON outputs from LLMs.
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Module 5: Text Embeddings & Vector Databases
What are Vector Embeddings?; Dense vs. Sparse vectors; Dimensionality reduction; Vector Databases architecture: ChromaDB, Pinecone, FAISS, and Qdrant; Indexing strategies and Cosine Similarity search.
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Module 6: Retrieval-Augmented Generation (RAG) Deep Dive
RAG Architecture vs. Fine-tuning; Document ingestion & Text Chunking strategies (Recursive Character, Token-based); Vector Store Indexing; Hybrid Search (BM25 + Semantic); RAG evaluation & accuracy metrics.
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Module 7: LangChain & LlamaIndex Frameworks
Building chains with LangChain Expression Language (LCEL); Memory management in LLMs; Document Loaders & VectorStore Indexing in LlamaIndex; Building enterprise QA bots.
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Module 8: Autonomous AI Agents & Function Calling
Understanding AI Agents & ReAct (Reason + Act) Loops; Function Calling APIs; Connecting LLMs with external APIs, SQL Databases, and Web Search Tools; Multi-Agent Systems.
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Module 9: Fine-Tuning Concepts & PEFT Techniques
When to Fine-Tune vs RAG; Dataset preparation & JSONL formatting; Parameter-Efficient Fine-Tuning (PEFT), LoRA, and QLoRA concepts; Model evaluation.
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Module 10: Multimodal Generative AI (Image, Audio & Vision)
Text-to-Image models (Stable Diffusion, Midjourney concepts); Vision-Language models (GPT-4 Vision); Audio generation and Whisper Speech-to-Text pipelines.
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Module 11: Real-World Capstone Projects & Deployment
Building an Enterprise Custom Document Assistant (RAG Application); Deploying AI backend services using FastAPI and Streamlit frontend.
Who Should Enroll in this Generative AI Training in Tiruppur?
This course is tailored for individuals seeking high-demand skills in AI development, prompt design, and automated workflow design:
- Software Developers & Engineers: Transition into AI development by adding LangChain, RAG, and LLM APIs to your tech stack.
- B.E / B.Tech / B.Sc / BCA / MCA Students: Gain a futuristic skill set and build standout capstone projects for academic and placement success.
- Digital Marketers & Content Managers: Learn advanced prompt engineering to automate content creation and SEO workflows.
- Data Professionals & Analysts: Learn vector storage and natural language queries over relational and unstructured data.
- Entrepreneurs & Tech Founders: Build AI-powered SaaS products, intelligent customer service bots, and business automation agents.
Why Choose Kabivarth ISO Educational for GenAI Training in Tiruppur?
Established in 2005, Kabivarth ISO Educational is an ISO 9001:2015 certified training institution with over two decades of excellence in computer science and technology education in Tiruppur.
Experienced Mentors
Learn directly from IT practitioners with hands-on expertise in software engineering, cloud APIs, and AI integrations.
100% Practical & Project-Driven
No pure theory. Every module includes hands-on coding exercises, API integrations, and practical lab sessions.
ISO 9001:2015 Certification
Earn a globally recognized certificate upon successfully completing your Generative AI training and projects.
Career & Placement Guidance
Get support with AI portfolio creation, GitHub project showcase, resume building, and interview preparation.
Frequently Asked Questions (FAQs)
What is the course duration and mode for Generative AI training in Tiruppur?
The program offers flexible learning schedules including weekday regular batches and weekend classes. All classes are conducted at our Tiruppur center with fully equipped lab facilities.
Who can join the Generative AI course at Kabivarth?
Students, software professionals, digital marketers, and tech enthusiasts can join. While prior programming experience in Python is beneficial for advanced RAG/LangChain modules, beginners can start with foundational prompt engineering concepts.
Do you offer practical projects and placement support in Tiruppur?
Yes! The course features hands-on capstone projects such as building custom document QA bots, AI agents, and prompt applications. We also offer guidance for resume optimization and technical interview preparation.
What core AI technologies and frameworks are covered in the syllabus?
Our syllabus covers LLMs (GPT-4, Llama 3), Prompt Engineering, Vector Databases (ChromaDB, Pinecone), Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, AI Agents, and Multimodal AI tools.
What is the difference between Prompt Engineering and RAG?
Prompt Engineering involves crafting precise text instructions to guide an AI model's output. Retrieval-Augmented Generation (RAG) is a developer architecture that connects LLMs to external vector databases so the AI can answer queries using internal custom documents.
How can I inquire about batch timings and course fees?
You can contact Kabivarth ISO Educational directly by calling +91 98947 14244 or filling out our online enquiry form on the website.
