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Generative AI Training in Bangalore — LLMs, LangChain, RAG, Prompt Engineering & AI Application Development
Master Generative AI — Large Language Models (ChatGPT, Gemini, Llama), LangChain, RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, vector databases and building production AI applications. The hottest skill in tech in 2026.
Duration
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Trained
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Skills You Will Master
Hands-on skills taught by working professionals with real MNC project experience.
Course Curriculum
5 structured modules with theory, hands-on labs and live projects.
01 LLM & GenAI Fundamentals · 5 topics
- How Large Language Models Work
- GPT, Gemini, Claude & Llama Architecture
- Tokens, Context Windows & Embeddings
- OpenAI API & Google Gemini API
- Use Cases: Chatbots, Summarisation, Code Gen
02 Prompt Engineering · 5 topics
- Zero-shot & Few-shot Prompting
- Chain-of-Thought (CoT) Reasoning
- Structured Output & JSON Mode
- System Prompts & Role Definitions
- Prompt Injection & Safety
03 LangChain & AI Orchestration · 5 topics
- LangChain Components (Chains, Memory, Agents)
- Document Loaders & Text Splitters
- Retrieval-Augmented Generation (RAG)
- ReAct Agents & Tool Use
- LangGraph for Multi-Agent Workflows
04 Vector Databases & Fine-Tuning · 5 topics
- Embeddings & Semantic Search
- ChromaDB, Pinecone & Weaviate
- Fine-Tuning with LoRA & QLoRA
- Instruction Tuning & RLHF Concepts
- Hugging Face Models & Transformers
05 Building AI Applications · 5 topics
- AI Chatbot with RAG (Python + Streamlit)
- AI Document Q&A System
- AI Code Review Agent
- Deploying AI Apps on AWS/GCP
- AI Application Architecture & Cost Optimisation
Tools & Technologies
Career Roles You Can Target
Generative AI Engineer
LLM Engineer
AI Application Developer
Prompt Engineer
AI Solutions Architect
MLOps Engineer (AI)
Industry Certifications
- Microsoft Azure AI Fundamentals (AI-900)
- Google Cloud Professional ML Engineer
- AWS Certified Machine Learning – Specialty
- DeepLearning.AI Generative AI Specialization
Frequently Asked Questions
Do I need to know machine learning for GenAI training?
No — while ML knowledge helps, our GenAI course is structured for developers who understand Python and APIs. We cover all foundational concepts within the programme.
What salary does a GenAI engineer earn?
Generative AI engineers are the highest-paid tech professionals in 2026 — earning ₹15–45 LPA in Bangalore. Senior AI architects earn ₹50–100 LPA at top product companies.
Is GenAI just about using ChatGPT?
No — this course teaches you to BUILD AI applications using LLMs as the engine. LangChain, RAG systems, vector databases, fine-tuning and production deployment are core skills.
What is LangChain?
LangChain is the most popular framework for building LLM-powered applications — connecting prompts, memory, tools, and vector databases into production-grade AI systems.
What can I build after this course?
AI chatbots, document Q&A systems, code review agents, automated report generators, semantic search engines, and multi-agent AI workflows — all with real code and production deployment.
Get Course Details
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