Generative AI & Large Language Models
Master ChatGPT, LangChain, RAG, and production-ready AI development. Build next-generation intelligent applications.
LLM Mastery
Learn GPT, Claude, Gemini, and custom model development.
RAG & Vector DBs
Build intelligent retrieval systems with embeddings.
Production Deployment
Deploy AI apps with LangChain and best practices.
Generative AI & Large Language Models (LLMs)
Build next-generation AI applications using ChatGPT, LangChain, RAG, and cutting-edge LLM technologies. Transform your career in the AI revolution.
About This Program
The Generative AI revolution is transforming industries worldwide. Our comprehensive training program equips you with the skills to build production-ready AI applications using the latest Large Language Models (LLMs) and frameworks. Learn to create ChatGPT-like applications, implement Retrieval-Augmented Generation (RAG), work with vector databases, and deploy AI solutions that solve real-world problems.
This hands-on program covers everything from prompt engineering basics to advanced topics like fine-tuning models, building AI agents, and integrating LLMs into production systems. You'll work on real projects and build a portfolio that demonstrates your capabilities to potential employers.
What You'll Learn
- LLM Fundamentals: GPT, Claude, Gemini architectures
- Prompt Engineering: Advanced techniques and best practices
- LangChain Framework: Building complex AI workflows
- Vector Databases: Pinecone, Chroma, FAISS
- RAG Systems: Document Q&A and knowledge bases
- Fine-tuning: Customize models for specific tasks
- AI Agents: Build autonomous reasoning systems
- API Integration: OpenAI, Anthropic, Google AI
- Deployment: Production-ready AI applications
- Ethics & Safety: Responsible AI development
Course Curriculum
- Understanding Generative AI landscape
- Transformer architecture deep dive
- GPT, BERT, T5 models overview
- OpenAI API basics & authentication
- Building first ChatGPT application
- Token management and pricing
- Zero-shot, one-shot, few-shot prompting
- Chain-of-thought & tree-of-thought
- Prompt templates and optimization
- System prompts and role engineering
- Handling hallucinations and biases
- Prompt injection security
- LangChain architecture & components
- Chains, Agents, and Memory systems
- Custom tools and function calling
- Document loaders and text splitters
- Building conversational AI
- LangSmith for debugging and monitoring
- Embeddings and semantic search
- Pinecone, Chroma, FAISS setup
- Building RAG pipelines
- Document Q&A systems
- Multi-document retrieval strategies
- Optimizing retrieval performance
- Fine-tuning GPT models
- Data preparation and formatting
- Model evaluation metrics
- Deploying with FastAPI/Flask
- Scaling and monitoring
- Cost optimization strategies
- Build production-ready AI application
- Options: Chatbot, Document analyzer, Code assistant, Content generator
- Full-stack integration (Frontend + Backend + LLM)
- Testing and quality assurance
- Deployment to cloud (AWS/Azure/GCP)
- Portfolio presentation and documentation
Career Opportunities
Graduates of this program are prepared for high-demand roles such as:
AI Engineer
Average Salary: ₹8-15 LPA
LLM Developer
Average Salary: ₹10-18 LPA
Prompt Engineer
Average Salary: ₹7-12 LPA
AI Solutions Architect
Average Salary: ₹12-20 LPA
Ready to Master Generative AI & LLMs?
Learn to build production-ready GenAI applications with ChatGPT, LangChain, RAG systems, and AI agents. Get hands-on experience and expert mentorship with Dhruva Softech.
Enroll Now