Generative AI & LLM Development Online Live Class by Experts
Our Training/Internship Process
Generative AI & LLM Development - Syllabus, Fees & Duration
Introduction to Generative AI
- What is Generative AI?
- Applications of Generative AI
- Evolution of AI Models
- AI Ethics and Responsible AI
Large Language Models (LLMs)
- Introduction to LLMs
- Transformer Architecture
- Tokens and Embeddings
- Popular LLMs (GPT, Llama, Gemini, Claude)
Prompt Engineering
- Prompt Design
- Few-shot & Zero-shot Prompting
- Chain of Thought Prompting
- Role Prompting
Python for AI Development
- Python Basics
- Virtual Environment
- API Integration
- JSON Handling
OpenAI API Development
- OpenAI API
- Chat Completion API
- Function Calling
- Streaming Responses
Hugging Face Models
- Transformers Library
- Pipelines
- Model Hub
- Inference API
LangChain Framework
- Chains
- Prompt Templates
- Memory
- Agents
Vector Databases
- Embeddings
- FAISS
- ChromaDB
- Pinecone Basics
Retrieval-Augmented Generation (RAG)
- Document Loading
- Chunking
- Embedding Documents
- Semantic Search
AI Agents
- Autonomous AI Agents
- Tool Calling
- Task Automation
- Multi-Agent Systems
Building AI Applications
- AI Chatbots
- Document Q&A Systems
- Content Generation
- AI Assistants
Deployment
- Streamlit
- FastAPI
- Docker Basics
- Cloud Deployment
Final Projects
- AI Customer Support Chatbot
- PDF Question Answering System
- AI Resume Analyzer
- Enterprise Knowledge Assistant
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 1000 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
Course Highlights
This hands-on program covers Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, LangChain, Hugging Face, OpenAI APIs, and AI application deployment.
Throughout the course, learners will gain practical experience by developing real-world AI solutions such as AI chatbots, document question-answering systems, AI assistants, content generators, resume analyzers, and workflow automation tools.
. By the end of the program, participants will have the skills required to design, build, and deploy modern AI applications, preparing them for high-demand careers in Generative AI and LLM development in **Geneva**. The **Generative AI & LLM Development** course in **Geneva** is designed for students, software developers, IT professionals, and AI enthusiasts who want to build intelligent AI-powered applications using the latest Generative AI technologies. 
