Overview
Overview of Generative AI and Large Language Models with real-world applications Learn how to effectively interact with LLMs using prompts Integration of LLMs using APIs Build a complete AI chatbot using learned concepts Build intelligent systems using Retrieval-Augmented Generation for real applications
Our Trainers
Vishwas Soni
Vishwas soni
Samatrix consulting pvt ltd.
Gurugram Haryana
Expertise Domain: Data analysis, ML , DL , GanAI
Power BI
Experience: Industry 8 years
Academic 3 years
Modules
1.What is GenAI Introduction to LLMs Use cases (ChatGPT, Gemini) AI Trends Tools Overview
2. Prompt Basics Zero-shot & Few-shot Prompt Optimization Hands-on with 4
3.OpenAI API Basics API Key Setup Python Integration Text Generation Mini Project ChatGPT AI Productivity Tools 2.
4. What is RAG Vector Databases LangChain Basics AI Agents Intro Chatbot Workflow
5. End-to-End Chatbot Document Upload Query Handling UI Integration Final Demo
Outcomes
- Create a Complete Chatbot: Students will build an end-to-end intelligent system capable of document uploads and sophisticated query handling.
- UI Integration: Students will learn to integrate the AI backend with a user interface for a final, functional demo.
- Productivity Boost: Students will have a working knowledge of various AI tools to enhance professional workflows
