Google Gemini AI with Python API - Quick Start

Description

In this course, you will :

• Understand Gemini AI Fundamentals: Learn about the essential principles, architecture, and applications of Large Language Models.
• Learn how to generate coherent, contextually relevant AI text with a sophisticated tone and style.
• Understanding Chat Models: Learn about the mechanics of chat models and how to customize them.
• Discover Configuration Optimization: Identify and master important Gemini AI configuration parameters for peak performance.
• Identify multimodal integration. Recognize ways for integrating and analysing visual and textual data with Gemini Vision.
• Create Vector Embeddings: Use vector embeddings to represent semantic links in data.
• Explore RAG. Explore Retrieval Augmented Generation and learn how to dynamically incorporate external knowledge.
• Create AI apps: Utilize your abilities to design, create, and deploy creative AI apps utilizing the Gemini AI Python API.

Syllabus:

• Understanding LLMs and API Access Set-up
• Text Generation - Text, Chat, and Configuration Parameters
• Gemini Vision
• RAG - Retrieval Augmented Generation with Google Gemini