Develop GenAI Apps with Gemini and Streamlit Training

Live Online & Classroom Enterprise Training

Learn how to build real-world Generative AI applications using Gemini models and Streamlit. This course covers prompt engineering, API integration, UI development, and deployment of AI-powered apps.

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What is Develop GenAI Apps with Gemini and Streamlit Course about?

This course provides a hands-on introduction to building Generative AI applications using Gemini and Streamlit. You will learn how to integrate Gemini APIs, design intelligent prompts, create interactive user interfaces, and deploy scalable GenAI solutions. By the end of the course, you will be able to develop production-ready AI applications for business and innovation use cases.

What are the objectives of Develop GenAI Apps with Gemini and Streamlit Course ?

Understand fundamentals of Generative AI and Gemini models
Integrate Gemini APIs into Python applications
Build interactive AI apps using Streamlit
Implement prompt engineering techniques
Deploy and manage GenAI applications

Who is Develop GenAI Apps with Gemini and Streamlit Course for?

Python Developers
AI/ML Engineers
Data Scientists
Cloud Application Developers
Technical Architects

What are the prerequisites for Develop GenAI Apps with Gemini and Streamlit Course?

Prerequisite:

Basic Python programming knowledge
Understanding of APIs and REST services
Basic knowledge of Machine Learning concepts
Familiarity with web app concepts

Basic command line usage

Learning Path:

Introduction to Generative AI and Gemini
Prompt Engineering Fundamentals
Gemini API Integration with Python
Building Apps using Streamlit
Deploying and Scaling GenAI Applications

Related Courses:

Introduction to Generative AI
Prompt Engineering for Developers
Building AI Apps with Python
MLOps Fundamentals

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Gemini and Streamlit

Overview of Gemini API and its capabilities

Introduction to Streamlit for building web applications

Setting up the development environment

Module 2: Text Generation with Gemini API

Understanding text generation concepts

Implementing text generation using Gemini API

Handling function calls with the Python SDK

Module 3: Building Streamlit Applications

Creating interactive web applications with Streamlit

Integrating Gemini API into Streamlit apps

Testing applications in Cloud Shell

Module 4: Deploying Applications with Cloud Run

Containerizing Streamlit applications using Docker

Deploying applications to Cloud Run

Managing and scaling deployed applications

Who is the instructor for this training?

The trainer for this Develop GenAI Apps with Gemini and Streamlit Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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