Google Gemini AI with Python API – Quick Start

Google Gemini AI with Python API – Quick Start, available at Free, has an average rating of 4.57, with 11 lectures, based on 518 reviews, and has 20799 subscribers.

You will learn about Understand Gemini AI Fundamentals: Grasp core principles, architecture, and applications of Large Language Models. Learn Text Generation: Acquire skills for generating coherent, contextually relevant AI text with nuanced tone and style. Comprehend Chat Models: Gain in-depth knowledge of chat model mechanics and learn customization techniques. Discover Configuration Optimization: Uncover and master critical Gemini AI configuration parameters for optimal performance. Identify Multimodal Integration: Recognize methods for integrating and analyzing visual and textual data using Gemini Vision. Create Vector Embeddings: Develop solutions using vector embeddings to capture semantic relationships in data. Explore RAG: Delve into Retrieval Augmented Generation, understanding how to dynamically incorporate external knowledge. Build AI Applications: Combine skills to design, develop, and deploy innovative AI applications using Gemini AI Python API. This course is ideal for individuals who are Python developers looking to learn about the latest Gemini AI Python API from Google It is particularly useful for Python developers looking to learn about the latest Gemini AI Python API from Google.

Enroll now: Google Gemini AI with Python API – Quick Start

Summary

Title: Google Gemini AI with Python API – Quick Start

Price: Free

Average Rating: 4.57

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand Gemini AI Fundamentals: Grasp core principles, architecture, and applications of Large Language Models.
Learn Text Generation: Acquire skills for generating coherent, contextually relevant AI text with nuanced tone and style.
Comprehend Chat Models: Gain in-depth knowledge of chat model mechanics and learn customization techniques.
Discover Configuration Optimization: Uncover and master critical Gemini AI configuration parameters for optimal performance.
Identify Multimodal Integration: Recognize methods for integrating and analyzing visual and textual data using Gemini Vision.
Create Vector Embeddings: Develop solutions using vector embeddings to capture semantic relationships in data.
Explore RAG: Delve into Retrieval Augmented Generation, understanding how to dynamically incorporate external knowledge.
Build AI Applications: Combine skills to design, develop, and deploy innovative AI applications using Gemini AI Python API.

Who Should Attend

Python developers looking to learn about the latest Gemini AI Python API from Google

Target Audiences

Python developers looking to learn about the latest Gemini AI Python API from Google

Gemini AI with Python – Quick Start

Unlock the Power of Gemini AI: Your Gateway to Cutting-Edge Language and Vision Models

Welcome to “Gemini AI with Python – Quick Start,” your comprehensive guide to mastering the revolutionary Gemini AI Python API by Google. Dive into the realm of advanced AI and learn to leverage the full potential of Large Language Models (LLMs) with this free Udemy course. Whether you’re a seasoned developer, a budding data scientist, or simply an AI enthusiast, this course is your ticket to understanding and implementing the transformative capabilities of Gemini AI.

Why Choose This Course?

Expert-Led Insights: Learn from an industry expert who have hands-on experience with Gemini AI and are passionate about sharing their knowledge.
Hands-On Learning: Engage with practical, real-world examples and interactive coding sessions that solidify your learning and confidence.
Flexible Learning Path: Designed for your convenience, access the content anytime, anywhere, and progress at your own pace.

What does this course cover?

Introduction to Gemini AI & LLMs:
- Understand the architecture and capabilities of Gemini AI.
- Demystify how Large Language Models work and their applications in today’s tech landscape.
Mastering Text Generation:
- Harness the power of Gemini AI to create compelling and coherent text.
- Explore the nuances of tone, style, and context in AI-generated content.
Deep Dive into Chat Models:
- Learn the mechanics behind state-of-the-art chat models.
- Understand how to fine-tune models for personalized conversational agents.
Configuring Gemini AI:
- Get to grips with the essential configuration parameters.
- Learn how to optimize your AI model’s performance and accuracy.
Gemini Vision: Multimodal Inputs Unleashed:
- Explore the integration of visual data with NLP.
- Learn to process and analyze images alongside text, opening new dimensions for AI applications.
Decoding Vector Embeddings:
- Understand the concept of vector embeddings in representing text and images.
- Master techniques to capture semantic relationships and nuances in data.
RAG: Retrieval Augmented Generation:
- Dive into the advanced concept of RAG.
- Learn how to enhance AI responses by integrating external knowledge sources dynamically.

Who Is This Course For?

Developers looking to integrate advanced AI features into their applications.
Data scientists aiming to expand their expertise in AI and machine learning.
AI enthusiasts and hobbyists eager to explore the latest technologies from Google.

Enroll Now for Free!

Empower yourself with the skills to shape the future. Join our community of learners and pioneers on a journey to the forefront of AI technology. Enroll in “Gemini AI with Python – Quick Start” today and transform your ideas into reality!

Course Curriculum

Chapter 1: Course Overview and Downloads

Lecture 1: Course FAQ and DOWNLOAD FILES HERE

Lecture 2: Course Curriculum Overview

Chapter 2: Understanding LLMs and API Access Set-up

Lecture 1: How Gemini LLM Works

Lecture 2: Getting Google Gemini API Access

Chapter 3: Text Generation – Text, Chat, and Configuration Parameters

Lecture 1: Text Generation

Lecture 2: Chat Model – Messages and Chat History

Lecture 3: Understanding Configuration Parameters

Chapter 4: Gemini Vision

Lecture 1: Google Gemini Vision with Python

Chapter 5: RAG – Retrieval Augmented Generation with Google Gemini

Lecture 1: Understanding RAG – Retrieval Augmented Generation

Lecture 2: RAG with the Python API – Part One

Lecture 3: RAG with the Python API – Part Two

Instructors

Jose Portilla
Head of Data Science at Pierian Training

Rating Distribution

1 stars: 2 votes
2 stars: 5 votes
3 stars: 23 votes
4 stars: 160 votes
5 stars: 328 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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