Building Gen AI App 12+ Hands-on Projects with Gemini Pro
Год выпуска: 6/2024
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/building-gen-ai-app-end-to-end-projects-with-gemini-pro/
Автор: Krish Naik
Продолжительность: 15h 48m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Unlock the power of generative AI with our comprehensive course on building applications using Google Gemini Models! Whether you're a beginner or an experienced AI enthusiast, this course is designed to take you through the fundamentals and advanced techniques of using Google Gemini, Gemini Pro, Gemini Flash, and Gemini Pro 1.5 models.
What You Will Learn:
Introduction to Google Gemini Models:
- Dive deep into the architecture, features, and capabilities of Google Gemini models.
- Understand the unique strengths of Gemini Pro, Gemini Flash, and Gemini Pro 1.5.
Model Training and Fine-Tuning:
- Gain hands-on experience with training and fine-tuning these powerful models.
- Learn techniques to optimize performance for various generative AI tasks.
Application Development:
- Develop practical skills to build diverse generative AI applications such as text generation, image synthesis, and language translation.
- Explore real-world examples and projects to solidify your understanding.
Integration and Deployment:
- Learn how to seamlessly integrate Google Gemini models into your existing systems.
- Master the deployment of AI applications in cloud-based and on-premise environments.
Ethics and Best Practices:
- Understand the ethical considerations and best practices in generative AI development.
- Implement responsible AI principles to ensure fairness, transparency, and accountability.
Содержание
Welcome to the Course
01:18
Course Materials
00:05
Getting Started With Vs Code
10:36
Python Basics-Syntax And Semantics
20:17
Variables In Python
18:55
Basics Data Types In Python
09:52
Operators In Python
16:17
Conditional Statements(if,elif,else)
21:03
Loops In Python
28:03
Lista And List Comprhrension
37:07
Practical Examples Of List
09:50
Tuples In Python
22:34
Dictionaries In Python
38:19
Getting Started With Functions
24:21
More Examples For Functions
28:03
Lambda Function
09:44
Map Function In Python
11:08
Filter Function In Python
09:00
Import Modules And Packages In Python
17:06
Standard Library Overview
17:44
File Operation With Python
17:07
Working With File Paths
08:43
Exception Handling With Try Except Finally else blocks
25:00
Classes And Objects In Python
22:55
Inheritance In OOPS
19:00
Polymorphism In OOPS
19:08
Encapsulation In OOPS
22:12
Abstraction In OOPS
09:09
Magic Methods In Python
08:03
Operator Overloading In Python
08:32
Custom Exception Handling
07:05
Introduction To Google Gemini Models And Its Variants
05:13
Creating Free API Keys For Google Gemini Models
06:57
Exploring All Google Gemini Models Variants With Practical Demo
16:49
What is Generative AI
12:28
Building End to End LLM and Large image model application using Gemini pro
25:37
Step by Step Tutorial to Create Conversational Q&A Chatbot using Gemini Pro
14:19
End to End Multi Language Invoice Extractor Project using Gemini Pro LLM Model
25:29
Chat With multiple Pdf Documents with Langchain and Google Gemini Pro
29:11
End To End Document Q&A Using Google Gemma,Groq API
32:58
End to End Text to SQL LLM App along with Quering SQL database using Gemini Pro
29:31
End To End Resume Application Tracking System(ATS) Using Google Gemini Pro Visio
33:58
Modified End To End Resume ATS Tracking LLM Project With Google Gemini Pro
15:59
End to End Nutritionist Generative AI Doctor Using Google Gemini Pro Vision
19:18
End To End Youtube Video Transcribe Summarizer LLM App With Google Gemini Pro
25:40
Building YT Videos To Blog Creator AI Agents Using CrewAI And OpenAI
32:41
News Reporter AI Agent Using CrewAI With Google Gemini Pro Models
27:28
What is Quantization-Theoretical Intuition
32:43
LORA And QLORA Indepth Intuition
22:05
Finetuning With Custom Data Using Google Gemma Models
22:03
Keep On Exploring
00:08
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, ~2600kbps
Аудио: AAC, 48kHz, 128kbps, stereo
