10 hours ago
Generative Ai With Llms: Project With Python And Fastapi
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.72 GB | Duration: 4h 39m
Learn how to create multimodal AI solutions with LLMs, using Python and FastAPI, for practical and applicable projects.
[b]What you'll learn[/b]
Master building modern APIs with FastAPI to integrate LLMs and create scalable and robust solutions.
Learn how to use Python + OpenAI to develop practical Multimodal Generative Artificial Intelligence applications.
Create chatbots, image generators and voice systems using Generative AI applied to real-world projects with the OpenAI API
Understand the operation and implementation of Large Language Models (LLMs) to solve complex problems with AI.
Gain practical skills that accelerate your IT career, positioning you as an expert in AI solutions.
[b]Requirements[/b]
Basic knowledge of Python is recommended, but not mandatory. We will explain fundamental concepts throughout the course.
Must have a computer with internet access and a code editor (such as VS Code) to follow the examples
Curiosity and desire to learn how to build practical Generative AI solutions and modern APIs.
[b]Description[/b]
In this course, you will master creating Multimodal Generative Artificial Intelligence solutions using Large Language Models (LLMs), Python and the FastAPI framework. We will explore everything from fundamental concepts to the practical construction of modern APIs and AI applications that integrate different modalities, such as text, voice and vision.This course is designed for professionals who want to master the creation of Multimodal Generative Artificial Intelligence solutions. Focusing on Large Language Models (LLMs), and using FrameWork FastAPI.Throughout the course, you will learn:How to work with LLMs and connect Generative AI with Python.Using FastAPI to create fast, secure, and scalable APIs.The construction of multimodal applications, such as chatbots, image generators and text-to-speech transcription (TTS and STT).Implementation of practical, real-world projects that apply AI to solve real-world problems.All this with OpenAI.We will explore from basics to advanced, always with a practical approach, so that you can implement real projects that make a difference in the market. If you are looking to highlight your career and enter the world of AI with robust solutions, this course is for you.This course is ideal for developers, data scientists and enthusiasts who want to learn how to create innovative and relevant solutions in the job market.Start now and be ahead in the field of Multimodal Generative AI!
Overview
Section 1: Technologies to use
Lecture 1 What will be our project + LLMs
Lecture 2 FastAPI - getting started
Section 2: Creating the development environment
Lecture 3 LLMs and how it connects to Python
Lecture 4 PIP - Understanding how to install, update and remove software packages
Lecture 5 ENV - Virtual Environment on Python
Lecture 6 Activating the script - Via Power Shell
Section 3: Our first LLMs application
Lecture 7 OpenAI - Main Methods and Classes
Lecture 8 Open AI - API key
Lecture 9 Building AI apps and services with OpenAI API
Section 4: Creating back-end applications with FastAPI
Lecture 10 Welcome to the FastAPI Framework
Lecture 11 Uvicorn: Turning your machine into a Web server
Lecture 12 First website with FastAPI
Lecture 13 Defining Routers in FastAPI
Lecture 14 Creating routes in practice
Section 5: Creating the complete application - LLMs + FastAPI
Lecture 15 What services (apps) we are going to do
Lecture 16 Chat Bot app
Lecture 17 Creating the environment variable in Python
Lecture 18 Finalizing Chat Bot app
Lecture 19 Creating Content Moderation app
Lecture 20 Creating Vision app (image generator)
Lecture 21 Working with files over HTTP
Lecture 22 Creating Text to Speech app - TTS
Lecture 23 A little more Python: BytesIO class
Lecture 24 Creating Transcription app - STT
Lecture 25 Creating TTS app - Whisper
IT developers who want to learn how to create Generative and Multimodal AI solutions.,Python beginners interested in entering the world of applied Artificial Intelligence.,Data scientists and technology professionals looking to integrate AI into real projects.,AI enthusiasts who want to explore LLMs and learn how to build scalable APIs with FastAPI.