Generative Ai Using Azure Openai Service For Beginners
Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.35 GB | Duration: 3h 24m
Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.35 GB | Duration: 3h 24m
Unlock the Future of AI using the powerful OpenAI models in the secured and reliable Azure Cloud
What you'll learn
Understand the fundamentals of AI,Generative AI and OpenAI API
Learn how to use ChatGPT and Prompt Engineering
Setup Azure OpenAI account
Understand Azure OpenAI quotas and pricing
Deploy Azure OpenAI service
Learn how to use the Azure OpenAI Studio to deploy LLMs
Test your models using the Playground
Access the model from Postman
Use the models from your Python Code through APIs
Deploy your tested models as a Web Application
Use DALL-E studio to generate images
Create Images From your python code using APIs
Understand what text embeddings are and deploy the Embedding Models
Generate Embeddings and find Similarity between words and sentences
Use Whisper AI model to generate text from audio
Translate audio from other languages to english
Use audio and text models together
Master using your own data with the models
Understand how keyword and vector search works
Use cognitive search
Learn how to secure your chatbots
Understand what Fine Tuning is and work on a usecase
Use Content Filters
and more in simple steps
Requirements
Basic Knowledge of Azure Cloud and Python Programming
No AI experience is needed
Description
Imagine being at the forefront of a revolution, where cutting-edge AI models like ChatGPT and DALL-E join forces with the secure and reliable infrastructure of Azure to redefine what's possible. This isn't just a course; it's your key to unlocking a new era of AI-powered innovation.The first course to cover Text,Image,Audio models,Using your own data and Fine Tuning in Azure OpenAI Service. What Awaits You in this Groundbreaking Course: Master Azure OpenAI: Dive deep into the heart of AI brilliance as you explore the limitless potential of ChatGPT , DALL-E, Whisper,Embeddings and more. Hands-On Learning: Get your hands dirty with Azure OpenAI Studio, Postman for testing API magic, and use the models from you python applications. Exclusive Azure Access: Azure is the exclusive gateway to OpenAI models, backed by Microsoft's significant investment in OpenAI and it is just the beginning. This course will show you how to make the most of this powerful combination. Advanced Topics: From the basics to the most advanced concepts like Fine Tuning, this course is your all-in-one ticket to becoming an Generative AI expert.From this course you will:Understand the fundamentals of AI, Generative AI and OpenAI APILearn how to use ChatGPT and Prompt EngineeringSetup Azure OpenAI accountUnderstand Azure OpenAI quotas and pricingDeploy Azure OpenAI serviceLearn how to use the Azure OpenAI Studio to deploy LLMsTest your models using the PlaygroundAccess the model from PostmanUse the models from your Python Code through APIsDeploy your tested models as a Web ApplicationUse DALL-E studio to generate imagesCreate Images From your python code using APIsUnderstand what text embeddings are and deploy the Embedding ModelsGenerate Embeddings and find Similarity between words and sentencesUse Whisper AI model to generate text from audioTranslate audio from other languages to englishUse audio and text models togetherMaster using your own data with the modelsUnderstand how keyword and vector search worksUse cognitive searchLearn how to secure your chatbotsUnderstand what Fine Tuning is and work on a usecaseUse Content Filtersand more in simple steps
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 How to make the best of this course
Lecture 3 Github Url
Section 2: The Fundamentals
Lecture 4 What is AI
Lecture 5 What is Generative AI
Lecture 6 What is OpenAI
Section 3: ChatGPT Crash Course
Lecture 7 Introduction
Lecture 8 ChatGPT in action
Lecture 9 Prompt Engineering
Lecture 10 Summarize
Lecture 11 Expand
Lecture 12 Research and Plan
Lecture 13 Code
Lecture 14 Classification
Lecture 15 Market
Lecture 16 Translate
Lecture 17 Conditional Prompts
Lecture 18 Structured Output
Lecture 19 Sample Data
Section 4: Azure OpenAI Service
Lecture 20 What is Azure OpenAI Service
Lecture 21 Setup Azure OpenAI Service Account
Lecture 22 Deploy Azure OpenAI Service
Section 5: Text Processing
Lecture 23 Azure OpenAI Studio
Lecture 24 Deploy the model
Lecture 25 Access the model from Playground
Lecture 26 Setup PyCharm and Postman
Lecture 27 Access API from PostMan
Lecture 28 Pass Parameters
Lecture 29 Setup Python Project
Lecture 30 Configure API Key
Lecture 31 Access API Programatically
Lecture 32 Get Multiple Responses
Lecture 33 Deploy as WebApp
Lecture 34 Completions Play Ground
Lecture 35 Content Filters
Lecture 36 Content Filtering in Action
Section 6: Using Image Models
Lecture 37 Introduction
Lecture 38 Using DALL-E in studio
Lecture 39 Using DALL-E API
Section 7: Embeddings
Lecture 40 Introduction
Lecture 41 Deploy a Embeddings Model
Lecture 42 Generate Embeddings
Lecture 43 Finding Similarity
Section 8: Audio
Lecture 44 Introduction
Lecture 45 Deploy Azure OpenAI Service
Lecture 46 Deploy Models and Update Key
Lecture 47 Whisper Playground
Lecture 48 Transcribe
Lecture 49 Translate
Lecture 50 Mix Models
Section 9: Using Your Own Data
Lecture 51 Introduction
Lecture 52 Cognitive Search
Lecture 53 Ingestion
Lecture 54 Usecase
Lecture 55 Create the required resources
Lecture 56 Use Keyword Search
Lecture 57 Use Hybrid Search
Lecture 58 Clean Up Resources
Section 10: Fine Tuning
Lecture 59 Introduction
Lecture 60 Use Case and Data
Lecture 61 Deploy Azure OpenAI Service
Lecture 62 Fine Tuning from Studio
Lecture 63 Python Code WalkThrough
Lecture 64 Fine Tuning Using API
Lecture 65 Clean Up
Anyone who want to master Azure OpenAI AI,Any developer curious about Azure OpenAI and OpenAI APIs,Students who have completed my Python For Beginners course