Azure Generative (OpenAI) + Predictive AI (2…

NOTE: This course is only for people interested in learning "Microsoft Azure OpenAI service". If you are looking for open source version of OpenAI, then this course should not be on your wish list.

This course covers all the key concepts related to Azure OpenAI. Be it function calling or something as small as knowing how your engine processes tokens, the course has it all covered. In this course you will learn about concepts such as temperature parameter, token parameter, adding external API's to Azure Open AI function calling, integrating other Azure services such as the Azure Speech Service with Azure Open AI to make your engine/ model more efficient and powerful. This course is tailored in a very concise and short manner, providing you with only the important stuff so that your time is well-spent. This course will act as a bridge to your journey in being a master at using Azure Open AI and its offerings. Although this course is short, the course assures that you get your money's worth

Course Level: The course goes all the way up from level 0 to level 100; Don't know what's the basic difference between Azure OpenAI and OpenAI, don't worry, the course's got your back.

Hand-On Labs: The hands-on labs in the course are very enriching. You will be provided with a github repository which will contain all the codes for the hands-on labs covered in this course. The hands-on labs offered in this course cover a variety of topics including:

1) Chat Completions API.

2) Making use of text embedding engine for enhanced machine learning processes.

3) integrating speech-to-text token query retrieval in your chat engine.

4) making use of function calling functionality exclusive to Azure Open Ai to call an external API to retrieve real-time information/data.

5) Exploring concept of RAG (Retrieval Augmented Generation) by integrating Azure Ai Search with your chat engine.

6) Using Vector search and information retrieval using Azure Machine Learning Workspace.

7) Using GPT-4 using Computer Vision.

Bonus Section: A bonus section that includes GitHub Copilot has been made available with this course as well. Concepts like multi language support, @VScode agent, @workspace agent and code debugging have been explained in depth.

Prerequisites: knowledge about Python programming language and basic command line interface commands makes up for the prerequisites for the course.

Buy this course and get ready to embark on a journey full of brilliant learning.

What's inside

Learning objectives

Learn about the fundamentals of azure openai
Learn to integrate other azure services with azure openai
Learn about generative ai
Becoming good at prompt engineering

Learn predictive ai (ai-102)
Learn about github copilot
Learn about securing azure openai

Learn about the fundamentals of azure openai
Learn to integrate other azure services with azure openai
Learn about generative ai
Becoming good at prompt engineering
Learn predictive ai (ai-102)
Learn about github copilot
Learn about securing azure openai

Syllabus

Introduction

Instructor Introduction

a brief introduction about what the course goals are and what the course is going to cover

Prerequisites

basic software download and other stuff walkthrough

Cloud Technology is a costly affair and we all know it. So following are the bullet points to keep in mind to minimize your chances of making unwanted losses.

1)Always delete the resource group and the resource immediately after your work gets over. It always pains me to remember the fact that I once incurred a loss of nearly $1000 after keeping my AI search resource undeleted for a week (fortunately I had to pay only 10 percent of the total bill according to Microsoft's one-time refund policy).

2)Always have a look at the price calculator before using a resource.

3)Fine-Tuning your azure OpenAI chat engine is costly as hell. I incurred a loss of $1000 because of this ,which again, fortunately, was waived off as a result of Microsoft's one-time refund policy (I had to pay only 10% of the total billing amount). I would suggest watching the Fine-Tuning video in this course only for educational intent unless and until you want to fine-tune your model for actual project work.

4)Take periodic looks and keep a track of your cost management in your azure subscription by going to the "cost management + billing" tab.

Creating an Azure OpenAI resource in your Azure portal account

learn about how to deploy a model of your choice

master the art of prompt engineering

tips to refine your prompt engineering skills

learn how you can control your engine responses with help of the "temperature" parameter

learn about "ChatCompletions" API and its significance

learn how to use the Chat Completions API to get a response to your query from your engine

learn what makes Azure OpenAI have an upper edge

Continuation of the fundamental differences between Azure OpenAi and OpenAi. Understanding why Azure OpenAi stands out from the crowd

learn about the basics of Open AI

understanding what is function calling using Azure OpenAI.

master the art of function calling with Azure OpenAI

combining azure cognitive search solution with Azure Open Ai to create a very powerful document analyzer

Fine-Tuning your custom model using your own training dataset for refined responses

A Demo of How You Can Fine-Tune your own custom model

Evaluating the performance of your custom model on the basis of your custom training dataset

a lab where you learn to integrate Azure Speech service with Azure OpenAI

learning to use Azure OpenAI's text embedding engine

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops generative AI skills, which are highly relevant in industry

Develops prompt engineering skills, which are core skills for generative AI

Taught by Kuljot Singh Bakshi, who are recognized for their work in Azure OpenAI

Develops predictive AI (AI-102) skills, which are core skills for data analysts and data scientists

Examines generative AI, which is highly relevant to data analysts, data scientists, ML engineers, and AI researchers

Offers hands-on labs and interactive materials, which are useful for reinforcing learning

Reviews summary

Azure ai: comprehensive & practical hands-on

According to learners, this course is a highly practical and comprehensive dive into Azure Generative and Predictive AI. Students consistently praise the extensive hands-on labs for providing real-world application of concepts like Azure OpenAI, RAG, and GPT-4o. The instructor's clear explanations and the course's up-to-date content are frequently highlighted. While largely positive, some learners note the fast pace in certain sections and suggest that deeper dives into advanced topics could enhance the experience for some. The course also proactively addresses potential Azure costs.

Warnings about the costs associated with Azure services are provided.

"The fine-tuning section was good but very costly as warned."

"The cost warnings were appreciated, but it still makes hands-on practice challenging for learners without credits."

"I appreciate the explicit warnings about potential Azure cloud costs, which helped me manage my resources better."

Course content is regularly updated with the latest AI technologies.

"Fantastic course! The latest updates, especially around GPT-4o, are highly relevant."

"I appreciate that the course keeps pace with the rapidly evolving Azure AI landscape, incorporating new models."

"It's great to see content on new models like GPT-4o being added, ensuring the course remains relevant."

Instructor effectively explains complex Azure AI concepts.

"The instructor explains complex topics clearly. Highly recommend for anyone looking to master Azure AI!"

"Instructor is knowledgeable and the course truly lives up to its 'level 0 to 100' claim."

"The instructor's deep knowledge shines through, making it a gem for professionals."

"I found the explanations to be very clear, making challenging topics easier to grasp."

Covers a wide array of essential Azure AI concepts and services.

"This course is incredibly thorough and practical. The instructor explains complex topics clearly."

"Excellent deep dive into Azure OpenAI. The explanation of function calling and Whisper model integration was top-notch."

"A comprehensive course on Azure AI. I learned a lot about integrating various Azure services."

"I found the course covered everything from fundamentals to advanced topics like RAG and Semantic Kernel effectively."

Provides practical experience with real-world Azure AI scenarios.

"The hands-on labs for Azure OpenAI and GPT-4 integration were particularly useful..."

"The practical examples were key. I now feel confident working with Azure OpenAI."

"The hands-on labs are great for real-world scenarios. Very clear explanations and practical."

"I learned how to use practical tools and strategies that I could apply immediately to my work."

Pacing can be fast, impacting depth for some learners.

"Sometimes the pace was a bit fast, and I found myself rewatching videos."

"While the course covers many topics, it felt a bit rushed in some areas. As an experienced AI engineer, I found some parts too basic..."

"The course has a lot of content, but it feels like a collection of topics rather than a cohesive learning path."

"I wish some advanced topics were covered in more depth, as I felt they were quickly glossed over."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Azure Generative (OpenAI) + Predictive AI (23+ Hours) with these activities:

Azure OpenAI Study Group

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Join forces with fellow learners to establish a study group dedicated to Azure OpenAI, where you can share knowledge, engage in discussions, and reinforce your understanding of key concepts.

Browse courses on Azure OpenAI

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Find a Group of Interested Learners
Establish a Regular Meeting Schedule
Assign Roles and Responsibilities
Prepare Study Materials and Discussion Topics

Azure AI Community Contribution

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Engage with the vibrant Azure AI community by volunteering your time to contribute to open-source projects, support forums, and assist other learners.

Browse courses on Azure OpenAI

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Identify Ways to Contribute to the Community
Join Azure AI Community Forums
Contribute to Open-Source Projects
Lead or Host Community Events

Using ChatGPT to Get Started with Azure OpenAI

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This tutorial will help you become familiar with the basics of Azure OpenAI and get started using ChatGPT.

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Sign up for an Azure OpenAI account
Create a new ChatGPT instance
Send a message to your ChatGPT instance
Explore the different features of ChatGPT

Nine other activities

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Azure OpenAI Mentorship Program

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This mentorship program will connect you with an experienced Azure OpenAI expert who can help you learn and grow.

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Apply to the Azure OpenAI Mentorship Program
Meet with your mentor and discuss your goals
Work with your mentor to develop a learning plan
Meet with your mentor regularly to discuss your progress

Azure OpenAI Meetup

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This meetup will provide you with an opportunity to network with other Azure OpenAI users and learn from experts.

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Find an Azure OpenAI meetup in your area
Register for the meetup
Attend the meetup and participate in the discussions
Follow up with the people you meet

Code Gist Practice

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This hands-on activity allows you to develop your skills in using Microsoft Azure's Chat Completions API to build a more robust chat engine.

Browse courses on Prompt Engineering

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Fork the Provided Code Repository
Configure Your Azure Account and Obtain a Subscription Key
Implement the Chat Completions Functionality
Test Your Chat Engine Using Postman
Explore Additional Code Gists for Extended Functionality

GitHub Copilot Hands-On

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Participate in this comprehensive tutorial to master the powerful features of GitHub Copilot, empowering you to enhance your coding proficiency.

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Install GitHub Copilot in Your Preferred Code Editor
Familiarize Yourself with Copilot's Interface and Functionality
Utilize Copilot for Code Auto-Completion and Suggestion Generation
Explore Copilot's Advanced Features

Azure OpenAI Chatbot Challenge

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This challenge will test your knowledge of Azure OpenAI and help you improve your skills in using ChatGPT.

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Answer a series of questions about Azure OpenAI and ChatGPT
Receive feedback on your answers and learn from your mistakes
Repeat the challenge until you achieve a perfect score

Vector Search and Information Retrieval Hackathon

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Engage in a collaborative workshop where you will harness Azure Machine Learning Workspace to implement vector search and information retrieval techniques, ultimately creating a fully functional application.

Browse courses on Vector Search

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