Generative AI-Beginner to Pro with OpenAI Azure OpenAI

Generative AI:Beginner to Pro with OpenAI & Azure OpenAI, available at $44.99, has an average rating of 4.54, with 186 lectures, 6 quizzes, based on 227 reviews, and has 1542 subscribers.

You will learn about AI Concepts & Workloads Machine Learning Foundations Types of Machine Learning Demo Lab on Machine Learning Deep Learning Foundations Types of Deep Learning Demo Lab on Deep Learning Generative AI Foundations Embeddings Vs Vector Databases AI Infrastructure OpenAI / ChatGPT / APIs Azure OpenAI Bring Your Own Data – RAG with Azure AI Search Azure OpenAI Fine Tuning Azure OpenAI Content Filtering Azure OpenAI – IAM / RBAC Model Azure OpenAI – Making API Calls (Python Codes) Assistants API Assistants API – Code Interpreter (Python Code) Assistants API – Function Calling This course is ideal for individuals who are Beginners to Generative AI or Beginners to OpenAI / ChatGPT / Azure OpenAI It is particularly useful for Beginners to Generative AI or Beginners to OpenAI / ChatGPT / Azure OpenAI.

Enroll now: Generative AI:Beginner to Pro with OpenAI & Azure OpenAI

Summary

Title: Generative AI:Beginner to Pro with OpenAI & Azure OpenAI

Price: $44.99

Average Rating: 4.54

Number of Lectures: 186

Number of Quizzes: 6

Number of Published Lectures: 159

Number of Published Quizzes: 6

Number of Curriculum Items: 192

Number of Published Curriculum Objects: 165

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

AI Concepts & Workloads

Machine Learning Foundations

Types of Machine Learning

Demo Lab on Machine Learning

Deep Learning Foundations

Types of Deep Learning

Demo Lab on Deep Learning

Generative AI Foundations

Embeddings Vs Vector Databases

AI Infrastructure

OpenAI / ChatGPT / APIs

Azure OpenAI

Bring Your Own Data – RAG with Azure AI Search

Azure OpenAI Fine Tuning

Azure OpenAI Content Filtering

Azure OpenAI – IAM / RBAC Model

Azure OpenAI – Making API Calls (Python Codes)

Assistants API

Assistants API – Code Interpreter (Python Code)

Assistants API – Function Calling

Who Should Attend

Beginners to Generative AI

Beginners to OpenAI / ChatGPT / Azure OpenAI

Target Audiences

Beginners to Generative AI

Beginners to OpenAI / ChatGPT / Azure OpenAI

Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.

The course will present you with a foundational understanding of AI. The course has several modules where you will be explained basic concepts around AI, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs) , ChatGPT , Azure Open AI

Course Description:

Unlock the power of Artificial Intelligence with this comprehensive course designed to take you from foundational concepts to advanced applications. Whether you are a beginner or an experienced professional, this course will guide you through the intricacies of AI, Machine Learning, Deep Learning, and Generative AI. You’ll also gain hands-on experience with OpenAI, Azure OpenAI, and fine-tuning models. Perfect for developers, data scientists, and AI enthusiasts.

What You Will Learn:

1. AI Concepts & Workloads

What is AI?

Benefits of Artificial Intelligence (AI)

Types of AI Workloads

AI vs ML vs DL

Quiz: AI Concepts

2. Machine Learning

Real-World Examples of Machine Learning

Key Terminologies in Machine Learning

What is Machine Learning?

Types of Machine Learning

Supervised Machine Learning: Classification and Regression

Unsupervised Machine Learning

Reinforcement Learning

Introduction to Jupyter Notebook

Demos:

Understanding the IRIS Dataset

Creating & Training Your ML Model

3. Deep Learning

What is Deep Learning?

Understanding Neural Networks

Deep Learning Models and Transformer Models

Demos:

GANs and Deep Fake Video Creation

Creating & Training Deep Learning Models

4. Generative AI

What is Generative AI?

Predictive AI vs Generative AI

Overview of GPT, GPT-3, and GPT-4

Large Language Models (LLM)

Embeddings and Vector Databases

Introduction to Prompt Engineering

5. AI Infrastructure

Understanding GPUs vs CPUs

What is High-Performance Computing?

RDMA Cluster Networks

Demo: CPU vs GPU Performance

6. OpenAI

What is OpenAI?

Understanding ChatGPT

Demos:

ChatGPT Overview and Reaching 100M Users

ChatGPT Models: GPT-3 vs GPT-4

Tokens and Pricing Models

Making API Calls with OpenAI APIs

Creating Embeddings

Image Generation using DALL·E API

Speech to Text Conversion

7. Azure OpenAI

Overview of Azure OpenAI and Its History

Models, Limits, and Quotas in Azure OpenAI

Pricing and the Azure OpenAI Studio

Playgrounds:

Chat Playground

Completions Playground

Creating Images using DALL-E

8. Bring Your Own Data – RAG with Azure AI Search

What is Azure AI Search?

How Vector Search Works with Azure AI Search

Demos:

Pre-requisites for RAG with Azure AI Search

Creating a Storage Account and Embedding Deployment

Setting Up Azure AI Search Resource

Uploading Documents and Performing Queries with Your Data

9. Azure OpenAI Fine Tuning

What is Fine Tuning?

Regions & Models for Fine Tuning

Demos:

Creating Azure OpenAI Service

Preparing & Uploading Data

Creating and Evaluating Fine Tuning Jobs

Deploying and Querying the Fine Tuned Model

10. Azure OpenAI Content Filtering

What is Content Filtering?

Categories Covered and Prompt Shield

Demo: Impact of Content Filtering

11. Azure OpenAI Identity & Access Management

What is Azure RBAC Model ?

RBAC for Azure OpenAI

Demos:

Perform Role Assignment based on Cognitive Roles

12. Azure OpenAI Assistants API

What is Assistants API?

Assistants API Components / Key Terms

Architecture

Demo:

Python Code for a Maths Tutor using Assistants API

What is a Code Interpreter ?

Demo:

Analysing the Code

Making Code Fixes

Working on Failed Banks and creating Graphs

What is Function Calling ?

Target Audience:

Aspiring AI and ML practitioners

Data Scientists looking to enhance their skills

Developers interested in AI-driven applications

Professionals seeking knowledge in OpenAI and Azure AI tools

Course Curriculum

Chapter 1: AI Concepts and Workloads – (For Absolute Beginners)

Lecture 1: AI Concepts & Workloads- Title

Lecture 2: What is AI ?

Lecture 3: History of AI

Lecture 4: Benefits of Artificial Intelligence (AI)

Lecture 5: Types of AI Workloads

Lecture 6: AI vs ML vs DL

Chapter 2: Machine Learning Foundations (For Absolute Beginners)

Lecture 1: Machine Learning Title

Lecture 2: Machine Learning – Real World Example

Lecture 3: Machine Learning – Key Terminologies

Lecture 4: What is Machine Learning ?

Lecture 5: Types of Machine Learning

Lecture 6: What is Supervised Machine Learning ?

Lecture 7: What is Classification in SML ?

Lecture 8: What is Regression in SML ?

Lecture 9: What is Unsupervised Machine Learning ?

Lecture 10: What is Re-inforcement Machine Learning

Lecture 11: What is a Jupyter Notebook

Lecture 12: Demo: Install Anaconda

Lecture 13: Demo: Understanding the IRIS Dataset

Lecture 14: Demo: Creating & Training your ML Model

Lecture 15: Machine Learning Quiz Title

Chapter 3: Deep Learning Foundations (For Absolute Beginners)

Lecture 1: Deep Learning Title

Lecture 2: What is Deep Learning ?

Lecture 3: What is a Neural Network ?

Lecture 4: Deep Learning Models

Lecture 5: What is a Transformer Model?

Lecture 6: Demo: GANs – Deep Fake Video

Lecture 7: Demo- Creating & Training Deep Learning Model

Lecture 8: Deep Learning Quiz

Chapter 4: Generative AI Foundations

Lecture 1: Generative AI Title

Lecture 2: What is Generative AI ?

Lecture 3: Predictive AI vs Generative AI

Lecture 4: What is LLM ?

Lecture 5: What is Embedding ?

Lecture 6: What is a Vector Database ?

Lecture 7: Embedding vs Vector Database

Lecture 8: What is Retriever Augmented Generation (RAG) ?

Lecture 9: What is Langchian ?

Lecture 10: Role of Langchain in RAG

Lecture 11: Prompt Engineering & Fine Tuning

Lecture 12: Quiz Time

Chapter 5: AI Infrastructure

Lecture 1: AI Infrastructure Title

Lecture 2: What is a GPU ?

Lecture 3: Demo: CPU Vs GPU

Lecture 4: What is RDMA Cluster Network

Lecture 5: Quiz Time

Chapter 6: OpenAI / ChatGPT / APIs

Lecture 1: Title: OpenAI / ChatGPT / APIs

Lecture 2: What is OpenAI ?

Lecture 3: What is ChatGPT ?

Lecture 4: Demo on chatgpt

Lecture 5: Time to reach 100M users

Lecture 6: Get an understanding of Various OpenAI Models

Lecture 7: GPT-3 vs GPT-4

Lecture 8: New: What is GPT-4o ?

Lecture 9: New: Demo: GPT-4 Vs GPT-4o

Lecture 10: New: What is GPT-4o Mini?

Lecture 11: What are tokens ?

Lecture 12: Pricing Model for ChatGPT

Lecture 13: Demo: How to make API Calls with OPENAI APIs

Lecture 14: Demo: Make a simple API Call

Lecture 15: Demo: How to create Embeddings ?

Lecture 16: Demo: Image generation using DALL·E in the API

Lecture 17: Demo: Convert Speech to Text

Lecture 18: Quiz Time

Lecture 19: Join Our Facebook Group

Chapter 7: Azure OpenAI Foundations

Lecture 1: Title : Azure OpenAI

Lecture 2: Azure OpenAI – Intro

Lecture 3: What is Azure OpenAI

Lecture 4: Ensure you have Microsoft Account or a Working Azure Account

Lecture 5: History behind Azure OpenAI

Lecture 6: Models available with Azure OpenAI(Regions)

Lecture 7: Limits & Quotas – Important Consideration

Lecture 8: How Pricing Works in Azure OpenAI

Lecture 9: Demo: Setup Azure OpenAI Service

Lecture 10: What is Azure Open AI Studio ?

Lecture 11: Demo: Azure OpenAI Studio Walkthrough

Lecture 12: Chat Playground – Demo: Create a Deployment of Chats Playground

Lecture 13: Understand the Chat Playground

Lecture 14: Demo: Deploy a Webapp from the Playground

Lecture 15: DALL-E PlayGround – Demo on Generating Images

Lecture 16: What is Completions Playground ?

Lecture 17: Demo: Completions Playground

Lecture 18: Quiz Time

Chapter 8: Azure OpenAI – Making API Calls

Lecture 1: Title – Azure OpenAI – Making API Calls

Lecture 2: API Calls – Intro

Lecture 3: OpenAI API Calls Vs Azure OpenAI API Calls

Instructors

Kshitij Joy (OCM/ACE-Pro)
Oracle Certified Master(OCM) & Oracle Cloud Architect

Rating Distribution

1 stars: 0 votes

2 stars: 3 votes

3 stars: 21 votes

4 stars: 92 votes

5 stars: 111 votes

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