AI & ML Cloud Deployment For Beginners

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Chapter 2: Machine Learning WorkLoad on Azure – 1

Lecture 1: Section 1 Introduction

Lecture 2: Introduction to Cloud Computing and Azure Cloud Platform

Lecture 3: Introduction to Artificial Intelligence on Azure

Lecture 4: Introduction to Automated Machine Learning in Microsoft Azure

Lecture 5: Create Machine Learning Workspace on Azure

Lecture 6: Create Compute Resources on Azure

Lecture 7: Explore the Dataset on Azure

Lecture 8: Train a Machine Learning Model

Lecture 9: Deploy a model as a service

Lecture 10: Summary

Chapter 3: Machine Learning WorkLoad on Azure – 2

Lecture 1: Section Introduction

Lecture 2: Explore the Dataset using Azure Machine Learning Designer

Lecture 3: Data Transformation

Lecture 4: Create and Run a Training Pipeline

Lecture 5: Evaluate the Model

Lecture 6: Create an Inference Pipeline

Lecture 7: Deploy a Predictive Service

Lecture 8: Test a Predictive Service

Lecture 9: Summary

Chapter 4: Deep Learning WorkLoad on Azure

Lecture 1: Section Introduction

Lecture 2: What is Deep Learning?

Lecture 3: Optimizer and Learning Rate

Lecture 4: Training a Deep Neural Network Model

Lecture 5: Implementing Deep Neural Network

Lecture 6: Convolutional Neural Networks

Lecture 7: Train a Convolutional Neural Network Model

Lecture 8: Transfer Learning

Lecture 9: Implementation of Transfer Learning

Lecture 10: Free the Resource

Lecture 11: Summary

Chapter 5: Computer Vision

Lecture 1: Section Introduction

Lecture 2: Introduction to Computer vision

Lecture 3: Application of Computer Vision

Lecture 4: Image classification with Custom Vision – part 1

Lecture 5: Image classification with Custom Vision – part 2

Lecture 6: Object Detection with Custom Vision Service

Lecture 7: Summary

Chapter 6: Image Analysis, Faces, OCR & form recognizer

Lecture 1: Section Introduction

Lecture 2: Analyze images with Computer Vision Service

Lecture 3: Detect and analyze faces with the face service

Lecture 4: Read text with Computer Vision Services

Lecture 5: Analyze receipts: Form Recognizer Service

Lecture 6: Summary

Chapter 7: Natural Language Processing

Lecture 1: Section Introduction

Lecture 2: What is Natural Language Processing?

Lecture 3: Different Natural Language Processing workloads in Azure

Lecture 4: Natural Processing Language Demo

Lecture 5: Analyze Text with the Language Service

Lecture 6: Text Analytics on Microsoft Azure

Lecture 7: Recognize and Synthesize Speech

Lecture 8: Implementing Recognize and Synthesize Speech

Lecture 9: Summary

Chapter 8: Translate Text and Speech

Lecture 1: Section Introduction

Lecture 2: Introduction to Text to Speech Translation

Lecture 3: Translate Text and Speech in Microsoft Azure

Lecture 4: Conversational Language Understanding

Lecture 5: Implementing Conversational Language Understanding

Lecture 6: Summary

Chapter 9: Conversational AI

Lecture 1: Section Introduction

Lecture 2: Introduction to Conversational Artificial Intelligence

Lecture 3: Language Service and Azure Bot Service

Lecture 4: Implementing Chatbot in Azure

Lecture 5: Free Up the Resources in Azure

Lecture 6: Summary