Microsoft Azure AI Fundamentals

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.

The course teaches core concepts related to AI, such as machine learning, deep learning, computer vision, natural language processing (NLP) and more. This course introduces Azure AI services and tools to develop, implement and manage AI solutions in the Azure cloud. Topics such as Data Science, Cognitive Services, Bot Services, Machine Learning, and Metrics/Insights will be discussed, highlighting how to bring AI solutions to life within the Azure platform.(Online classes available)

Course Key Learnings:

1. Understand the purpose and fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), including use cases and current applications.
2. Learn about the features and benefits of Microsoft Azure Cognitive Services and how to use them to create AI solutions.
3. Examine ethical and responsible AI practices, such as data governance, data privacy, and transparency.
4. Create interactive experiences with Azure Bot Services to enable end-users to interact with AI solutions.
5. Explore AI development tools including Azure Machine Learning Studio and Azure Machine Learning Service.
6. Identify solutions for Machine Learning tasks such as Text Analysis, Image Processing, Anomaly Detection, and Forecasting.
7. Learn how to create and deploy machine learning models using Azure ML and MLOps.
8. Discuss the need for integrating AI applications into the enterprise.

Course Outline:

Module1: Get started with AI on Azure

Introduction to AI
Understand machine learning
Understand anomaly detection
Understand computer vision
Understand natural language processing
Understand knowledge mining
Challenges and risks with AI
Understand Responsible AI

Module2:Use Automated Machine Learning in Azure Machine Learning

Introduction
What is machine learning?
What is Azure Machine Learning studio?
What is Azure Automated Machine Learning?
Understand the AutoML process
Exercise – Explore Automated Machine Learning in Azure ML

Module3: Create a regression model with Azure Machine Learning designer

Introduction
Identify regression machine learning scenario
What is Azure Machine Learning
What is Azure Machine Learning designer
Understand steps for regression
Exercise – Explore regression with Azure Machine Learning designer

Module4: Create a classification model with Azure Machine Learning designer

Introduction
Identify classification machine learning scenarios
What is Azure Machine Learning?
What is Azure Machine Learning designer?
Understand steps for classification
Exercise – Explore classification with Azure Machine Learning designer

Module5: Create a clustering model with Azure Machine Learning designer

Introduction
Identify clustering machine learning scenarios
What is Azure Machine Learning?
What is Azure Machine Learning designer?
Understand steps for clustering
Exercise – Explore clustering with Azure Machine Learning designer

Module6: Analyze images with the Computer Vision service

Introduction
Get started with image analysis on Azure
Exercise – Explore Computer Vision

Module7: Classify images with the Custom Vision service

Introduction
Understand classification
Get started with image classification on Azure
Exercise – Explore image classification

Module8: Detect and analyze faces with the Face service

Introduction
Get started with Face analysis on Azure
Exercise – Explore face detection

Module9: Implementing Natural Language Processing (NLP) with its application

Implementing Natural Language Processing (NLP) with Azure
Demo: How you can apply the NLP Concepts with the Applications

Course Prerequisites

There are no official prerequisites for the AI-900T00: Microsoft Azure AI Fundamentals Training course. However, it is beneficial to have a basic understanding of cloud computing and Microsoft Azure services in order to get the most out of the course. Additionally, some knowledge of Artificial Intelligence (AI) concepts, such as machine learning and data science, is beneficial.

Target Audience

The AI-900T00 Microsoft Azure AI Fundamentals training is designed for individuals from a wide range of backgrounds

This includes engineers, architects, developers, administrators, data scientists and stakeholders work with or are looking to work with Azure AI service
It is also beneficial to those with data and analytics backgrounds who want to upskill their knowledge on applying advanced analytics with AI in Azure
Though not limited to just those areas, this course will also be beneficial to marketers, decision makers, project and program managers, or anyone looking to get a better understanding of working with the Azure Machine Learning and Cognitive Services product suite

International student Fees 250 US $

Job Interview Preparation (Soft Skills Questions & Answers)