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AI Fundamentals

AI-900

What is AI

AI engineers are architects of innovation, crafting, managing, and deploying AI solutions that harness Azure Cognitive Services and Azure services. They guide projects through all stages of development, from concept inception and design to coding, deployment, integration, ongoing upkeep, and performance enhancement.

Collaborating seamlessly with solution architects, data scientists, data engineers, and a diverse array of specialists, Azure AI engineers orchestrate end-to-end AI solutions. Proficiency in Python or C# empowers them to create secure, comprehensive solutions using REST-based APIs and SDKs. From image and video processing to natural language understanding and conversational AI, these engineers master the tools to solve multifaceted challenges.

Embarking on the path of Azure AI offers a passport to impact and innovation. By acquiring these skills, you position yourself at the forefront of technology, capable of addressing real-world complexities and shaping the future. Azure AI empowers you to revolutionize industries, create novel applications, and lead transformative change, establishing yourself as a visionary AI professional.

Overview

Artificial Intelligence (AI) embodies the realm of intelligent machines, enabling them to emulate human cognition. It encompasses diverse technologies that empower computers to comprehend, learn from, and respond to data in ways that replicate human decision-making. AI’s dynamic capabilities extend across fields such as language processing, problem-solving, pattern recognition, and predictive analysis, revolutionizing industries, automating tasks, and fueling innovation for a future where machines and humans collaborate harmoniously.

Artificial intelligence is the new electricity.

Andrew Ng, co-founder of Google Brain

Curriculum

Topics Covered

Get started with artificial intelligence

Through AI, we have the capability to develop solutions that once belonged to the realm of science fiction. This technology drives remarkable progress in healthcare, financial management, environmental preservation, and beyond, contributing to a brighter future for all.

  1. Introduction to AI
  2. Understand Machine Learning
  3. Understand anomaly detection
  4. Understand computer vision
  5. Understand natural language processing
  6. Understand knowledge mining
  7. Challenges and risks with AI
  8. Understand responsible AI

Explore the interplay of artificial intelligence (AI), Responsible AI, and the generation of text, code, and images. Learn how Azure OpenAI empowers you to construct solutions that harness AI models within the Azure environment.

  1. What is generative AI
  2. Describe Azure OpenAI
  3. How to use Azure OpenAI
  4. Understand OpenAI’s natural languages capabilities
  5. Understand OpenAI code generation capabilities
  6. Describe Azure OpenAI’s access and responsible AI policies
  7. Explore Azure OpenAI Service

Explore visual tools for machine learning

Crafting a machine learning model involves an iterative journey demanding both time and computational resources. Automated machine learning offers a streamlined approach to simplify this process.

  1. What is machine learning?
  2. What is Azure machine learning studio?
  3. What is Azure automated machine learning?
  4. Understand the AutoML process
  5. Explore automated machine learning in Azure ML

Regression, a supervised machine learning method, is harnessed to forecast numerical values. Acquire the skill to fashion regression models through Azure Machine Learning design.

  1. Identify regression machine learning scenarios
  2. What is Azure machine learning?
  3. What is Azure machine learning designer?
  4. Understand steps for regression
  5. Explore regression with Azure machine learning designer

Classification, a supervised machine learning approach, is employed to foresee categories or classes. Grasp the art of crafting classification models with the aid of Azure Machine Learning designer.

  1. Identify classification machine learning scenarios
  2. Machine learning designer
  3. Understand steps for classification
  4. Explore classification with Azure machine learning designer

Clustering, an unsupervised machine learning method, is employed to cluster similar entities based on their features. Discover the process of constructing clustering models utilizing the capabilities of Azure Machine Learning designer.

  1. Identify clustering machine learning scenarios
  2. Understand steps for clustering
  3. Explore clustering with Azure machine learning designer

Explore computer vision

The Computer Vision service empowers software engineers to develop intelligent solutions capable of extracting valuable insights from images, a frequently encountered task in numerous artificial intelligence (AI) applications.

  1. Get started with image analysis on Azure
  2. Explore Computer Vision

Image classification represents a prevalent task within artificial intelligence (AI) applications, leveraging the capabilities of machine learning to empower AI systems in recognizing real-world objects through visual data.

  1. Understand classification
  2. Get started with image classification on Azure
  3. Explore image classification

Object detection constitutes a facet of computer vision wherein artificial intelligence (AI) entities possess the ability to discern and pinpoint distinct categories of items within an image or live camera stream.

  1. What is object detection?
  2. Get started with object detection on Azure
  3. Explore object detection

The functionalities of face detection, analysis, and recognition hold significant importance for artificial intelligence (AI) solutions. Leveraging Azure’s Face cognitive service facilitates seamless integration of these capabilities into your applications.

  1. Get started with Face analysis on Azure
  2. Explore face detection

Optical character recognition (OCR) empowers artificial intelligence (AI) systems to interpret text within images, allowing applications to extract valuable information from photos, scanned documents, and various digitized sources of text.

  1. Get started with the Read API on Azure
  2. Explore optical character recognition with the Read API

Automating data extraction from scanned receipts is becoming a prevalent practice in various business contexts, as organizations recognize the potential of artificial intelligence (AI) to streamline the processing of invoices and receipts.

  1. Get started with receipt analysis on Azure
  2. Explore form recognition

Explore natural language processing

Delve into the realm of text mining and text analysis using the Natural Language Processing (NLP) capabilities of the Language service. Discover functionalities such as sentiment analysis, key phrase extraction, named entity recognition, and language detection that empower you to unravel insights from textual data.

  1. Get started with Text analysis
  2. Explore text analytics

Acquire the skills to identify and generate speech through the utilization of Azure Cognitive Services.

  1. Get started with speech on Azure
  2. Explore speech

AI-powered translation capabilities enhance collaboration by eliminating language barriers, promoting seamless communication.

  1. Get started with translation in Azure
  2. Explore translation

In this section, we’ll provide an introduction to conversational language comprehension and demonstrate how to develop applications that possess language understanding using Azure AI Language capabilities.

  1. Get started with conversational language understanding
  2. Explore language understanding

Bots have become widely adopted for offering assistance across various communication channels. This section outlines the process of leveraging a knowledge base and Azure Bot Service to construct a bot capable of addressing user inquiries effectively.

  1. Get started with the Language service and Azure Bot Service
  2. Explore question answering

Explore decision support

Explore the array of Azure services designed to identify anomalies within your time-series or real-time data.

  1. What is Anomaly Detector?
  2. How anomaly detector works
  3. When to use anomaly detector
  4. Explore cognitive services

Explore knowledge mining

Leverage Azure Cognitive Search to enable search functionality for your data.

  1. What is Azure Cognitive Search?
  2. Identify elements of a search solution
  3. Use a skillset to define an enrichment pipeline
  4. Understand indexes
  5. Use an indexer to build an index
  6. Persist enriched data in a knowledge store
  7. Create an index in the Azure portal
  8. Query data in an Azure Cognitive Search Index
  9. Explore knowledge mining

Course Duration

4 Days

Choose the training options that match your preferences from the list below.

Remote Training

Transform your future through interactive remote training with expert-led virtual classrooms.

Onsite Training

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View Only

Attend our training via Teams in view mode only. Watch, learn, and stay connected with ease!

Why Learn AI

  • Machine Learning: The study of algorithms that enable systems to learn and improve from data.
  • Neural Networks: Models inspired by the human brain, used in deep learning for pattern recognition.
  • Natural Language Processing (NLP): Techniques enabling computers to understand, interpret, and generate human language.
 

Discover what awaits

  • You will get a comprehensive set of materials and resources designed to provide a well-rounded learning experience.
  • Receive course manuals or syllabus, lecture slides, practical exercises, assessments such as quizzes or exams.
  • Access our online learning platform or virtual classrooms, and interact with instructors and other students.

MS Teams Developer

Maximizing Collaboration, Communication, and Productivity for Seamless Team Development.

Azure

Mastering Azure Unleashes Limitless Cloud Possibilities for Innovation and Growth with Cloud Technology.

AI Developer

Ignite Curiosity, Transform Industries, Shape the Future by Unlocking the Potential of Artificial Intelligence.

Onsite Training

Customized in-person training at the workplace, or in-class training, convenient and cost-effective.

Remote Training

Learning via Teams remotely online, offers online video conferencing for convenient and flexible access.

Hybrid Training

Combining on-site and remote training, we provide a comprehensive training experience.