Next Available Dates

  • No public courses currently scheduled. Please contact ALC.

The Azure Artificial Intelligence (AI) workshop is an ideal course for technology and data professionals who wish to get start quickly on the Microsoft Azure Machine Learning platform. It is a technical 1-day course designed to bring candidates real-world, hands-on experience in using Azure Databricks, Azure Machine Learning Workspace and Compute, Spark Structured Stream and Spark Dataframes.

The course is designed for those starting off in AI, right through to seasoned data scientists who wish to improve their knowledge and understanding of Azure and Python.

In addition to the hands-on lab exercise, and access to online labs for 180 days, the course also includes a architecture and design component, where candidates will work in a group whiteboard design session to architect and design the optimal Azure solution for a real business problem.

This unique ALC workshop outlines the a real problem space focusing on the use of machine learning to assess whether a vehicle product is compliant to regulations and how to predict preventative vehicle maintenance. Candidates learn how to use automated machine learning, model lifecycle management and construct deep learning models for natural language processing (NLP). Finally, candidates learn to compare data with PyTorch and Keras for deep learning.

The knowledge and techniques gained can be applied to a range of regulatory compliance scenarios and predictive maintenance challenges.

Learning outcomes

  • Overview of Artificial Intelligence
    • Deep Learning
    • Machine Learning (ML)
    • Predictive Analytics
    • Natural Language Processing (NLP)
  • Overview of the following technologies:
    • Azure Databricks
    • Azure Machine Learning Workspace
    • Azure Machine Learning Compute
    • Azure Cosmos DB
    • Azure IoT Hub
    • Azure IoT Central
    • Azure Blob Storage
    • Azure SQL
    • Azure Functions
    • Azure Key Vault
    • Azure Active Directory
    • Spark Structured Streaming
    • Spark DataFrames
  • Hands-on experience with the following technologies & techniques:
    • Azure Portal
    • Azure Databricks
    • Azure Machine Learning Workspace
    • Python (no previous knowledge required)
    • PyTorch
    • Recurrent Neural Networks (RNN)
    • CSV File Formats
    • Automated Machine Learning
    • Keras

Who should attend

  • Individuals and organisations seeking a basic technical understanding of artificial intelligence (AI) techniques, such as machine learning, deep learning and natural language processing.
  • Data analysts, database administrators, developers, data engineers and data scientists who want to improve their knowledge of Azure AI services.
  • Managers responsible for employees that are working on AI.
  • Technical employees involved in Office 365 initiatives or projects, such as project managers, business analysts, security architects, enterprise architects, solution architects and infrastructure architects.

Course contents

1. AI Concepts
  • What is Artificial Intelligence
  • What is Deep Learning
  • What is Machine Learning
  • What is Natural Language Processing
  • What are Analytics
2. Azure Hands-On Lab
  • Lab Solution Architecture
  • Create your Databricks account
  • Create a Databricks cluster
  • Install libraries
  • Upload the Databricks notebook archive
  • Create Machine Learning Workspace
  • Creating a forecast model using automated machine learning (ML)
  • Understanding the automated ML generated forecast model using model explainability.
  • Creating a deep learning model (RNN) for time series data
  • Using a forecast model for scoring of streaming telemetry
  • Creating a deep learning text classification model
  • Clean up resources
3. Azure Concepts & Solution Architecture
  • Ingestion using Azure IoT Hub pr Azure Event Hubs
  • Azure Storage
  • Model training using Azure Databricks with PyTorch and Keras
  • Model management using Azure Machine Learning workspace
  • Automated machine learning using Azure Machine Learning Compute
  • Stream data processing using Azure Databricks with Spark Structured Streaming
  • Batch data processing using Azure Databricks with Spark DataFrames
  • Alert storage using Cosmos DB
  • Alert sending using Azure Function
4. Whiteboard Design
  • Review the customer case study
  • Design the AI solution
  • Present the AI solution
  • Discussion of the preferred AI solution case study
  • Alternative architectures
  • Azure Architecture Center
  • Feedback
  • Wrap-Up

Course fees

Fees Per Person

  • Microsoft Azure Artificial Intelligence Workshop 
  • $780 + gst 

What you receive:

  • Comprehensive ALC course workbook, quality colour printed
  • Official Microsoft Practice Test
  • Course held in quality CBD hotel 
  • Full catering including proper sit-down lunch, morning and afternoon refreshments

NOTE: Exam voucher not included.  See below.

Course Requirements

Participants are required to bring a laptop to the course.

Prerequisites

Candidates should ideally have at least 2 years of IT experience. No knowledge of Azure is required.

Pre-requisites

Candidates should ideally have at least 3 years of IT experience and have a foundational understanding of the Microsoft Azure Portal. No knowledge of AI or Python is required


Next Available Dates

  • No public courses currently scheduled. Please contact ALC.

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