Microsoft Azure training for Beginners in Detroit 🗓 🗺

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Description

Microsoft Azure training for Beginners is a 4 weeks long training course to be provided for a total duration of 16 hours. There will be 8 sessions for the entire duration of the class spread across 4 weeks. Please see below for additional details.

  • This course will be taught in English language only.
  • All published ticket prices are in US Dollars.
  • This course will also help you prepare for Microsoft Azure Fundamentals AZ-900 Certification exam.

Weekend Class Schedule

Please check your local date and time for the first session

  • February 1 – February 23, 2020 US Pacific Time
  • Saturday and Sunday US Pacific time every weekend
  • 8:00 AM – 10:00 AM US Pacific time each day

Course Overview

This course will provide foundational knowledge of fundamental concepts of cloud services and how these services are offered with Microsoft Azure. This training is the first step in learning about cloud services concepts, Microsoft Azure, before taking any other Microsoft Azure or Microsoft cloud services courses.

Course Objectives

  • General cloud computing concepts
  • Core services available with Microsoft Azure
  • Security, privacy, compliance and trust with Microsoft Azure
  • Pricing and support models available with Microsoft Azure

Who can take this course

This course is suited for anyone who would like to learn more about Microsoft Azure.

Course Pre-requisites

There are no pre-requisites for taking this course.

Course Outline

1. Principles and Concepts of Cloud Concepts

  • Fundamental Concepts and terminology
  • Why Cloud Services?
  • Benefits of the Cloud
  • Compliance Requirements and Terms
  • Capital and Operational Expenditures
  • Cloud Deployment Models
  • Cloud Service Models
  • Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS)
  • Public, Private, and Hybrid cloud models

2. Introduction to Azure

  • What is Azure
  • Azure History
  • Azure Services

3. Core Azure Services

  • Core Azure architectural components
  • Core Azure Services and Products
  • Azure Solutions
  • Azure management tools

4. Security, Privacy, Compliance and Trust

  • Securing network connectivity in Azure
  • Core Azure Identity services
  • Security tools and features
  • Azure governance methodologies
  • Monitoring and Reporting in Azure
  • Privacy, Compliance and Data Protection standards in Azure

5. Azure Pricing and Support

  • Azure subscriptions
  • Planning and managing costs
  • Support options available with Azure
  • Service lifecycle in Azure

6. Azure Global Infrastructure and SLAs

  • Azure Datacenters and Regions
  • Availability Zones
  • Azure SLA’s
  • Calculating Application SLA’s

7. Azure Account

  • Azure Account and Subscriptions
  • Intro to AAD and Azure Billing
  • Azure Support Options

5. Azure Management Portal

  • Azure Management Options
  • Overview of Azure Management Portal
  • Azure Portal Dashboards
  • Private and Public Preview Features

6: Azure Compute Services

  • Azure Compute Concepts
  • Azure Virtual Machines
  • Azure Container Services
  • Azure App Service
  • Serverless on Azure

7: Azure Storage Services

  • Data Types
  • Azure Data Storage Options
  • Benefits of Cloud Data Storage

8: Azure Networking Services

  • Azure Virtual Networks
  • Azure Load Balancer and Application Gateway
  • Azure Traffic Manager

9. Security and Trust in Azure

  • Shared Responsibility Model
  • Overview of Azure Security Center
  • Manage Users and Access with AAD
  • Encryption in Azure
  • Restricting Network Access in Azure
  • Azure Advanced Threat Protection

10: Monitor Compliance With Azure Policy

  • Introduction to Azure Policy
  • Enterprise Governance With Management Groups and Blueprints
  • Explore Microsoft Compliance and Trust Resources
  • Monitor Your Workloads

11 Azure Resource Manager

  • Azure Resource Groups
  • Tagging Resources
  • Resource Locks

12: Security and Trust in Azure

  • Purchasing and Billing for Azure Services
  • Azure Pricing Calculator
  • Exploring Azure Cost Management Tools
  • Exploring Azure TCO Calculator
  • Reducing Costs on Azure

Intro to Coding Workshop 🗓 🗺

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Looking to transition to a career in tech? Let us help you on your journey!

At Grand Circus, we believe anyone can become a developer. This FREE Intro to Coding Workshop is designed for those who are curious about coding, but who have very little or no coding experience.

By the year 2020, there will be over one million open computer-programming jobs. Here at Grand Circus, we are aiming to help fill those positions, one coder at a time.

This critical first step towards your new career will provide you with basic programming terminology – like syntax (trust us, it’s an important one!) and give you the opportunity to practice basic programming ideas.

While you won’t leave this workshop a developer, you will learn more about Grand Circus and the steps we have in place to get you there.

What do you need for this class?

  • A laptop with Google Chrome downloaded on it
  • A willingness to learn something new

If you do not have a laptop, please fill out this form 48 hours before the workshop.

Looking to register for our other workshops? You can do so here.

High Voltage Engineering with Laboratory 🗓 🗺

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Date: January 27, 2020
Location: The Ohio State University, Dreese Lab
Class Time: 8am-5pm

Description

The high voltage one-day course is specifically designed for engineers and technicians from electric utility companies.  The purpose of the course is to provide opportunities for the utility personnel to observe and enhance their understanding of the mechanisms of high voltage phenomena in a controlled testing environment.  The course covers safety aspects and practices in the lab, high voltage measurement techniques, flashover along insulators, insulation material breakdown, corona, and electric field effects.

Course outline:
  1. Electric and magnetic fields.
  2. High voltage safety.
  3. Breakdown in gas, liquids and solids (lab demonstrations).
  4. Corona discharge (lab demonstrations).
  5. High voltage power electronics.

 

About the High Voltage Laboratory

The High Voltage and Power Electronics Laboratory consists of a 3600 sq. ft. main high voltage facility and two satellite power electronics laboratories. The high voltage lab is the only one of its kind among the universities in the Midwest. Its operations are strongly supported and heavily utilized by electric power related industries. The power electronics facilities are unique to the universities in State of Ohio and belong to only handful of power electronics labs in the United States that deal with high power applications. Click Here to learn more!

What’s Included

The price of the course includes instructional materials and a box lunch.

Course Pre-requisites

A bachelor’s degree in engineering or an equivalent degree and/or work experience.

Location

The Ohio State University
Dreese Lab – room 260
Center for High Performance Power Electronics Laboratory located in Dreese Lab.
2015 Neil Ave, Columbus, OH, 43210

Click Here for a campus map
Click Here for parking information

Click Here to find out more and read our brochure about the program.

Cancellations and Refunds

Full refund minus a $50 administrative fee if you cancel more than 14 business days before a training course date. No refunds will be given after that time. Registrations can be transferred.

 

From Zero to Machine Learning in 45 Minutes – AI, ML, and AWS DeepRacer 🗓 🗺

Details

Agenda:
Networking & Lunch: 12:00pm – 12:30pm
Talk: 12:30pm – 1:30pm
Q&A: 1:30pm – 1:45pm

Lunch will be provided; we hope to see you there! Please arrive by 12:15 pm to ensure you have time check-in and get settled in for the talk.
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Talk Description:
Have you heard of the catchphrases Artificial Intelligence and Machine Learning? So is this yet another theoretical and boring lecture on how cool all this is? …Not Really!

During this session, I will take you on a journey of learning about Artificial Intelligence, Machine Learning, Reinforcement Machine Learning and AWS (Amazon Web Services) DeepRacer. In the end, you will walk away with an understanding of different types of Machine Learning and how it’s implemented in the industry.

You will also be able to quickly and easily – build, train and evaluate your own Reinforcement Machine Learning Model using AWS (Amazon Web Services) and simple Python code. You will see your virtual car model learn, adapt and improve – all in real-time as it navigates itself around a virtual race track.

Speaker:
Harnoor Minhas
Quicken Loans, Senior Data Warehouse Engineer. AWS Cloud Enthusiast
Harnoor Minhas is a Senior Data Warehouse Engineer, AWS Certified Solution Architect Associate and a Cloud Technology Enthusiast at Quicken Loans, the nation’s largest mortgage lender, which is based in Detroit, Michigan. Harnoor has more than 15 years of diverse work experience working in various sectors namely banking, securities, finance, education, tax, regulatory, private, state and federal government.

Harnoor Minhas believes in continuous improvement and his personal mantra is ‘Believe in Yourself. Live and Grow Everyday’. He also loves helping and mentoring people in technology to realize their full potential. Harnoor is deeply involved and interested in keeping up with the latest technology developments in Big Data, Graph Databases, Natural Language Processing, Machine Learning, Serverless Computing and their implementation in the AWS cloud.

Harnoor is also into cryptocurrency and at point was also heating up his basement using his cryptocurrency mining rig, utilizing 16 graphic cards.

The Gaussian Maximum Likelihood Approach for Independent Component and Vector Analysis 🗓 🗺

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Amir Weiss 
Post Doctoral Fellow 
Weizmann Institute of Science

WHERE:

1014 Dow Building
SHARE:

Abstract

The Blind Source Separation (BSS) problem consists of retrieving signals of interest (termed the “sources”) from a dataset consisting of their mixtures. One of the most popular and common paradigms for solving the BSS problem is Independent Component Analysis (ICA), where the sources are assumed to be (only) mutually statistically independent random processes, and the mixtures are assumed to be linear combinations thereof, where the linear mixing operator is unknown. In this talk, we shall start with the Gaussian Maximum Likelihood (ML) approach for the semi-blind problem, in which the sources are assumed to be temporally-diverse Gaussian processes. Based on the principles of this approach, we shall present our novel contributions in the form of two extensions. First, we shall consider the Independent Vector Analysis (IVA) framework, which has emerged in recent years as an extension of ICA into multiple datasets of mixtures. In IVA, the sources in each dataset are, as in ICA, mutually statistically independent, but may depend on sources from other datasets. We will see the benefit in using IVA, and specifically that the Gaussian ML approach leads to consistent separation regardless of the sources’ true distributions. Then, we shall address the noisy Gaussian ICA problem, which has hardly seen any analytical treatment in the literature before. Two asymptotically optimal solutions, w.r.t. two different optimality criteria, will be presented. We show (both analytically and empirically) that these solutions possess attractive properties even for mixtures of non-Gaussian sources.

Biography

Amir Weiss received the B.Sc. (magna cum laude) and M.Sc. degrees in electrical engineering from Tel-Aviv University (TAU), Tel-Aviv, Israel, in 2013 and 2015, respectively, where he has recently submitted his Ph.D. dissertation at the School of Electrical Engineering. He is currently a postdoctoral fellow at the Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. His research and teaching areas are in statistical and digital signal processing and estimation theory. He has also been holding a part-time researcher position in these research areas with Elbit Systems, EW and SIGINT Elisra Ltd., Holon, Israel, since 2013, specializing in detection and parameters estimation of RADAR and SONAR signals.

Amir was the recipient of the scholarship for excellent M.Sc. students from the Faculty of Engineering, TAU in 2015, and The David and Paulina Trotsky foundation award for outstanding Ph.D. students in 2019. He was also the recipient of the Nadav Levanon studies prize for graduate students, the scientific publication prize (twice) and the David Burshtein scientific publication prize all from the The Yitzhak and Chaya Weinstein Research Institute for Signal Processing in 2016, 2017, 2018 and 2019 respectively.

Fundamental and Applied Electrochemistry for Photonic Applications 🗓 🗺

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Saurabh Acharya

WHERE:

3316 EECS

Abstract:

 Photonic devices that selectively transmit or reflect light are highly desirable in a wide variety of applications, including energy harvesting, aesthetic decorations and optical displays. However, most of these devices demonstrated to date involve complex patterns or expensive fabrication processes, which limits high volume production.

In this dissertation, we focus on two ambient condition approaches to fabricate photonic devices with the capacity for scaling up. First, the electrochemical liquid-liquid-solid (ec-LLS) growth technique is used to grow crystalline semiconductor micro/nanowires at T< 80 C and Ge nanowire-based broadband absorbers on thermally sensitive flexible substrates are demonstrated. This thesis provides a detailed study on the critical factors affecting ec-LLS crystal growth, and the scope for implementation of this growth method for practical applications is detailed. Second, we apply electrochemical techniques to fabricate structural color filters by sequential electrodeposition of tri-layer metal/dielectric/metal Fabry-Pérot cavities. Additionally, low-power consumption tunable color filters are achieved by employing an electrochemical effect into the structural color design. We show that the proposed structures offer advantages over existing colorant-based filters in terms of high efficiency, lifetime and switching stability. The benchtop electrodeposition method utilized avoids any reliance on vacuum systems and ancillary equipment.

To have a finer control over the electrodeposition processes explored above, it is imperative to understand electrochemical processes and electron transfer processes at semiconductor/liquid junctions. In the last part of the thesis, theoretical and experimental studies on semiconductor-liquid interfaces using individual ultra-micro electrodes are presented, which test the accuracy of Marcus theory at these interfaces.

Chair: Professor L. Jay Guo

Army Autonomy and Artificial Intelligence Symposium and Exposition 🗓 🗺

The Army Autonomy and Artificial Intelligence Symposium and Exposition will explore and display innovative ways the U.S. Army is developing critical capabilities in robotics, autonomy, machine learning, and artificial intelligence. The goals are to explore how the Army-Industry team can best collaborate to achieve cost-effective, innovative solutions to military problems, seamlessly reallocate resources as conditions change, and with the speed and efficiency that adversaries cannot match.

 

Register: https://10times.com/army-autonomy-and-artificial-intelligence-symposiu

Artificial Intelligence – Changing the Face of Healthcare Delivery 🗓 🗺

MCACHE – ANNUAL MEETING

 Thursday, November 7, 2019

1.5 Face-to-Face Credits

Dearborn Inn, 20301 Oakwood Blvd., MI 48124, Alexandria ballroom

Artificial Intelligence – Changing the Face of Healthcare Delivery

 

Learn how healthcare is embracing Artificial Intelligence (AI) to achieve better outcomes.  Institutions are leveraging predictive analytics in clinical spaces to analyze sepsis readmissions and census data, while others are looking at process improvement(s) to reduce length of stay through workflow.  Smart bots are working with member mobile apps to answer questions and implement machine learning. While many believe AI will replace people, some feel having the “right people” in roles is more important than ever.  With so much digital clutter, how do you manage it all?  Our panel will share observations and learnings, and will address challenges that are occurring and/or may occur with the use of Artificial Intelligence.  
SCHEDULE
Registration & Networking
 Dinner/ Annual Business Meeting, Officer Installation, Committee reports & Annual Awards 
Program

5:00 p.m. – 6:00 p.m.

   6:00 p.m. – 7:00 p.m.   7:00 p.m. – 8:30 p.m.
LOCATION Dearborn Inn

20301 Oakwood Boulevard

Dearborn, MI 48124

Alexiandria Ballroom

 

 

Speakers: 

 

 

 

Bassam Kadry, MD, ConsultantFormer Vice President of Analytics at Henry Ford Health System &

Former Associate Professor in the Department of Anesthesiology at Stanford University School of Medicine

 

Justin Hammerling

Assistant Vice President

ProMedica Innovations

 

Carleen Penoza

Chief Nursing Officer

Michigan Medicine

  

Larry Hoffman

Director, Digitization Technology Strategy & Planning

Blue Cross Blue Shield of Michigan

Cost:  Members – $45 / Non-Members – $55 / Students – $10

REGISTER TODAY!

http://bit.ly/MCACHEAM2019

A simulcast option has been added for registration, if you are unable to attend in person. *Note: There will be no face-to-face credits awarded if you attend by simulcast. Instructions to join will be emailed the day before. 

Cost: Members – $20 / Non-Members – $30

 Use this link to register for the simulcast.

http://bit.ly/AIWEBEX

 

Register by November 4th at Noon 

Refunds available only for cancellations emailed to mcache@achemail.net 10 days prior to the event and registration fees cannot be applied to future programs.

This program has been developed and is presented locally by the Midwest Chapter of the American College of Healthcare Executives. As an independent chartered Chapter of the American College of Healthcare Executives, Midwest Chapter of the American College of Healthcare Executives is authorized to award 1.5 hour of Face-to-Face Education credit toward advancement or re-certification in the American College of Healthcare Executives.

Minnesota Power Systems Conference 🗓 🗺

Registration

The conference fee is $395 if received by October 23 and $445 if received after that date. The conference fee includes all sessions, continental breakfasts, luncheons, refreshment breaks, and the exhibitor reception. Cancellations made by October 30 will receive a refund minus $30. Cancellations after this date are not eligible for a refund.

Online Registration

Use the online registration when registering yourself and/or multiple people and paying with a credit card. After registering online you will receive “Registration Confirmation” and “Receipt” emails from ccapsconf4@umn.edu (check your spam folder if you don’t see these in your Inbox).

Registration Questions?

612-625-2900 | ccapsreg@umn.edu

 

 

Location & Accommodations

Locations

The conference will be held at the Saint Paul RiverCentre, 175 West Kellogg Boulevard, Saint Paul, Minnesota. Parking is available for a fee in the RiverCentre parking ramp, which is located on Kellogg Boulevard across the street from RiverCentre.

Accommodations

A block of rooms has been reserved at the Intercontinental Saint Paul Riverfront. You may book the Intercontinental online or call 651-292-1900. To receive the special conference rate of $172 identify yourself as a participant of the Minnesota Power Systems Conference. The room block deadline is October 22, 2019, or until space permits.

A second block of rooms has been reserved at the Holiday Inn St. Paul Downtown. To receive the special conference rate of $143, you may book the Holiday Inn onlineor call 651-225-1515 and identify yourself as a participant of the Minnesota Power Systems Conference. The room block deadline is October 10, 2019, or until space permits.