Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training

Are you searching for Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training? Still didn’t find correct place to learn? Then just stop worrying because our Hope Tutors provides the best Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training. Yes, we are very proud to say we are the Best Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training Institute. We provide many real-time examples along with placement support. Industrial field experts prepare all our course materials. We conduct training sessions based on your flexibility. We allow you to choose timings based on your work schedules.

A small introduction to Microsoft Azure Data Scientist – Associate Exam DP-100:

Microsoft Azure is a cloud computing service. It is created by the Microsoft for building, testing, deploying, and managing apps and services via global network of Microsoft-managed data centres. Now Microsoft has made few changes in role based Azure certifications. They are AI engineer, Administrator, Solution Architect & Developer. Now Microsoft totally have 12 Azure certifications with 14 exams. These are mainly organized in three levels. They are Fundamental, Associate as well as Expert.
This exam is mainly to learn about the design & implementation of DS solutions on Azure. Here you learn about applying Azure ML approaches. Specially in training, evaluation & model deployment which are used for solving business problems.

The best Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training:

Nowadays, we all are very busy with our technical life. But at the same time, we are in need to keep up to date. Specially in all required technology. This will help us to sustain in our field. Hope Tutors will be there for you to learn new things. Keeping your needs in mind, we provide both mode of training. We provide our best to make you the best. Either you can take classroom training as well as online training.

Topic Covered for Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training:

Following are the concepts we should cover for the Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training. They are,

  • Creating and configuring Azure DS environments. Assessing deployment environments constraints. Analyzing and recommending tools for meeting system requirements.
  • Preparing and transforming data into usable data sets. Identifying and resolving anomalies. Reviewing visuals data analytics for discovering patterns.
  • Performing features select, extract, and scaling.
  • Identifying data imbalances. Split data sets. Evaluating model performance.

Why should you join with our Microsoft Azure Training Institute to learn our Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training?

Azure is one of the integral parts of modern technology. It is very important to get certificate from the best training centre. Here we come with Virtual Reality.
Hope Tutors provide the best Virtual Reality Training. We provide both classroom as well as Online training. All our training sessions are at industrial standards. Also, our training materials are also at the world-class level. Real time experts prepare all the course materials for this course. They prepare these course materials with all advanced concept. All the companies currently use these concepts in their work.
Industrial field experts who prepare your training materials will train you. They are currently working in various MNC. They have 8+ years of experience. All our training sessions are interesting and interactive. They are always ready to clarify all your doubts. Your trainers will share their real time challenges. Especially which they face in their day-to-day professional life. This will be very helpful for your career development.
Generally, our training institute will create a Whatsapp group for each batch. This group will connect you with your trainer. Even you can clarify all your doubts here. All your online meeting information and schedules are provided to you in this group. Also, other information is also shared to you via this group.
Generally, all our training is recorded. Then it will be uploaded in our website with credentials. We provide lifetime access for you to view these videos. It means we allow you to watch these videos at anytime from anywhere. This will be very helpful for you to refresh your training sessions. In case if you have any doubts? Then these videos will be very useful for you. You can easily cross-check all your doubts here.
We also provide placement assistance along with the training. Our well-trained HR will guide you in your resume preparation. Also, our valuable trainers guide you in your job search. We conduct many mock and GD sessions. Also, we provide you with interview dumps. All these things will be very helpful for you during your interview sessions. Also, we provide information about relevant job openings. We don’t have any restriction for you to attend interview. We allow you to attend any number of interviews.

What are the prerequisites to take this Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training with us?

Generally, our trainers will start the training sessions with all required basics. So, you need not worry about the prerequisites. But for this course we don’t have any of the prerequisites for this course. At the same time if we have Microsoft Azure Fundamentals Exam AZ-900 certification with us it will be an added advantage.

Who can attend our Microsoft Azure Data Scientist – Associate Exam DP-100 Certification Training?

Following candidates can hire this Microsoft Certified Azure Fundamental Exam DP-100 training with us. They are,

  • Azure Data Engineer
  • Azure Data Scientist

Information about the exams:

  • Required prerequisites: Microsoft Azure Fundamentals Exam AZ-900. This is optional.
  • Total Number of Questions: Approximately 40 – 60
  • Time Duration: 180 Minutes
  • Total Cost: $165

Job opportunities for Microsoft Azure:

Azure is one of the fastest growing technology in today’s world. Azure is a key player in the job market. There is a wide range of opening in this field. So, Azure experts tend to acquire jobs in the marketing sector. If you have certificate with you? Then it will be an added advantage for you. You will stand out from others in the job market once you have certificate.

Demo Classes and Fees Structures of our Microsoft Azure Training institute:

Once we receive your call or message, our team will call you. They will arrange a call with trainer. Once it is done, they schedule demo sessions. These demo sessions are totally free of cost. If you want to more demo classes? Don’t hesitate to ask. We provide any number of demo classes. All these demo classes are also free of cost. These demo sessions really help you to get better understanding. Especially about the training sessions.
We don’t want to make you more difficult to learn new technologies. That means you don’t want to worry about the money. We just want you to learn new technologies at minimal cost. So, we provide all our training at affordable fees. We provide this only for our you. We don’t want to burn your money. So, all our training sessions will be value for each and every single money which you pay for us.

Microsoft Azure Training Course Certification:

We provide you Microsoft Azure course certification under the name of Hope Tutors.

Reach us today through call/ email/chat to know more about our Microsoft Azure.
Hope Tutors wishes you good luck for your career growth.
Hope Tutors wishes you “All The Very Best”.

Course Curriculum

Managing resources in Azure for ML
Creating Azure ML workspace
creating Azure ML workspace 00:00:00
configuring all the settings for the workspace 00:00:00
managing workspace with Azure ML studio 00:00:00
Managing data in Azure ML workspace
selecting resources of Azure storage 00:00:00
registering and maintain datastores 00:00:00
create and managing datasets 00:00:00
Managing compute for the experiments in the Azure ML
determining the correct compute specification for the training workload 00:00:00
creating compute targets of the experiments & training 00:00:00
configuring Attached Computing resources which includes Azure Databricks 00:00:00
monitoring the compute utilization 00:00:00
Implementing securities as well as access controls in the Azure ML
determining access requirements & map requirements for building the roles 00:00:00
creating the custom roles 00:00:00
managing the role membership 00:00:00
managing the credentials with Key Vault of Azure 00:00:00
Setting up Azure ML development environment
creating compute instances 00:00:00
sharing the compute instances 00:00:00
accessing Azure ML workspaces from the other environments 00:00:00
Setting up Azure workspace for Databricks
creating Databricks workspace 00:00:00
creating Databricks cluster 00:00:00
creating and running notebooks in the Databricks 00:00:00
link & Databricks workspace for Azure ML workspace 00:00:00
Running experiments & train models
Creating models with Azure ML designer
creating training pipeline with Azure ML designer 00:00:00
ingesting data in the designer pipeline 00:00:00
using designer modules for defining data flow of pipeline 00:00:00
using code modules customs in the designer 00:00:00
Running models training scripts
creating and running experiment with Azure ML SDK 00:00:00
configuring run settings of script 00:00:00
consuming data from dataset in experiment with Azure ML SDK 00:00:00
running training script for Databricks compute 00:00:00
running code for training model in Databricks notebook 00:00:00
Generating metrics from experiment run
log metricises from experiment run 00:00:00
retrieving & viewing experiment outputs 00:00:00
using logs for troubleshooting experiment runtime errors 00:00:00
using ML flow for tracking experiments 00:00:00
tracking experiments running in the Databricks 00:00:00
Using Automated ML for creating optimal models
using interfaces of Automated ML in Azure ML studio 00:00:00
using Automated MLs from Azure ML SDK 00:00:00
selecting pre-processing options 00:00:00
selecting algorithms which is to be searched 00:00:00
defining primary metric 00:00:00
getting data for Automated run of ML 00:00:00
retrieving best model 00:00:00
Tuning hyper-parameters with the Azure ML
selecting sampling method 00:00:00
defining search space 00:00:00
defining primary metric 00:00:00
defining options of early termination 00:00:00
finding the model which has optimal values of hyper-parameter 00:00:00
Deploying & operationalizing ML solutions
Selecting computes for the model deployments
considering security for the deployed services 00:00:00
evaluating compute options of deployment 00:00:00
Deploying model as service
configuring deployment settings 00:00:00
deploying registered model 00:00:00
deploying trained model in Databricks to Azure ML endpoint 00:00:00
consuming service deployment 00:00:00
troubleshooting deployment issues in container 00:00:00
Managing models in the Azure ML
registering trained model 00:00:00
monitoring model usage 00:00:00
monitoring data drift 00:00:00
Creating Azure ML pipelines for the batch inferencing
configuring ParallelRunStep 00:00:00
configuring computing for batches of inferencing pipeline 00:00:00
publishing batches inferencing pipelines 00:00:00
running batches inferencing pipelines & obtain outputs 00:00:00
obtaining outputs from the ParallelRunStep 00:00:00
Publishing Azure ML designers pipelines as web service
creating targeted compute resources 00:00:00
configuring inference pipelines 00:00:00
consuming deployed endpoints 00:00:00
Implementing pipelines with Azure ML SDK
creating pipeline 00:00:00
passing data between each and every steps in the pipelines 00:00:00
running pipelines 00:00:00
monitoring pipelines runs 00:00:00
Applying ML practise in Ops
triggering Azure ML pipelines from DevOps 00:00:00
automating model retraining which are based on new data and its change or additionally 00:00:00
refactors notebooks into scripts 00:00:00
implementing source control for scripts 00:00:00
Implementing responsibilities of ML
Using model explainers to interpret model
selecting model interpreter 00:00:00
generating features of importance data 00:00:00
Describing fairness consideration for the models
evaluating model fairness on the prediction disparity 00:00:00
mitigating model unfairness 00:00:00
Describing privacy data considerations
describing principle of various privacy 00:00:00
specifying acceptable levels for noises in the data & effects on the privacy 00:00:00

Features

Recorded Sessions

We provide the video recordings of our classroom sessions and you can rewind and go back for your immediate and future references.


Flexible Timings

The training sessions are customized to the preferences of the students and the session timing is designed to be flexible.


Practical Case Studies

We provide real-time case studies. The materials are purposefully hand-picked to serve the needs of the students.


Communal Forum

We have created a WhatsApp community forum, where you can converse and develop your skills.


Lifetime Access

You will have lifetime and unending access to wealth of our course resources.


Placement Support

We offer you job placement guidance by providing rich interview questions materials and job recruitment

FAQ

Recorded Sessions

We provide the video recordings of our classroom sessions and you can rewind and go back for your immediate and future references.


Flexible Timings

The training sessions are customized to the preferences of the students and the session timing is designed to be flexible.


Practical Case Studies

We provide real-time case studies. The materials are purposefully hand-picked to serve the needs of the students.


Communal Forum

We have created a WhatsApp community forum, where you can converse and develop your skills.


Lifetime Access

You will have lifetime and unending access to wealth of our course resources.


Placement Support

We offer you job placement guidance by providing rich interview questions materials and job recruitment

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