• Training Details

    This training is a unique 4 module virtual workshop targeting Exam: DP 100 ->Designing and Implementing a Data Science Solution on Azure. Each module is of 2.5 hrs duration delivered over 4 days. During this online training attendees will prepare for the exam which will require them to use machine learning techniques to train, evaluate and deploy models to build AI solutions that satisfy business objectives. This online training will also help candidates to use applications that involve natural language processing, speech, computer vision and predictive analytics to pass the exam.


    Date: 29th July to 1st Aug

    Timing: 10:30AM to 1:00PM

    Delivery Mode: Virtual

    Duration: 2.5 hrs each day
  • Who Should Attend

    This skilling program is targeted at Developers, Architects and Data Scientists

  • Why You Should Attend

    We are committed to help your team upskill and gain proficiency in AI/ML on Microsoft Azure. As we help you infuse AI into your solution portfolio, it is important that your team gains exposure and builds expertise on Microsoft AI. Moreover, this is a LIMITED period offer in our effort to nurture AI Enthusiasts to gain industry accreditation from Microsoft.

  • Prerequisites

    Attendees who sign up for this program must have attended ‘Microsoft Week of AI’ summit. If you have missed attending, you can catch up all the videos by accessing the Week of AI Content on-demand here. Having a grasp on Microsoft AI Platform services is a must.

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  • Define and Prepare the Development Environment

    • Intro to Azure AI/Ml services
    • Select Development Environment
    • Set up Development Environment
    • Quantify the Business Problem
  • Prepare Data for Modeling
    & Perform Feature Engineering

    • Transform Data Into Usable Datasets
    • Perform Exploratory Data Analysis (EDA)
    • Cleanse and Transform Data
    • Perform Feature Extraction
    • Perform Feature Selection
  • Develop Models

    • Select an Algorithmic Approach
    • Split Datasets
    • Identify Data Imbalances
    • Train the Model
  • Evaluation & Analysis

    • Evaluate Model Performance
    • End to End Case Study
    • Exam Prep
Bhavesh Goswami

Co-Founder & CEO, CloudThat Technologies

Bhavesh has spoken at various Cloud and Big Data conferences and events like ‘7th Cloud Computing & Big Data’ and have been the Keynote Speaker at ‘International Conference on Computer Communication and Informatics’.

Speakers

Shivam Sharma

Subject Matter Expert, CloudThat Technologies

Shivam is a Microsoft Certified Trainer, Microsoft certified solution expert for Cloud platform and infrastructure, Microsoft Certified Solution Associate for Machine Learning, Microsoft Certified Solution developer for Azure platform.

CloudThat in Numbers

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  • 90+

    Trained IT Professionals from more than 90 companies

  • 28+

    Delivered instructor-led online training in more than 28 countries.

  • 99%

    Satisfaction Rate

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