WSQ - Microsoft Azure Data Scientist Associate (DP-100)

Topic 1: Explore the Azure Machine Learning workspace

• Explore Azure Machine Learning workspace resources and assets
  • Create an Azure Machine Learning workspace
  • Identify Azure Machine Learning resources
  • Identify Azure Machine Learning assets
  • Train models in the workspace
• Explore developer tools for workspace interaction
  • Explore the studio
  • Explore the Python SDK
  • Explore the CLI

Topic 2: Work with data in Azure Machine Learning

• Make data available in Azure Machine Learning
  • Understand URIs
  • Create a datastore
  • Create a data asset 

Topic 3: Automate machine learning model selection with Azure Machine Learning

• Find the best classification model with Automated Machine Learning
  • Preprocess data and configure featurization
  • Run an Automated Machine Learning experiment
  • Evaluate and compare models

Topic 4: Train models with scripts in Azure Machine Learning

• Run a training script as a command job in Azure Machine Learning
  • Convert a notebook to a script
  • Run a script as a command job
  • Use parameters in a command job
• Track model training with MLflow in jobs
  • Track metrics with MLflow9 min
  • View metrics and evaluate models

Topic 5: Optimize model training in Azure Machine Learning

• Run pipelines in Azure Machine Learning
  • Create components
  • Create a pipeline
  • Run a pipeline job
• Perform hyperparameter tuning with Azure Machine Learning
  • Define a search space
  • Configure a sampling method
  • Configure early termination
  • Use a sweep job for hyperparameter tuning

Topic 6: Deploy and consume models with Azure Machine Learning

• Deploy a model to a managed online endpoint
  • Explore managed online endpoints
  • Deploy your MLflow model to a managed online endpoint
  • Deploy a model to a managed online endpoint
  • Test managed online endpoints
• Deploy a model to a batch endpointUnderstand and create batch endpoints
• Understand and create batch endpoints
• Deploy your MLflow model to a batch endpoint
• Deploy a custom model to a batch endpoint
• Invoke and troubleshoot batch endpoints

Final Assessment

• Written Assessment (Q&A)
• Practical Performance

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Year Group : 21-65 years old

Minimum Software/Hardware Requirement

Software:

You need to sign up a Azure account (Credit Card is required).

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

• Data Scientist
• Azure Data Engineer
• Azure Solution Architect
• Machine Learning Engineer
• Cloud Data Scientist
• Data Analytics Manager
• Cloud Solution Consultant
• Azure DevOps Engineer
• AI Developer on Azure
• Data Science Consultant
• Cloud Infrastructure Specialist
• Big Data Engineer on Azure
• Data Platform Specialist
• Machine Learning Operations (MLOps) Engineer
• Cloud Application Developer

Peter Cheong :  I am a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that I Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.

Truman Ng: I am a ACLP certified trainer. With In-depth and diversified experiences from Project Management DevOps, Blockchain, Project Management, Education, IT and even Numerology, I am passionate to meet good people and generate new ideas, in pursuit of realization of better world!

Agus Salim : I am a professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure.

Sanjiv Venkatram: Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers

Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.