---
# System prepended metadata

title: 42 SACE TRIAL DAYS - New Students
tags: [AWS, '42']

---

###### tags: `42` `AWS` 

# 42 SACE TRIAL DAYS - New Students

:::info
:bulb: This is the SACE Trial Days. 
:::

## 🎉 Welcome

Hi:smile: Welcome to `42 Adelaide` SACE CLOUD Trial Days!!


## :book: AWS Student Information
Get to know your AWS Team
 
:small_blue_diamond: **Monica Moorfield**: AWS Skills to Jobs Senior Program Manager [:link:](https://www.linkedin.com/in/monicavanderkley/) 

:small_blue_diamond: **Arran Peterson**: Solutions Architect [:link:](https://www.linkedin.com/in/arranpeterson/)


### AWS Week ###



| Day | Time | Topic |
|---------|-----------------|-----------------------|
| Monday 22 May | 9:30am - 5:00pm | Working with Data Pt1|
| Tuesday 23 May | 9:30am - 5:00pm | Working with Data Pt2 |




## :white_check_mark: Checklist


### :small_orange_diamond: Monday 
Today we are using Event Engine to access the course content.

**Get your AWS Account:**
Follow the steps on this page to go to the Event Engine Terms & Conditions and enter the Event Hash. 
https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/30-howtostart/awseevnt

*Note: Your email isn't stored, its just used to send the one time passcode (OTP)*

**Event Hash:** See Slide

**Deploy the Labs:**
We will have to deploy the labs manually today, which is under section CloudFormation Template

https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/30-howtostart/cloudformation

*Hint: Launch the stack using the orange button* 

**Labs**
The labs sections we will complete are 
* [Profiling and Data Quality](https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/30-profiling)
* [Standard Transform](https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/40-standardtransform)
* [Advanced Transform](https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/60-advancetransform)
    * Please complete [Optional: Visualize in QuickSight](https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/60-advancetransform/visualizeinquicksight)



The day will be delivered as follows:

| Workshop | Start Time | Topic | Duration |
|---------|----------|------------------------|----------|
| One | 9:30am | Intro to Glue Databrew | 30m |
| Two | 10:00am | Profiling and Data Quality | 1hr |
| - | **11:00am** | **Break** | **15m** |
| Three | 11:15am | Standard Transform | 45m |
| - | **12:00pm** | **Break** | **1hr** |
| Four | 1:00pm | Advanced Transform | 1hr |
| - | **2:00pm** | **Break** | **15m** |
| Five | 2:15pm | Treasure Hunt| 3hr |
| - | **5:00pm** | **Day Ends** | - |

**Treasure Hunt:**
Databrew: testmoz.com/12781490
Passcode: 42@del@ide

**Technology Overview**

[AWS Glue DataBrew](https://aws.amazon.com/glue/features/databrew/) is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalise data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, and correcting invalid values, and other tasks. After your data is ready, you can immediately use it for analytics and machine learning projects. 

#### Lab Overview
https://catalog.us-east-1.prod.workshops.aws/workshops/6532bf37-3ad2-4844-bd26-d775a31ce1fa/en-US/20-workingdataset

Company ABC is an online pet product retailer. They have recently launched a new product line for pets. They were expecting it to be a great success but sales from some regions were below their expectation. Marketing research suggests that limited awareness about the product in those regions is the main reason for inadequate sales. To address this problem, they want to start a targeted mail campaign in those regions to increase awareness and product sales. The team needs a fast turnaround and they don’t have much time to write code and manage infrastructure.

**Actions**: The team needs to analyse and transform customer, product, and sales data to compare and contrast sales of two product lines and identify postcodes where specific product types need to be marketed. The students will perform these tasks and complete the following labs.



### :small_orange_diamond: Tuesday 

Today we are using the new Workshop Studio to access the course content.

**Get your AWS Account:**
Follow the steps on this page to go to the Workshop Studio Terms & Conditions and enter the Event access code. 
https://catalog.workshops.aws/canvas-immersion-day/en-US/0-prerequisites/instructor-led-ee
**Event access code:** 

**Labs**
* [**Prediction Machine Failure Types (Manufacturing)**](https://catalog.workshops.aws/canvas-immersion-day/en-US/1-use-cases/6-manufacturing)
* [**Supply chain delivery on-time (Transport & Logistics)**](https://catalog.workshops.aws/canvas-immersion-day/en-US/1-use-cases/7-supply-chain)
* Customer Churn (Marketing)
* Housing Pricing (Real Estate)
* Demand Forecasting (Retail)
* Loan Default Prediction (Financial Services)
* Diabetic Patient Readmission Prediction (Healthcare)


https://catalog.workshops.aws/canvas-immersion-day



The day will be delivered as follows:

| Workshop | Start Time | Topic | Duration |
|---------|-----------------------|------------------------|--------|
| One | 9:30am | Intro to Amazon SageMaker Canvas | 30m |
| Two | 10:00am | Set the scene for Labs | 15m |
| Three | 10:15am | Predicting Machine Failure Types (Manufacturing) | 90m |
| - | **11:45am** | **Break** | **1hr** |
| Four | 12:45pm | Supply chain delivery on-time (Transportation and Logistic) | 90m |
| - | **2:15pm** | **Break** | **15m** |
| Five | 2:30pm | Treasure Hunt| 2hr |
| - | **4:30pm** | **Day Ends** | - |

**Treasure Hunt:**
SageMaker: testmoz.com/12786100
Passcode: 42@del@ide

**Technology Overview**

Amazon SageMaker Canvas expands access to machine learning (ML) by providing students with a visual interface that allows them to generate accurate ML predictions on their own—without requiring any ML experience or having to write a single line of code.

With [Amazon SageMaker Canvas](https://aws.amazon.com/sagemaker/canvas/), you can import data from disparate sources, select values you want to predict, automatically prepare and explore data, and quickly and more easily build ML models. You can then analyse models and generate accurate predictions with a few clicks. 


#### Workshop
Self-paced lab that allows students to enable themselves or others into using no-code Machine Learning and Amazon SageMaker Canvas to solve real-world challenges based on publicly available datasets. While it is expected for anyone to be able to use SageMaker Canvas in complete autonomy.

---


## Additional Reading ##
* [IT skills training, certifications benefit both organizations and employees](https://aws.amazon.com/blogs/training-and-certification/skillsoft-it-skills-and-salary-report-2022/)
* [When cloud curiosity leads to a career transformation](https://aws.amazon.com/blogs/training-and-certification/when-cloud-curiosity-leads-to-a-career-transformation/)
* [What's The Difference Between A Data Warehouse, Data Lake, And Data Mart?](https://aws.amazon.com/compare/the-difference-between-a-data-warehouse-data-lake-and-data-mart/)
* [Learn About Data analytics](https://aws.amazon.com/training/learn-about/data-analytics/)

## External Sources ##
These resources have been collated from student experience and aren't affiliated with AWS. 


# FAQ #

### Online Learning ###

**What is [AWS Educate](https://www.awseducate.com/)?**
* Cloud computing can open the door to exciting opportunities in technology or business. AWS Educate provides simple, barrier-free access to secure, authentic, self-graded labs in the AWS Console with just an email address. Learn, practice, and evaluate cloud skills in real time without creating an Amazon or AWS account. AWS Educate offers hundreds of hours of free, self-paced online resources designed specifically to help pre-professional learners develop in-demand cloud skills. You’re in control of your learning journey: follow personalized content recommendations to earn badges that demonstrate your skill mastery and search the job board to find employers looking to hire for in-demand roles.  

Follow the track that interests you that are aimed at specific role, include Software Development Engineer, Data Scientist, Cyber Security Specialist with over 30hrs of content each.

**What is [AWS Skill Builder](https://explore.skillbuilder.aws/)?**
* AWS Skill Builder is a repository of over 700 training lessons to help you learn AWS and refine your knowledge of AWS services and improve your skills so you can put them into practice or apply the knowledge during the many AWS certifications.  

Find **AWS Cloud Quest** on Skill Builder. Cloud Quest is the only role-playing game to help you build practical AWS Cloud skills. Choose the role — Cloud Practitioner for Free and complete the 11 quests which will help you study for [Cloud Practioner AWS Certification](https://aws.amazon.com/certification/certified-cloud-practitioner).
