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Beginners Level

Program Overview

It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory level, you will get hands-on practice with machine learning as it applies to language processing and Image processing. All of that through 3 quests on Qwiklabs platform:

  1. Intro to ML: Image Processing
  2. Intro to ML: Language Processing
  3. Exploring APIs

Prerequisites

To be able to take this course you will need to know at least one programming language

Curriculum

1- Intro to ML: Image Processing

Using large scale computing power to recognize patterns and “read” images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

Open the quest on Qwiklabs

Quest Outlines
In this lab you train and deploy a TensorFlow model to AI Platform for serving (prediction).
In this lab you’ll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.

2- Intro to ML: Language Processing

It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.

Open the quest on Qwiklabs

Quest Outlines
In this lab you train and deploy a TensorFlow model to AI Platform for serving (prediction). Watch these short videos Harness the Power of Machine Learning with AI Platform and AI Platform: Qwik Start – Qwiklabs Preview.
The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start – Qwiklabs Preview
The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start – Qwiklabs Preview.
The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

3- Exploring APIs

Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.

Open the quest on Qwiklabs

Quest Outlines
This lab will teach you about the architecture and basic functioning of Application Programming Interfaces (APIs). This will be supplemented with hands-on practice, where you will configure and run Cloud Storage API methods in Cloud Shell.
In this lab you’ll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.
In this lab you will use the APIs Explorer tool to create Cloud Storage buckets, upload data to the bucket, and remove content from buckets.
In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.
Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.
In this lab, you will get hands-on practice configuring and deploying an App Engine instance with the APIs Explorer tool.
The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start – Qwiklabs Preview.

Follow the following Steps to get 1 Month Free Subscription on Qwiklabs

  1. Register to the level on AI Talents Hub
  2. Sign in or register to Qwiklabs.
  3. Follow the exact activation link (In the confirmation  email).
  4. Enroll to the Image Processing Quest.
  5. You MUST click Start Lab on the first lab in this quest.
  6. You will be given only 1-9 credits to start 1st lab.
  7. Wait for 10 seconds then click on End Lab.
  8. Refresh the page and click on your profile icon, you will be given one free month access. (may take up to 5 minutes to be redeemed)

The registration process step by step (Click on the thumbnail below)

Claim Certificate

After completing the 3 Quests:

  1. Image Processing
  2. Language Processing
  3. Exploring APIs

Press on the button Claim Certificate and fill in the form with your data to proof the level completion and your readiness to the Intermediate level.

How to get the public profile link?

Live Stream Session

Weekly Schedule

  • No available scheduled sessions

Recorded Sessions

Watch the recorded sessions on the youtube channel: http://bit.ly/MLEG-Sessions

What are the details of the Beginners Level?

You need to finish the 3 quests on Qwiklabs to finish the course and submit your public profile

Where do I find the previous sessions?

Where can I watch the live sessions?

Check the “Supportive Sessions” tab.

In what order should I finish the quests?

There is no specific order, feel free to finish the quests and watch the sessions in any order

What are the quests?

  1. Language processing,
  2. image processing and
  3. Exploring APIs

What is the live sessions schedule?

Every Monday, Wednesday and Thursday from 5:00 pm to 7:00 pm

How much time do I have to finish the quests?

The estimated time is written in the overview of each quest but you could finish earlier than that

What extra quests should I finish for extra learning?

  • Baseline: Infrastructure
  • Advanced ML: ML Infrastructure
  • Intermediate ML: TensorFlow on GCP
  • Baseline: Data, ML, AI

How can I get the activation link?

Press on Register and fill in the form. After submitting the form you will find the activation link in the confirmation message. In addition you will receive it on your email.

How to get the monthly subscription in Qwiklabs?

Check “Activate Subscription / Claim Certificate” Tab

Why do we use ML in the cloud?

You need: Huge amounts of data, Computing power, powerful CPUs and GPUs, Resources. Who has that?
Solution: Use the resources offered by Google

What is Qwiklabs?

Qwiklabs is an online educational website like Coursera and Udacity but there is a great difference.

Qwiklabs offers a virtual environment on the Google Cloud Platform so you could learn how to apply a specific function using a step by step guide using the powerful resources Google offers.

Do I need to get the full score?

Yes. If you didn’t get the full score, retry the lab and follow the steps correctly to get the full score

Do I need to stick to the time written on the quest/lab?

Yes. If the time is up and the lab isn’t done, you will have to retry the lab

How many tries per lab? What if I need to try the lab again?

5 tries per lab. You can contact the support at Qwiklabs to request another 5 tries per lab

Why do I use Incognito mode?

To avoid any issues with mixing your personal account and the account credentials offered by Qwiklabs in each lab. DO NOT use your personal account when solving a lab

Why would my account get blocked?

Your account could be blocked if you use extra resources or opening several accounts. Each lab offers certain services and you are not allowed to use extra services

How do I contact Qwiklabs support?

Email them at support@qwiklabs.com

In Partnership with:

STARTS ON    December, 2020
ENDS BY           December, 2021

DURATION     1 Month
(Level completion)

LEVEL                Beginners

ONLINE          100%

3 Badges from QwikLabs
1 Certificate from Mahara-Tech

Whatsapp

01101943091

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aihub-ml@iti.gov.eg