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:
To be able to take this course you will need to know at least one programming language
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.
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.
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.
Follow the following Steps to get 1 Month Free Subscription on Qwiklabs
- Register to the level on AI Talents Hub
- Sign in or register to Qwiklabs.
- Follow the exact activation link (In the confirmation email).
- Enroll to the Image Processing Quest.
- You MUST click Start Lab on the first lab in this quest.
- You will be given only 1-9 credits to start 1st lab.
- Wait for 10 seconds then click on End Lab.
- 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)
After completing the 3 Quests:
- Image Processing
- Language Processing
- 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
- No available scheduled 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?
- Language processing,
- image processing and
- 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 email@example.com