AI School ("Port Harcourt School of AI")

AI School ("Port Harcourt School of AI")

Learn Applied Machine Learning with Google AI's Explore ML Program

Learn Applied Machine Learning with Google AI's Explore ML Program

Hello, community!

Explore Machine Learning with Crowdsource is a Google program to get started with Machine Learning. You will learn through hands-on workshops where participants (that's hopefully you!) learn theoretical concepts and hands-on exercises with the help of a facilitator(s) trained by experts from Google AI, and are practitioners or researchers in the field of AI (artificial intelligence) and/or data science.

Learn more about how to participate and get rewards in this article.

A Tweetable Summary of the Article (Twitter-style 280 Characters)

Learn applied ML from Google AI and Crowdsource-powered workshops. Explore Machine Learning helps you get started with the fundamentals of ML through hands-on labs. Connect with fellow learners to solve problems with ML and earn a certificate from Google. Reg here: bit.ly/eml-nig


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Table of Contents

  1. What Is The Google AI and Google Crowdsource Explore ML Program?

  2. About The Beginner Track.

  3. What Are The Benefits Of Signing Up and Attending?

  4. What's The Learning Path and Curriculum Like?

  5. How Do You Sign-Up?

  6. What Will You Need to Qualify For To Class?

  7. Code of Conduct.

  8. Side Notes (May Be Worth A Look! πŸ‘€)

    i. Who Are The Facilitators?


About The Google AI and Google Crowdsource Explore ML Learning Program?

The learning curriculum for this program consists of 2 tracks; beginner and intermediate tracks. Each track includes;

  • Modules on key Machine Learning concepts.

  • Hands-on exercises on ML materials and labs.

  • Course completion certificate.

About The Beginner Track

As mentioned, there are two tracks involved in this program; the beginner track and the intermediate track. This particular workshop focuses on the beginner track for people with little or no experience in Machine Learning to get started;

βœ” Playing with Machine Learning tools and services,

βœ” Thinking about ways to solve problems with Machine Learning, and

βœ” Pitching ideas on how to go about solving such problems in their community.

βœ” And then get a course certificate of completion at the end of the course.

🎁 What Are The Benefits Of Signing Up and Attending?

The biggest motivation for this workshop, really, is the acquisition of knowledge and skills that would be valuable to your future. Some other benefits of signing up and completing the course include;

  1. Free domain name for 1 year (for your personal blog and business) if you are among the first 20 people to download the Crowdsource application using this invite link, and as well register for the workshop. (Tc & Cs apply; keep reading to learn them.)

  2. Acquire foundational Machine Learning knowledge.

  3. Build a network of like-minded, passionate individuals excited about the applications of Machine Learning in their various communities.

  4. Beyond having live interactive sessions with Google AI-trained facilitators, you'll get to interact with other learners and beginners just like you in our community.

  5. Recieve an end-of-course completion certificate validated by Google, if you attend all sessions.

  6. Working on beginner-friendly hands-on Machine Learning and AI labs.

  7. Get to learn about Google Crowdsource and share your ideas for ML-related problem statements that crowdsourcing can solve.

🧭 What's The Learning Path and Curriculum Like?

The learning path provided for this particular workshop is a beginner-friendly track and the only pre-requisite you'd need is some basic knowledge of how the computer works, prior knowledge of programming and Machine Learning will be helpful but not required.

The course format involves;

  • Theoretical principles (of ML) overview.

  • Hands-on activities (practical experience).

  • Course certificate completion.

Here’s the curriculum for the beginner track:

  1. Introduction to Machine Learning/Computer Science.

  2. From Idea to Implementation.

  3. Privacy in Machine Learning.

  4. Neural Networks.

  5. Group presentation.

Take a look at the agenda below;

Worksop Agenda.png

πŸ€”How Do You Sign-Up?

To sign-up and be among the first 20 persons to receive a free domain name* for 1 year (starting from $12 on GoDaddy) you can use for your personal blog or business, you should take the following steps;

  1. Download the Crowdsource application using this link if you are on an Android device. (When prompted, use the invite code: D5BADA, and click apply.)

    If you are an iOS user, you can contribute on Crowdsource web by clicking on this link. (When prompted, use the invite code: D5BADA, and click apply.)

  2. Click this link to sign-up for the workshop so you can get direct access to the workshop.

  3. Share the tweetable summary along with the flyer on your social media with hashtags #Googlecrowdsource #ExploreML and tag us on Twitter @PHCSchoolOfAI.

And that's it! If you are among the first 20 people to register, you will get an email from us on steps to claim your offer valid till the 30th of November 2020. We would also consider giving additional prices to persons with the most engagement on social media (we are most active on Twitter).

*Only participants that download the application using the invite code (D5BADA), and participants that use Crowdsource on the web will be eligible for the free domain name.

πŸ™‹πŸ½β€β™‚οΈπŸ™‹πŸ½β€β™€οΈWhat Will You Need to Qualify For To Class?

Here are some prereqs (fancy word for "prerequisites" 😎) you need to have to be successful with this course;

  1. You need to have a Chrome browser installed on your PC (alternatives are Microsoft Edge and Brave).

  2. You need to have adequate access to the internet. The workshop will be quite lengthy between the 2 days; 1hr 30 mins on Friday and 2 hrs 30 mins on Saturday. (But don't worry, as seen on the agenda, the class is structured in such a way that there are adequate break sessions in between topics.)

  3. And finally, be curious and have an open mind to learn, connect with other learners, and grow!

βš– Code of Conduct

Just a heads-up on some couple of good conduct participants are expected to be on;

  1. You will not engage in disruptive speech or behaviour or otherwise interfere with other individuals’ participation in the workshop.

  2. You will comply with the instructions of the facilitators of the workshop.

  3. You will not attempt to receive benefits that you are not entitled to before, during, and after the workshop.

  4. You will not engage in any form of harassing, offensive, discriminatory, or threatening speech or behaviour, including but not limited to relating to race, gender, gender identity and expression, national origin, religion, disability, marital status, age, sexual orientation, or other protected category.

  5. You will behave in a way that facilitates a safe and supportive environment before, during, and after the workshop

See you in class! - Your facilitators.


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Side Notes (May Be Worth A Look! πŸ‘€)

πŸ‘©πŸ½πŸ§‘πŸ½ Who Are The Facilitators?

Explore ML with Crowdsource Facilitators.png

Your facilitators have been trained in both technical and professional capacities by experts from Google AI, to be able to facilitate this workshop. The whole essence of introducing your facilitators this way is to not just show you their professional side, but also their human side as well so you can connect with them.

Stephen Oladele πŸ‘¨πŸ½

Stephen Oladele is an Explore ML facilitator for Google AI and Crowdsource. He's a technical reviewer at Packt Publishing Company for Machine Learning Operations and Data Science books set for release between fall 2021 and spring 2022. He's also a community builder for AWS Cloud, under the fall 2020 AWS Community Builders' Program where he works with the AWS products team to give real-time feedback on AWS Machine Learning tools (both alpha and beta releases), learn how to use these tools from AWS experts, curate technical content on AWS data and Machine Learning tools, and work together with AWS Heroes. He's a full-time independent Data Science consultant.

His Interests: He's pretty much interested in life-long learning, humanity, accessibility, community building, and social change actions.

In his spare time, he loves;

  • Spending time with close friends and people (interested in hanging out),

  • Listening to The Economist's weekly issues,

  • Reading and listening to books (sci-fi, documentary, self-help),

  • Podcasting (he is the host of this podcast),

  • Learning culture, history, art, and languages.

  • Listening to loFi, calming rhythms and a mix of other genres (his favourite artists are The Eden Project, Gryffin, Nick (Illenium), Seven Lions, Sunday Service Crew).

  • Binge-watching YouTube videos on topics such as (American) political satires, Leo Messi's highlights, work and personal productivity, TED talks, as well as an avid watcher of the TED-Ed animated series.

  • Teaching technical concepts, and designing instructional materials.

His favourite quote is from a favourite human of hisβ€”Leo Messi: "The goal is not to be the best, it is to get better every year."

🀝🏽 You can connect with him on LinkedIn and Twitter.

Philip Obiorah πŸ‘¨πŸ½

Philip is a Co-Organizer, Google Developer Group(GDG) Cloud Port Harcourt, facilitator Port Harcourt School of AI, Crowdsource Influencer, Google Explore ML with Crowdsource facilitator, and a PhD. Student at the Department of Computer Science, University of Port Harcourt, Nigeria with research area in Machine Learning; Natural Language Processing. He is an Oracle Certified Professional and member of the Nigerian Computer Society.

He loves;

  • Teaching,

  • Community building,

  • And bridging the gap between Academia and the Tech Industry.

His favourite quote is: "A candle loses nothing by lighting another candle."

🀝🏽 You can connect with him on LinkedIn and Twitter.


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