First Ever European Google Developers Machine Learning Bootcamp - Register ASAP!
The first ever Google Developers Machine Learning Bootcamp hosted in Europe will commence soon, so be sure to apply if you're interested. The program covers everything you need to know and helps you transition into an employment position at a company in an ML position.
Created on June 10|Last edited on June 10
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Google Developers are hosting their first ever machine learning bootcamp in Europe, starting in July and spanning through October. The bootcamp is for those who want to break into the industry and learn all about machine learning. With a wide range of hands-on training, competitions, talk sessions, certification exams, and much more (all taking place online), selected applicants will come out with a wealth of knowledge and skills.
With the skills acquired through the 4-month program, participants will also be offered positions at partnered IT companies stationed in Europe with a focus on machine learning tasks. The bootcamp includes sessions for career guidance, and employment opportunities are provided through partnered companies.
Note: If you are a European company that would like to be represented at this bootcamp, you can apply with this link. The deadline is TODAY (June 10th)!
📢 We are recruiting participants for the 1st European @Google #MachineLearning BootCamp from July to October!
— Google Developers Europe (@GoogleDevEurope) May 24, 2022
🔎 Are you aspiring to become a ML #Developer and get a job in the industry? This program is for you!
👉Learn more & Apply before June 20: https://t.co/6tHmd9U0i2 pic.twitter.com/C05lVQJcrd
What will be covered at the European Google Developers Machine Learning Bootcamp?
Each facet of the bootcamp are presented in English and hosted through online interfaces. 15-20 hours per week of studying is expected to complete milestones and progress through the bootcamp. Most costs are funded by Google. Completion of certain aspects grants a completion gift shipped to your residence.
Learn: Participants can look forward to an online training program hosted by Google Brain founding member Andrew Ng and his colleagues. The course is titled Deep Leaning Specialization and is hosted on Coursera. It will help you master the fundamentals of machine learning, and provide insights from industry leaders.
Certify: With your newfound knowledge of everything ML, you'll take certification exams so that you can wear a badge of honor indicating your expertise. Certificates granted through the bootcamp include TensorFlow certificates to represent your ML problem-solving skills, GCP Professional Data Engineer certificates to represent your ability to handle data for ML, and GCP Professional ML Engineer certificates to represent your ability to develop and manage ML projects.
Compete: To show off your learned skills and mastery with certifications, you will participate in ML competitions hosted on Kaggle. Competition subjects will be based on real use-case scenarios, so that you can get an idea for what working in the industry with a team of like-minded ML engineers is really like.
Apply: Finally, apply everything you've gained through learning, exams, and competition to make connections and apply for employment at partnered companies. Sessions that go into detail on the industry will be held alongside career and resume workshops, as well as networking opportunities.
What are the deadlines and how do I apply?
Companies looking to partner with the program must apply by the end of TODAY (June 10th) here: https://goo.gle/ml-europe-companies
Regular applicants that want to take advantage of this opportunity must apply by June 20th here: https://goo.gle/ml-europe-apply
A basic understanding of Python is required, and since all aspects are conducted in English you must have the required language comprehension skills. The bootcamp is meant for people looking for employment, not just wanting to learn ML skills.
The program is very intensive and study is generally self-driven. It takes place over 4 months according to the schedule above.
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