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.
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
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Bilgi-işlem alanında günümüzün en gözde konuları büyük veri, makine öğrenimi ve yapay zekadır. Ancak önemli ölçüde uzmanlaşma gerektiren bu alanlar hakkında giriş niteliği taşıyan bir materyal bulmak kolay değildir. Neyse ki Google Cloud bu alanlarda kullanıcı dostu hizmetler sunuyor. Qwiklabs ise bu giriş düzeyi görevle desteğe hazır. Artık Big Query, Cloud Speech API ve AI Platform gibi araçlarla ilk adımlarınızı atabilirsiniz. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız. Biraz daha yardıma mı ihtiyacınız var? Her laboratuvarda, anahtar kavramlarla ilgili 1 dakikalık yol gösterici videolar bulunur.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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Getting Started - Create and Manage Cloud Resources görevinden daha üst seviyede pratik yapmak isteyen, sınırlı deneyime sahip bir bulut geliştiricisiyseniz bu görev tam size göre. Cloud Storage ve Stackdriver ile Cloud Functions gibi diğer önemli uygulama hizmetlerini konu alan laboratuvarlar sayesinde pratik deneyim sahibi olacaksınız. Bu göreve katılarak herhangi bir Google Cloud girişiminde kullanabileceğiniz değerli beceriler edineceksiniz. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız. Laboratuvarlarda, anahtar kavramlarla ilgili 1 dakikalık yol gösterici videolar bulunur.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Learn more
Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
Intro to ML: Language Processing
Earned May 2, 2023 EDT
Baseline: Data, ML, AI
Earned May 2, 2023 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earned Nis 27, 2023 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Nis 26, 2023 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Nis 24, 2023 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Nis 24, 2023 EDT
Baseline: Infrastructure
Earned Nis 20, 2023 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Nis 20, 2023 EDT
Implement Load Balancing on Compute Engine
Earned Nis 13, 2023 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Nis 10, 2023 EDT