Learn to deploy latest AI and ML tools to automate apps on Google Cloud
Cloud DevJam is an interactive cloud-learning platform that allows enterprise IT professionals to learn and upskill on Google Cloud. They can start their learning journey by choosing from various cloud learning modules. These modules provide them with the latest in Google Cloud technologies. One of these is the Artificial Intelligence and Machine Learning track.
Cloud computing is a big shift from the traditional way businesses think about IT resources. It does not just eliminate the capital expense of buying hardware and software but also provides the core abilities to enhance a system’s security, productivity, scalability, and speed.
All in all, cloud tech makes an enterprise future-ready! And, that is exactly why enterprise IT professionals are now in demand to be cloud competent in the mainstream industry. But where can they learn and upskill on cloud technologies, while not hampering their daily day jobs? Well, let’s find out:
Cloud DevJam 2.0
Cloud DevJam is an interactive cloud-learning platform that allows enterprise IT professionals to learn and upskill on Google Cloud.
They can start their learning journey by choosing from various cloud learning modules. These modules provide them with the latest in Google Cloud technologies.
One of these is the Artificial Intelligence and Machine Learning track.
Overview: Artificial Intelligence and Machine Learning on Google Cloud
In domains like customer service, fraud detection, and business analytics, artificial intelligence and machine learning are steadily making their way into workplace applications.
There’s every reason to expect that a considerable portion of it will take place on the cloud. Artificial intelligence is democratising, and the main cloud computing platforms are all betting big on it.
Google has made enormous progress in Artificial Intelligence (AI) and Machine Learning (ML) over the last few years, from launching new services to undergoing massive reorganisations that strategically put AI in the core organisational structures.
So, if the cloud is the destination for your machine learning projects, how do you know which platform is right for you?
In this article, we’ll explore the AI and ML aspects of the Google Cloud Platform and how they can benefit an enterprise IT professional.
Benefits of learning Artificial Intelligence and Machine Learning on Google Cloud
- You can work on the cloud’s custom developmental model which is good for bursty AI or machine learning workloads.
- The cloud makes it easy for enterprises to experiment with machine learning capabilities and scale up as projects go into production and demand increases. That in turn will boost your skillset as an enterprise IT professional, while optimizing your productivity in the enterprise.
- The cloud makes intelligent capabilities accessible without requiring advanced skills in artificial intelligence or data science.
- Google Cloud Platform offers many machine learning options that don’t require deep knowledge of AI, machine learning theory, or a team of data scientists. So, you get to learn one-stop solutions for all your work or organisational requirements.
- Google cloud offers a seamless user experience with One-click Model Build & Deploy with AutoML.
AI / ML tools on Google Cloud
Each component of Google Cloud AI is built as standalone applications or APIs on top of pre-trained models and provides a set of specialist services. This allows developers to add intelligent features without having to train or deploy their own machine learning models.
Cloud Components- Google AI / ML Tools
Image Recognition- Vision API
Video Analysis- Video Intelligence API
Speech to Text- Speech API
Text to Speech- Text-to-Speech API
Translation- Translation API
Linguistic Analysis- Natural Language API
Detect Production defects- Visual Inspection AI
If you’re just getting started with AI on GCP, one of the specialised services is a good place to start, like- the Google Cloud powered Cloud DevJam.
Artificial Intelligence and Machine Learning on Cloud DevJam
Because Google Cloud Platform provides both general-purpose and specialised AI / ML services, you’ll most likely want to stick with GCP for even cross-platform ops for enterprise applications.
As an enterprise IT professional, you get to cover core fundamentals and get hands-on experience in the module of Artificial Intelligence and Machine Learning on Cloud DevJam.
You can learn how to deploy the latest Google Cloud machine learning and artificial intelligence tools to accelerate data and transform your applications.
Get on-boarded right away to upskill yourself and explore the potential of cloud technology via Google Cloud itself. Register now.