On this blog, We’ll cover Cloud AI Solutions. What’s No Code , Low Code AI Solutions. Why it’s important and the way you’ll be able to start.

Well, Artificial intelligence and machine learning is a tough process. It starts with solving a business problem with a machine learning algorithm.

With the intention to run the algorithm, you wish massive amounts of information, storage to store the info, compute to remodel the info to the format your ML algorithms understand and lastly you wish compute to coach the model itself. Once you’ve trained the model, you’ve to take into consideration improving model accuracy, for that you just would wish extra compute to run hyperparameter tuning jobs.

Finally, you bought your perfect model, which you should publish.On this scenario you’ve to take into consideration hosting a model on a server and in addition scaling your models in case it becomes popular.

With Low/Code no code Cloud AI solutions, you would not have to fret about all this infrastructure heavy lifting and management. You get APIs for common use cases resembling Text Classification, Image classification or chatbots. You may directly use these API by sending a request and also you get a response back. These APIs are server less and managed by Cloud providers resembling AWS or Google.

Cloud providers resembling Google and Amazon has created Solutions or APIs to resolve common business problem in vision, Natural language processing, translation, chatbots etc and created an API to finish user.

Any user who have no idea learn how to code or have no idea the nitty gritty of model training, model deployment or model tuning can just start with the pre -trained model provided by the low code/no code APIs.

What’s pre trained model? These models are already trained to resolve a task so it provides a baseline to you when you should start with machine learning.

You may easily implement these solutions with easy API call in your web applications or mobile applications. Within the AWS NLP book with Prem Ranga

You can see easy to make use of example code with datasets on learn how to architect a scalable no code/low code solution using Amazon AI Services.

A few of the industry examples covered are

1. Document classification
2. Find out how to create intelligent search solution.
3. Find out how to create a chat bot
4. Advanced topics- learn how to train these low code/no code pretrained APIs using AutoML or transfer learning.

In the subsequent blog, I’m going to speak about a number of the low code/no code solutions provided by Google.