CHATBOT
Prepare the Dependencies. The first step in creating a chatbot in Python with the ChatterBot library is to install the library in your system.Import Classes.Create and Train the Chatbot.Communicate with the Python Chatbot.
Maker
Requirements
- A person with validated and verified projects
- Developing more than one chatbot
- In production for a client or for their employer
Expert
Requirements
- A person with validated and verified projects
- Developing at least three chatbots
- Production for a client or for their employer
- At least one-year of directly maintaining a chatbot in production.
Master
Requirements
- A person with validated and verified projects
- Developing more than five chatbot
- In production for a client or for their employer
Or more than two-year of directly maintaining a chatbot in production. - A Master must have two or more Expert certifications in the same technology.
Object Recognation
Deep learning techniques have become a popular method for doing object recognition. Deep learning models such as convolutional neural networks, or CNNs, are used to automatically learn an object’s inherent features in order to identify that object. For example, a CNN can learn to identify differences between cats and dogs by analyzing thousands of training images and learning the features that make cats and dogs different.
Maker
Requirements
- A person with validated and verified projects
- Developing more than one chatbot
- In production for a client or for their employer
Expert
Requirements
- A person with validated and verified projects
- Developing at least three chatbots
- Production for a client or for their employer
- At least one-year of directly maintaining a chatbot in production.
Master
Requirements
- A person with validated and verified projects
- Developing more than five chatbot
- In production for a client or for their employer
Or more than two-year of directly maintaining a chatbot in production. - A Master must have two or more Expert certifications in the same technology.
National Language Processing
Natural language processing (NLP) is a branch of artificial intelligence within computer science that focuses on helping computers to understand the way that humans write and speak. This is a difficult task because it involves a lot of unstructured data.
Maker
Requirements
- A person with validated and verified projects
- Developing more than one chatbot
- In production for a client or for their employer
Expert
Requirements
- A person with validated and verified projects
- Developing at least three chatbots
- Production for a client or for their employer
- At least one-year of directly maintaining a chatbot in production.
Master
Requirements
- A person with validated and verified projects
- Developing more than five chatbot
- In production for a client or for their employer
Or more than two-year of directly maintaining a chatbot in production. - A Master must have two or more Expert certifications in the same technology.
Real Time Video Processing
Video data is a common asset which is used everyday, whether it is a live stream in a personal blog or security camera in a manufacturing building. A machine learning appliance is becoming a normal tool for processing video in a variety of tasks.The video processing approach in this article is considered within the context of a personal data security application which was developed by the MobiDev Team.
Maker
Requirements
- A person with validated and verified projects
- Developing more than one chatbot
- In production for a client or for their employer
Expert
Requirements
- A person with validated and verified projects
- Developing at least three chatbots
- Production for a client or for their employer
- At least one-year of directly maintaining a chatbot in production.
Master
Requirements
- A person with validated and verified projects
- Developing more than five chatbot
- In production for a client or for their employer
Or more than two-year of directly maintaining a chatbot in production. - A Master must have two or more Expert certifications in the same technology.
Recommendation Engine/Churn Prediction/Fraud Detection
In fraud detection, machine learning is a collection of artificial intelligence (AI) algorithms trained with your historical data to suggest risk rules. You can then implement the rules to block or allow certain user actions, such as suspicious logins, identity theft, or fraudulent transactions.
Maker
Requirements
- Person with a validated and verified projects
- Developed at least one use case Recommendation engine, Churn Prediction, or Fraud Detection
- Either in lab setting or in production.
- The assumption here the candidate have basic foundation in Machine Learning algorithm, statistics, linear algebra.
Expert
Requirements
- Person with a validated and verified project
- Developed at least one use case along the above areas of major Machine Learning Recommendation engine, Churn
- Prediction,or Fraud Detection
- Have at least one-year of directly maintaining at one ML model in production along these use cases.
Master
Requirements
- Person with a validated and verified project
- Developied more than five machine learning models in production for a client or for their employer
- More than two-years of directly maintaining at any of the above ML Use Cases.
- A Master must have two or more Expert certifications in ML or MLOPS – ML Operations / MLDev Ops- related technolgies.