Cyber Security & Ethical Hacking

I am sure you must have wondered that AI & ML are the same concepts as people usually use them as a synonym for each other, but still, both are two different terms in various cases. The full form of AI is artificial intelligence and the Full form of ML is machine learning

On a vast level, we can differentiate both AI and ML as:

AI is a greater idea to create intelligent machines that can recreate human thinking capability and behavior, whereas, machine learning is an application or variant of AI that allows machines to learn from data without being programmed in a detailed manner.

To be simpler let’s assume AI and Ml as Robots

AI robot does not require being pre-programmed, instead of that, they use such algorithms which can work with their own intelligence. It involves machine learning algorithms such as Reinforcement learning algorithms and deep learning neural networks. AI is being used in multiple places such as Siri, Google Home, AI in Chess playing, etc. There are three different types of AI based on their capabilities which are

  • Weak AI
  • General AI
  • Strong AI

MI robot is about extracting knowledge from the data. It can be defined as,

Machine learning is a subdivision of artificial intelligence, which enables programs or machines to learn from past data or experiences without being explicitly programmed. For example, if we create a machine learning model to detect a picture of a bike, it will only give results for bike images, but if we provide a new data like a car image then it will become unresponsive. For example in daily use when we use youtube we get recommendation of videos which we often used to see so this uses machine learning to know which videos are of your interest. This is also used in Google search algorithms, Email spam filters, Facebook Auto friend tagging suggestions, etc.

There are three types of machine learning which are

  • Supervised learning
  • Reinforcement learning
  • Unsupervised learning

Requirements for learning AI and ML is just to have High school math knowledge and minimum python language which (we also provide python course)

The scope of AI in the future is very good and learning it would be valuable for sure.AI is used in Science and Research

in Cyber Security

in Data Analysis

in Transport

in Home 

in Healthcare


AI is one of the quickest developing areas in the tech sector. Also as you can see obviously, the scope of AI has ventured into numerous areas, including medical care, transport, and security. Because of such development, numerous industries require the ability of talented AI experts.


That is the reason it’s best to turn into an AI master. You may wonder, how can I learn AI?? Don’t worry Sech Tech creation is here to teach you AI in an easy, unique and different way so don’t forget to enroll in our AI courses



The scope of Machine Learning in India, just as in different areas of the world, is high in contrast with other career fields with regards to job opportunities. As of research, there will be 2.3 million positions in the field of Artificial Intelligence and Machine Learning by 2022. So don’t be lazy thinking this a weak niche as An ML engineer in India earns an average salary of 687,250. This is more than other related tech jobs like data scientist, software engineer and data analyst. What are you waiting for?? Just quickly enroll in our ML course and start your career in this field


Happy Learning