Everything you need to know if you wish to build a career in AI & ML

With the internet of things, there has been a drastic change in the field called Machine learning. Artificial intelligence refers to the development of a computer system so that it can perform human-based tasks. The computer system mimics a human brain. In contrast, machine learning is a specific form of AI that allows the computer system to learn and grow after introducing the data.

AI spreads its roots in sectors like Financial Service, Healthcare, Oil and Gas, Transportation etc. AI and Machine learning are progressing a lot day by day. Both people and companies benefit from AI. Consumers use AI for ride-sharing apps, as personal assistants or for streaming the services. Businesses also use AI to access risk, cut the cost, boost research and innovation.

Three Main Stages of AI

AI is rapidly evolving, which is one of the main reasons why AI courses are in demand. The three stages include:

• Stage 1: Machine learning

It consists of an intelligent system using algorithms to learn from the experience.

• Stage 2: Machine Intelligence

In this stage, machine learning is done from fake algorithms. It is a more evolved form of learning from experiences.

• Stage 3: Machine Consciousness

Under this stage, the system can do self-learning based on the experiences without any data.

Understand AI Career Landscape

AI is a sound career option with lots of growth prospects in the near future. If you want to build your career in AI, then be optimistic and prepare for a great career.

Popular Job Roles

Career opportunities in the field of AI are numerous, which includes:

• Machine Learning Engineers

One must have a perfect knowledge of software skills, apply predictive models and utilise natural language processing while working on big data.

• Robotic Scientist

For a robotic scientist, it is essential to have at least a bachelor's degree related to computer science or engineering.

• Data Scientist

You should have experience using big data platforms and tools like Hadoop, Pig, Python, spark etc., to be a data scientist.

• Research Scientist

You should have strong knowledge of different AI disciplines to be a research scientist.

Skills Required

AI is an emerging profession that requires the following skills to excel in the field:

Technical skills

Being proficient in these languages is extremely important. This will help to understand concepts like data structure and classes.

• Statistics, Linear Algebra and Calculus

Proper understanding of probability and various models like Naive Bayes, Gaussian Mixture are advisable.

• Natural Language Processing

It helps computers to understand and process human language. They get the computer closer to a human level of understanding.

Non Technical Skills

To become a successful AI engineer, it is necessary to know non-technical skills also, which includes:

For the artificial intelligence course, there are various online classes available. Hero Vired offers integrated programs in Data Science, the machine learning online course and AI courses with the right tools. With their course, you can become a leader and a game-changer that the world needs.

Their full-time course is designed to make you proficient in the industry. Upon completing the course, you will receive a certificate from Hero Vired in collaboration with MIT, MicroMaster Credentials, and post-graduate certification from BML Munjal University. For more information, you can visit their website!