Where do I start a career path in AI?

AI is Z in a set of alphabets ranging from A to Z. Before you can get to Z, you must first study the other alphabets.

It all begins with information. To begin, you must first grasp the notion of data analysis, which you may do by taking a few classes or learning from the internet. Intern at a firm that specializes in Business Intelligence & Analytics.
The following stage is to utilize previous data to forecast the future. This is data science, in which you utilize programming languages like R, Python, or Scala to statistically analyze previous data in order to forecast the future. This will be your first foray into the field of artificial intelligence.
Machine learning is used in predictive models to infer the future from the past. This isn’t technically AI, either. This is known as supervised learning, and it is based on human-defined indicator variables.

You must be well-versed in the creation of prediction models as well as the idea of supervised learning (Random Forest, SVM, Logistic regression, etc)
The way we humans learn, AI is classified as really unsupervised learning, experiential learning, or deep learning. Through real-life events, we learn about the notion of learning. This is the direction in which AI is presently headed. This necessitates a thorough grasp of neural networks and other deep learning methods.

Image identification, facial recognition, and healthcare illness diagnoses are some of the key challenges being tackled in the field of deep learning. You must have a strong foundation in computer science and mathematics.

Artificial Intelligence or AI is influencing industries situated across the GLOBE. Even Forbes in its research, reported that the growth rate of AI job role around 70% This has enforced the tech-professionals to estimate what those job roles could be which can lift their career graph. With a capability of AI bringing new facet of data, it had opened avenues for a new field and revenue worldwide. It has bolstered in understanding of current customers’ requirements and acquiring a new market. As a growing form of technology, professionals specializing in AI are needed in numbers. This has opened a new employment chain, career opportunities, and varied roles.

  1. User Experience: Working with products to help customers understand their function which they can use it easily
  2. Natural Language Processing: It includes the new addition of chatbots and visual assistants on various sites.
  3. Researcher: The work of reseracher for discovering ways to advance in AI tech.
  4. Research Scientist : An expert in math, machine learning, and stats to research more in the field of AI and its application
  5. Software Engineer: Someone who can develop programs on which AI tols can function effectively
  6. Data Mining & Analysis: Someone who can find anomalies, patterns, etc., within large data sets to predict outcomes.
  7. Machine Learning Engineer: Using data to design, build, and manage ML software and its application.
  8. Business Intelligence (BI) Developer: Analyzing complex data sets for identifying business and market trends.
  9. Big Data Engineer/Architect: Developing systems that allow businesses to communicate and collate data.
  10. AI Engineer: Build AI models from scratch and help product managers and stakeholders understand results.