ai and machine learning

Introduction to ai & machine learning

ML(Machine learning) is an application of Artificial Intelligence that gives systems the capability to self learn and upgrade from experience without being explicitly arranged. Machine learning focuses on the growth of computer programs that can access information and use it to learn for themselves.
The process of learning starts with observations or information, such as examples, direct experience, or instruction, in order to look for making in information and make better decisions in the future based on the examples that we give. The basic motive is to allow the computers to learn by self without human intervention or assistance and adjust working accordingly.

scope of career choices post ai & machine learning training

1. Data Scientist

From now, It is quite sure you would have understood the work and responsibilities of data scientists. They are basically involved in getting data from multiple touch points, analyzing it, interpreting it for inferences and insights and coming up with better solutions for business problems. Artificial Intelligence and Machine learning are essential parts of data science, where techniques from both such as regression, predictive analytics and more are applied for insight creation.

2. Machine Learning Engineer

With an average salary of over $1000, machine learning engineers are some of the most in-demand jobs in artificial intelligence. They are most sought by many organization and are immediately hired for operations if found suitable. Machine learning engineers come with competencies on software, statistics, applied math natural language processing and working knowledge of tools such as IntelliJ, Eclipse and more. If you are an AI student, you might want to consider more about becoming a machine learning engineer.

3. Research Scientist

The job role of a research scientist is inter-disciplinary. A research scientist would be included in deep learning, reinforcement learning, natural language processing, computer perception and more. If you are willing to become a research scientist, you have to possess skills in parallel computing, distributed computing, algorithms and computer architecture. You can also expect an average salary of over $80,000.

4. Business Intelligence Developer

A business intelligence developer creates to the table business acumen apart from skills on Artificial Intelligence and Machine Learning. He or she is responsible for crunching massive slab of information for business insights and work on enhancing the profits of an organization from a myriad of perspectives. From maintaining and designing information for cloud-based platforms to optimizing workflows and processes, business intelligence developers are accountable for getting company growth on their shoulders.

Apart from these, the opportunity for jobs in artificial intelligence and machine learning also have job roles like –

  • Full stack developer
  • Software architect
  • Data analyst
  • Data warehouse engineer
  • Product manager
  • Front-end developer
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average salaries after ai & machine learning education

Machine Learning Engineer Salary (IND)



Machine learning salary


Machine Learning Engineer Salary (US)

Machine Learning salary

Openings Based on Salary


AI & Machine Learning


AI & Machine Learning

top courses for ai & machine learning

machine learning coursera


Course 1

Machine Learning AI Certification by Stanford University (Coursera)

AI Course Kellogg


Course 2

Artificial Intelligence Executive Certification (Kellog)

Deep Learning By Andrew Ng


Course 3

Deep Learning by Andrew Ng (Coursera)

Ai for everyone


Course 4

AI For Everyone by Andrew Ng (Coursera)

Ai certification edx


Course 5

Artificial Intelligence Certification by Columbia University (edX)

Microsoft professional certification in Ai


Course 6

Microsoft Professional Certification in Artificial Intelligence (edX)

TensorFlow for Artificial Intelligence by (Coursera)


Course 7

TensorFlow for Artificial Intelligence by (Coursera)

Become an AI Product Manager Nanodegree Certification (Udacity)


Course 8

Become an AI Product Manager Nanodegree Certification (Udacity)

Artificial Intelligence Nanodegrees (Udacity)


Course 9

Artificial Intelligence Nanodegrees (Udacity)

Learn AI from ML experts at Google (Google)


Course 10

Learn AI from ML experts at Google (Google)

top institutes for ai & machine learning

Carnegie Mellon University (Pittsburgh, PA)


Carnegie Mellon University (Pittsburgh, PA)

Stanford University (Stanford, CA)


Stanford University (Stanford, CA)

Massachusetts Institute of Technology “MIT” (Cambridge, MA)


Massachusetts Institute of Technology “MIT” (Cambridge, MA)

University of California, Berkeley (Berkeley, CA)


University of California, Berkeley (Berkeley, CA)

Cambridge University


Harvard University (Cambridge, MA)

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