How to Pursue a Career in AI and ML

by Robert Smith Technology Expert

What is Artificial Intelligence?

Artificial intelligence deals with using computers to understand human intelligence, and it is the science and engineering of making intelligent machines, especially intelligent computer programs. It refers to adding human capabilities into machines.

What is Machine Learning?

Machine learning is a subset of artificial intelligence. This refers to machines being able to learn by themselves without being explicitly programmed. It is an application of AI which enables systems to learn and improve from experience automatically.

AI and ML- Background Knowledge and Skills Needed

AI and ML are based on logic. Hence, having a sound background can help develop an excellent logical model. Basic knowledge of mathematics, electrical and electronics engineering, and biology for neurosciences will provide you a basic framework to learn AI. Dive deeper into these subjects to understand AI better.

Statistics.
Linear Algebra.
Probability.
Calculus.
Graphical Modeling.
Analytical Geometry.
Vectors and Matrices.

Let us now understand some of the skills you would need to excel in AI and ML.

Programming Languages- It is important to have an intermediate level of programming skills. C++, Java, R, and Python can help if you are looking to pursue a career in AI or ML. C++ helps in speeding up the code. R can be used for statistics and plots. Python offers a concise and readable code. It is simple and allows developers to write reliable systems.
Analytical Reasoning- It is crucial to developing AI and ML systems, and it involves being able to use deductive reasoning without specialized knowledge. This may include comprehending the structure of a set of relationships, recognizing logically equivalent statements, and inferring the truth from the given facts and rules.
Machine Learning Algorithms- It is important to know how algorithms work and have a firm understanding of algorithm theory. It is important to understand subjects such as convex optimization, partial differential equations, gradient descent, and quadratic programming.
Data Modeling and Evaluation- The crucial part of this process involves evaluating how good a model is. Depending on the task, one must choose an appropriate accuracy or error measure such as a log-loss for classification and sum-of-squared-errors for regression, and an evaluation strategy such as training-testing split and sequential vs. randomized cross-validation.

Getting Started with AI and ML

Apart from the regular courses offered in universities, there are many online courses available today to learn AI and ML at your own pace from wherever you are across the globe. Enrolling in courses offered by renowned online learning platforms such as Global Tech Council will provide you with access to a comprehensively curated curriculum and learning modules that have been carefully designed by acknowledged industry experts and technology enthusiasts. Some of the popular AI and ML certifications that will make you an expert in AI and ML are Certified Artificial Intelligence Expert, Certified Artificial Intelligence Developer, and Certified Machine Learning Expert.

The Certified Artificial Intelligence Expert and Certified Artificial Intelligence Developer courses will help you learn concepts such as the history of AI, need for AI, problem-solving, knowledge representation and planning, probabilistic reasoning, reinforcement learning, machine learning, neural network, communication and perceiving computer vision, and use cases of AI. The Certified Machine Learning Expert course will cover concepts such as introduction to Python programming, Python libraries, introduction to machine learning, supervised learning, association rule, and time series analysis.

Specific AI and ML Jobs

Let us take a look at some of the popular AI and ML jobs.

AI Engineer.
Machine Learning Researcher.
Data Analyst.
Business Intelligence Analyst.
Data Scientist.
Robotics Engineer.
Data Mining Specialist.
Machine Learning Engineer.
Image Processing and Computer Vision Engineer.

Industries Currently Using AI and ML

Some of the notable industries that have started using AI and ML for their businesses are:

Transportation.
Healthcare.
Finance.
Agriculture.
Education.
Retail and Customer Service.
Public Relations.

Conclusion

Anyone who observes technology keenly will know that AI and ML are the future. Automation is gaining momentum now and will continue to do so in the future also as companies are always looking for innovative ways to cut costs. Private businesses and multi-national companies are now employing AI strategies and are spending millions, if not billions, to grow their businesses. This is where you will come into the picture. Now is indeed a golden period to start a career in AI and ML. In this race of technology, data is all set to rule the world, and hence, equipping yourself with the right skills and knowledge will aid in making a mark in the field of AI, ML, and data, in general.

To know more about AI and ML certifications, check out Global Tech Council.