How To Become An Artificial Intelligence Engineer | AI Engineer Career Path And Skills | Simplilearn

How To Become An Artificial Intelligence Engineer | AI Engineer Career Path And Skills | Simplilearn

This video on “How to become a Artificial Intelligence Engineer” will explain the skills that one should master to become successful in his Artificial Intelligence career. This video will also explain about the job opportunities in AI industry along with the Artificial Intelligence course offered by Simplilearn and how one can get benefited from these courses. Artificial Intelligence industry is growing at a rapid speed. we can’t even imagine what will develop, but we do know we already have a shortage of trained AI and machine learning professionals, and that gap will only grow until we get people trained and placed in the millions of AI jobs. If you want to be one of those professionals, get certified, because the sooner you get your training started, the sooner you will be working in this exciting and rapidly changing field. Now let us get started and understand the steps to become an AI engineer.

We will be talking about the below topics in this video:
1. What is Artificial Intelligence
2. Who is an Artificial Intelligence engineer
3. Responsibilities of an AI engineer
4. Skills to become an AI engineer
– Programming skills
– Liner algebra, probability and statistics
– Knowledge on Spark and Big Data technologies
– Algorithms and frameworks
– Communication and problem solving skills
5. AI engineer’s salary
6. Career and roles in Artificial Intelligence
7. Simplilearn AI engineer course

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About Simplilearn Artificial Intelligence course:
Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

What are the career benefits of this Introduction to AI course?
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals.

What are the course objectives?
The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes. By the end of the course, you will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics.

What skills will you learn from this Introduction to Artificial Intelligence course?
Upon completion of this course, you will understand:
1. The meaning, purpose, scope, stages, applications and effects of AI
2. Fundamental concepts of machine learning and deep learning
3. The difference between supervised, semi-supervised and unsupervised learning
4. Machine Learning workflow and how to implement the steps effectively

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