In this video I am going to share 5 career paths in Artificial intelligence (AI).

If you like this video, please check out the following top-rated courses on Udemy:

Modern Artificial Intelligence with Zero Coding
https://www.udemy.com/course/modern-artificial-intelligence-with-zero-coding/?referralCode=62EE759C06EF0BAF699A

Python & Machine Learning for Financial Analysis
https://www.udemy.com/course/ml-and-python-in-finance-real-cases-and-practical-solutions/?referralCode=4B6502E065821E886C6E

Modern Artificial Intelligence Masterclass: Build 6 Projects
https://www.udemy.com/course/modern-artificial-intelligence-applications/?referralCode=3A1C79099D9CCB1D482B

AWS SageMaker Practical for Beginners | Build 6 Projects
https://www.udemy.com/course/practical-aws-sagemaker-6-real-world-case-studies/?referralCode=36D5AA54496B682D0D65

Data Science for Business | 6 Real-world Case Studies
https://www.udemy.com/course/data-science-for-business-6-real-world-case-studies/?referralCode=028F68A46A519870807B

AWS Machine Learning Certification Exam | Complete Guide
https://www.udemy.com/course/amazon-web-services-machine-learning/?referralCode=07A0615400D9D1766930

TensorFlow 2.0 Practical
https://www.udemy.com/course/tensorflow-2-practical/?referralCode=2009364111D673CAB7D6

TensorFlow 2.0 Practical Advanced
https://www.udemy.com/course/tensorflow-2-practical-advanced/?referralCode=57D1520CB407568F7E81

Machine Learning Regression Masterclass in Python
https://www.udemy.com/course/machine-learning-regression-masterclass-in-python/?referralCode=C473449E55009C3C19AD

Machine Learning Practical Workout | 8 Real-World Projects
https://www.udemy.com/course/deep-learning-machine-learning-practical/?referralCode=E4F2FD5068F398EE7CC9

Machine Learning Classification Bootcamp in Python
https://www.udemy.com/course/machine-learning-classification/?referralCode=492B6665E11EFD36F87D

MATLAB/SIMULINK Bible|Go From Zero to Hero!
https://www.udemy.com/course/matlabsimulink-biblego-from-zero-to-hero/?referralCode=14304D32D81878AD4F8E

Python 3 Programming: Beginner to Pro Masterclass
https://www.udemy.com/course/python-3-beginner-to-pro/?referralCode=D3E22C545F5EF7052629

Autonomous Cars: Deep Learning and Computer Vision in Python
https://www.udemy.com/course/autonomous-cars-deep-learning-and-computer-vision-in-python/?referralCode=ABD5D1368BBD00D65226

Control Systems Made Simple | Beginner's Guide
https://www.udemy.com/course/control-systems-made-simple-modeling-simulation-control/?referralCode=A5F01F4E703DEC03B3A1

Artificial Intelligence in Arabicالذكاء الصناعي مبتدئ لمحترف
https://www.udemy.com/course/artificial-intelligence-in-arabic/?referralCode=72FD85D08ADCBA46E903

The Complete MATLAB Computer Programming Bootcamp
https://www.udemy.com/course/the-complete-computer-programming-boot-camp/?referralCode=4B2A7BFAF95EFC4ABD32

I hope you guys enjoyed my videos. Please subscribe to my channel for more videos:
https://www.youtube.com/channel/UC76VWNgXnU6z0RSPGwSkNIg

So what really is AI? AI is the science that empowers computers to mimic human intelligence such as decision making, reasoning, text processing, and visual perception.

1. DATA SCIENTIST
Data science is the science of extracting useful information from a large unstructured amount of data. The goal of a data scientist is to solve company problems using data. Data science entails everything that has something to do with data such as: (1) Collecting the data, (2) Cleaning up the data, (3) Visualizing data, (4) Analyzing it and (5) creating predictive models based on the data.

2. MACHINE LEARNING ENGINEER
Machine learning engineers are essentially computer programmers with solid software skills who can build, train and deploy complex predictive models and program machines to perform specific task that can add business value.

3. AI RESEARCH SCIENTIST
AI research scientists are PhDs computer scientists who publish research papers in AI, push the boundaries of science in AI. AI research scientists’ posses expert-level in several AI disciplines such as deep learning, perception, and computer vision.

4. AI ARCHITECT
AI architects are different compared to ML engineers and data scientists. AI architects look at the big picture of the AI project and they are responsible for developing the architecture of the AI project, managing the overall strategy, coordination and planning of the AI project.

5. BIG DATA ENGINEER/ARCHITECT
Big data engineers or architects play a key role in designing and building big data environment in Hadoop and spark systems. Big data engineers are generally experts in data warehousing solutions, can work with petabytes of data on a daily basis.

Thanks everyone and happy learning!

#Artificialintelligence #machinelearning #AI