According to a website, “Artificial Intelligence is a comprehensive branch of computer science field that is concerned with building the smart machines that are capable of performing tasks that require human intelligence.”

1. Different Career Paths in Artificial
Intelligence

3. • According to a website, “Artificial Intelligence is a comprehensive
branch of computer science field that is concerned with building the
smart machines that are capable of performing tasks that require
human intelligence.”
• Let’s first understand the types of AI we generally deal with.

4. Narrow AI
• AI can do everything, from simplest to mundane tasks, when the task is
narrowed down to a particular function like image processing or face
recognition, this is called Narrow AI. Eg-
Autonomous mobility or self-driving cars
Image recognition
Face recognition
Chatbots

6. AI General
• It is a type of AI that is still needed to define. These are the machines
that can replace humans entirely. It is conscious, self-aware, able to
interact, etc.

7. Industry Variations of AI
• AI is penetrating all types of industries and making a significant
impact.
Healthcare
Customer Service
Airline industry

8. Cybersecurity
Education
Marketing
Retail and E-Commerce
Financial Markets and Services
Industry Variations of AI

9. Skills required
• Machine Learning and Deep Learning are the two aspects that are
used to achieve Artificial intelligence.

10. Machine Learning
• It is a technique where a computer can learn from the data without
using a pre-defined set of rules. ML builds a model from the training
data then applies it to the testing data. Then these models take
decisions and predictions without the programming rules.

11. Deep Learning
• It is a technique based on ANN (Artificial Neural Networks). Deep
learning is basically Inspired by the human brain’s neural networks.

12. Is Coding required for AI?
• Mostly the work is done by extensive libraries to handle and process
the data. So, yes, coding does come in artificial intelligence.

13. • What Language is preferred for AI?
• Why Python?

15. • Most widely used programming language
• It’s simple, flexible, and scalable
• Open-source programming language
• Easy syntax
• A large number of built-in libraries

16. Career Paths
• The career opportunities of AI are uprising for a half-decade. Hence,
understanding the paths will help you choose the best career option.
• AI/Machine Learning Engineer/Developer
• Data Scientist
• Analytics Manager/Data Science Lead
• Research Scientist

17. How to start a career in AI?
• It is a highly specific and technical domain. One much be proficient in
computer, science, and mathematics. Here are the skills that one
should gain-
• Learn basics of Computer Science
• Master all the Machine Learning algorithms
• Neural networks

18. • Learn the programming languages that offer good packages and
provide proper support for Machine Learning, Natural Language
Processing, Deep Learning, and Neural Networks.
• Mathematics-Linear Algebra, Calculus, Logic and Algorithms
• Statistics-Probability, Combinatorics, Random variables, Bayesian
statistics
How to start a career in AI?

19. Where can you start?
• Tutort Academy provides Data Science coaching in Bangalore where
an Artificial Intelligence certification course online is provided. They
have very structured programs for working professionals. Visit them
here.

20. THANK YOU
Visit Us @
https://www.tutort.net/