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

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hi guys embroiled from simple on and

today I'm going to tell you how you can

become nai engineer so first off let's

ask the important question what is

artificial intelligence now artificial

intelligence is the ability of a

computer system to mimic human behavior

now this is the sort of intelligence

that's demonstrated by machines and this

is in contrast to natural intelligence

that's shown by humans as well as

animals so how does artificial

intelligence work firstly it learns from

past data

now whatever machines that are

artificially intelligent learn from

their actions which are positive or

negative now with this new information

the machine is able to make corrections

to itself so that these problems don't

resurface and make some adjustments to

handle new inputs and finally the

machine is able to perform human-like

tasks so who is an artificial

intelligence engineer an engineer builds

AI models using machine learning

algorithms and deep learning neural

networks to draw business insights now

these insights can be used to make

business decisions that affect the

entire organization not to mention they

also create weak or strong ai's

depending on what goal they want to

achieve now air engineers have a sound

understanding of programming software

engineering as well as data science they

use different tools and techniques so

that they can process data and they

develop as well as maintain AI systems

now let's talk about the

responsibilities of an AI engineer

firstly they need to develop test and

deploy AI models this can be done

through a number of different

programming algorithms like random

forests logistic regression linear

regression and so on they need to be

able to convert the machine learning

models into api's or application program

interfaces so that other applications

can use it they responsible for building

AI models from scratch and help the

different components of the organization

such as product managers and

stakeholders understand what they stand

to gain from the model they need to

build data ingestion and data

transformation infrastructure they need

to automate infrastructure that's used

by the data science team they need to be

able to perform statistical analysis and

tune the results so that the

organization can take better informed

decisions they need to set up as well as

manage AI development and product

infrastructure and they need to be good

at teamwork since they'll be

coordinating work with teams of data as

well as

analyst next up let's talk about the

skills required to become an AI engineer

first off programming skills now the

first skill required to become an

engineer is programming skills now for

you to become well-versed in AI it is

very important that you start learning

programming languages such as Python or

Java and C++ so that you're able to

build as well as implement so that

you'll be able to build as well as

implement models the second skill

required is linear algebra of

probability and statistics now to

understand as well as implement

different AI models such as hidden

Markov models nave based Gaussian

mixture models linear discriminant

analysis and so on you need to have

detailed knowledge of linear algebra

probability and statistics the third

skill required is knowledge about spark

and Big Data technologies now since a

engineers work with large volumes of

data which could be streaming or

real-time production level data

production level data in terabytes or

even petabytes they need to know about

spark and other Big Data technologies to

make sense of this along with Apache

spark you could also use other Big Data

technologies like Hadoop Cassandra and

MongoDB the next skill that you require

is to be well-versed with algorithms and

frameworks now understanding how machine

learning algorithms like linear

regression KNN nave base SVM and others

work will help you implement machine

learning models with ease also to build

AI models with unstructured data you

need to understand deep learning

algorithms like CNN which is the

convolutional neural network RN n which

is the recurrent neural network and GN

which is the generative into serial

network and so so that you can implement

it using a framework some of the

frameworks used in artificial

intelligence are PI toge Theano


and Caffe the final skill required to

become an engineer is communication and

problem-solving skills now you need to

be very good at communication so that

you are able to pitch your product and

idea to the stakeholders you should also

have excellent problem-solving skills to

resolve obstacles for decision making

and draw helpful business insights now

let's talk about an AI engineer salary

the average salary of an engineer is

hundred and eleven thousand dollars per

annum in the United States and rupees 13

lakhs per annum in India now let's talk

about the career

and rolls and artificial intelligence

since several industries around the

world use AI to some degree or the other

there has been an exponential growth in

the career opportunities within the

field of AI let's have a look at some of

these job roles first off we have AI

developer now these individuals work

closely with electrical engineers and

develop software to create artificially

intelligent robots next up we have AI

architect now these people work closely

with clients so that they can provide

business as well as system integration

services while at the same time creating

and maintaining the entire architecture

the next role we're going to talk about

is machine learning engineer now these

individuals build predictive models

using washed using vast volumes of data

have in-depth knowledge of machine

learning algorithms deep learning

algorithms and deep learning frameworks

next up we have data scientists now data

scientists collect clean analyze and

interpret large and complex datasets by

leveraging both machine learning and

predictive analytics and finally we have

bi developer or business intelligence

developer they're responsible for

designing modeling and analyzing complex

data to identify business as well as

market trends so how can simply learn

help you simply Leone has now tied up

with IBM and is offering the AI

engineers master's program this program

consists of a number of different

courses such as introduction to

artificial intelligence data science

with Python machine learning deep

learning fundamentals by IBM deep

learning with tensor flow and the AI

capstone project after completing this

course you'll get a certificate from

both IBM as well as simply learn which

is recognized across the world iBM is

the second largest predictive analysis

and machine learning solutions provider

globally a joint partnership with simply

learn and IBM introduces you to

integrated blended learning and making

you an expert in artificial intelligence

and data science the program

co-developed with IBM will make you

industry ready for artificial

intelligence as well as data science job

roles as benefit you get simply learn

job assist you performed capstone and 15

plus real-life projects and assistance

with 20 plus in-demand skills and tools

tools such as numpy Syfy Apache spark

Watson Kara's peyten R and much more

you also have certain other benefits

such as

access to exclusive forums which are

moderated by expert faculty and industry

thought leaders thousand two hundred

dollars worth of IBM cloud credits that

have been leveraged for hands-on

exposure access to IBM cloud platforms

such as IBM Watson which is ibm's own

supercomputer and other software for

24/7 practice access to digital badges

from IBM and of course the industry

recognized master certificate from

simply learned so if your dream is to

become an engineer I suggest you go on

to simply learn comm and get started on

your journey to getting certified and

getting ahead and with that we've

reached the end of this video I hope you

guys found this informative and helpful

thank you for watching and stay tuned

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