ARTIFICIAL INTELLIGENCE & MACHINE LEARNING CAREER GUIDE

ARTIFICIAL INTELLIGENCE &
MACHINE LEARNING
CAREER GUIDE

APPLICATIONS OF
ARTIFICIAL INTELLIGENCE
With the fast-paced advancements in the field of Artificial Intelligence and
related technologies, one can witness AI applications being used in their
routine lives. Automated customer support systems, chatbots, and
personalized shopping experience with product recommendations are a
common example of this.
With smart autonomous cars driving on roads and autonomous drones
delivering items directly to doorsteps, a great deal of transportation and
service issues will be resolved effectively. Companies like Walmart and
Amazon are investing heavily in making the drone delivery a reality and an
efficient system of delivering goods faster and safely.
The creative fields are also adopting AI as a means of exploring new ideas in
art and music in this technologically advanced era. Other applications of AI
can be witnessed in the new-age Security and Surveillance systems where
technologies like image processing, data science, facial recognition, and
voice recognition are helping security forces to develop better systems to
identify and act upon security breaches, many a time before they actually
happen.
1
INTRODUCTION
Data has garnered a great deal of attention over the past decade and is
being considered as the new oil because it’s extremely valuable to
organisational success. This data economy with its vast reservoir of vital
information is pushing for innovations in data science, Artificial Intelligence,
Machine Learning, and Deep Learning technologies. Machines are learning
from data to derive patterns and insights to aid various applications and
processes.

22
IMPORTANCE OF AI
Artificial Intelligence is influencing people and businesses at a massive scale
and has become an inseparable component. The scope of AI will only
increase in the near future. The everyday interaction with AI to make our lives
simpler is evident in the way we use our smartphones to navigate around the
city with live insights on traffic, suitable and fastest routes, and other
recommendations. Also, the virtual digital assistants such as Cortana or
Alexa are making our lives simpler than ever.
Businesses are exploring the scope and utility of AI to devise new products,
processes, and capabilities with an aim to gain competitive advantage along
with saving cost and time. The vast amount of data collected by businesses
along with concepts like the Internet of Things are driving marketing
decisions and improving operations and customer service.

INDUSTRY APPLICATIONS
OF AI
Healthcare and Entertainment are two sectors that are being massively
influenced by Artificial Intelligence.
Healthcare
AI technologies are being developed to help medical institutions to
streamline clinical as well as administrative healthcare processes. Accenture
analyzed the AI applications in healthcare in terms of estimated potential
annual benefits by application by 2026. Here is what the study established:
3
Source: Forbes Insights - AI And Healthcare: A Giant Opportunity
ROBOT-ASSISTED SURGERY
$40B
VIRTUAL NURSING ASSISTANTS
$20B
ADMINISTRATIVE WORKFLOW ASSISTANTS
$18B
FRAUD DETECTION
$17B
DOSAGE ERROR DETECTION
$16B
CONNECTED MACHINES
$14B
CLINICAL TRIAL PARTICIPANT IDENTIFIER
$13B
PRELIMINARY DIAGNOSIS
$5B
AUTOMATED IMAGE DIAGNOSIS
$3B
CYBERSECURITY
$2B

Entertainment
Today media and entertainment companies are
training ML algorithms to design advertisements and
develop film trailers. Personalized user experience is
given a lot of importance with streaming channels that
recommend content based on specific user activity
and behaviour.
Artificial Intelligence softwares are improving the
speed and efficiency of the media production process
and the ability to organize visual assets. Many gaming
platforms are also adopting new technologies to bring
more interactive gaming experience. Sports show
maximum affinity towards using Artificial Intelligence
for game preparation and real-time analysis of the
on-field action.
Banking and Finance
Applications of Artificial Intelligence in Banking and
Finance are set to revolutionize the industry and bring
it up to a more secure and sophisticated platform. AI is
being used to detect anti-money laundering patterns,
which is much more efficient than the traditional
rule-based software systems.
Talking about Algorithmic trading, reports suggest that
automated AI systems are behind more than 70% of
the trading today. One of the fields where AI has
proved to provide the most accurate and superior
results is ‘Fraud Detection’. Apart from the regulatory
and legal aspects, banks and financial institutions are
using chatbots and virtual assistants to provide better
customer service than ever.
4

Marketing
AI-generated content is big news among the
content-generating and aggregating agencies and
professionals. Smart content curation allows better
engagement with visitors on a website by showing
content pieces relevant to them. Another aspect is
Voice Search which is set to change the future SEO
strategies. Brands need to keep up and leverage huge
returns on organic traffic with high purchase intent.
Marketing automation, programmatic media buying,
propensity modelling, predictive analytics, and lead
scoring are other applications where AI can leverage
better results. Some Machine Learning algorithms can
run through a vast amount of historical data to draw
insights on the ads which performed best, audience
targeted for the same, and buying stage.
AI is also helping in evolving the concept of dynamic
pricing, web and app personalization, chatbots, and
re-targeting, some of the marketing aspects directed
towards conversion.
Retail and e-commerce
Image search is a very important application of
Artificial Intelligence for e-commerce. It makes it so
much easier for shoppers to search products similar to
a product image across sellers online. AI is also
deriving sense and insights out of the massive amount
of data generated by the minute.
Product recommendations, Chatbots, and efficient
after-sales services backed by AI are directed towards
high customer satisfaction, engagement, and finally,
loyalty. AI is also helping retail brands manage their
inventories, improve their CRM, and develop a better
sales process.
5

Manufacturing
Smart factories are primarily driven by AI concepts and
technologies taking active measures for increased
productivity, environment friendliness, and quality of
life at these intensive workplaces. Artificial Intelligence
is being applied for quality checks, maintenance, and
creating more reliable designs and layouts for the
plant and its processes.
Apart from that, it is also reducing environmental
impact by applying methods of cutting down waste
and using the resources optimally. An example of this
is demonstrated by Siemens, where hundreds of
sensors feed an AI operating data processing system
to adjust fuel valves to keep emissions as low as
possible.
Applications of AI are myriad in manufacturing and not
just limited to the ones mentioned here. One can
witness how AI works wonders with different aspects of
the supply chain.
6
The outcome of these applications and the general acceptability of these
technologies can be seen in the form of increased job opportunities and new
work domains. This has created a necessity to learn new skills and move from
the older redundant roles to the new high paying jobs, given one acquires
the required skillset and subject matter knowledge.
There are opportunities to upskill and move horizontally and vertically into
the organizations across industries making a career which is highly rewarding
and relevant to this age and time. With sophisticated skills and continuous
learning, employees can deem themselves irreplaceable and make a strong
position for themselves in the job market as a highly preferred resource.
The myth that AI will eat up jobs is being constantly proven wrong by these
innovative solutions and applications of Artificial Intelligence. The jobs will
surely be displaced by leaving some roles redundant, but a lot more
opportunities will open up demanding an upskilled workforce.

7
CAREER OPPORTUNITIES
It would not be wrong to state that
Artificial Intelligence has picked up
the pace to reach its prime, and is
going to see an upward graph
over the coming years. The career
opportunities likewise are growing.
The challenge is that the supply of
skilled resources in Artificial
Intelligence lags behind the demand
substantially. These are the jobs that
have been vacant for a stretch of 12
months straight. This gap showcases
a huge opportunity and promising
career prospects for mid and
senior-level professionals across
industries.
57%
of the companies in India
hiring for AI roles.
4000
AI jobs were vacant in the
year 2018
You can enter into the field of Artificial Intelligence and pursue a career in the
same by following these five steps:
■ Understand the AI career landscape
■ Research and list out popular job roles in the field of AI and evaluate which
suits you best
■ Understand the education and knowledge pre-requisites to pursue your
chosen job role
■ Enrol to top online or offline resources and institutions to learn from
■ Start with the job hunt to land your dream job
Source: Economic Times - 2018

8
AI SALARY TREND IN INDIA
A career in Artificial Intelligence pays off really well.
` 14.3lacs per annum
The median salary of AI professionals in India
City-wise remuneration trends
MUMBAI
15.6L
14.5L
10.5L
BENGALURU
CHENNAI
Average Salary per annum (INR)
40%
Entry level
professionals
60-80%
Salary
hike
20-30%
Salary
hike
Job switch in
AI
domain
Job switch in
Other
domains
4%
Senior level
professionals
> 6L p.a.
Salary
> 50L p.a.
Salary

19
AI JOB TITLES
MIT Sloan’s research aggregated the responses of over 3000 analysts,
executives, and managers across industries and deduced that 85% of them
believed that AI will provide a competitive advantage to their businesses.
But, on the other hand, only 20% have started to implement this technology
in their own businesses. Also, the world economic forum’s report forecast
that AI and robots at the workplace will create 58 million net new jobs in the
coming years. The landscape is wide and varied for a career in AI and
professionals can expect a major shift in the quality, number, location, and
permanency in AI specialist roles.
01
Software
Engineer
02
Data
scientist
03
AI
researcher
04
Intelligence
specialist
05
Consultant
06
AI data
analyst
07
Machine learning
engineer
08
Sales
engineer
09
Product
manager
10
R&D Engineer
The job roles offered by companies hiring for AI roles

110
AI HIRING INDUSTRIES
IT
tops the race among industries that are
massively hiring for these AI roles.
2.5L
new jobs in 2019 in India by IT
industry.
Source:“IT hiring projections for 2019” by
TeamLease
Other industries that are most likely to adopt AI and Machine Learning
solutions and hence create job opportunities for experts are:
MANUFACTURING &
SUPPLY CHAIN
HEALTHCARE
CONSUMER
& RETAIL
AGRICULTURE
FINANCIAL
SERVICES
EDUCATION
PUBLIC & UTILITY
SERVICES
TELECOM
The top 10 organizations which offered most numbers of job opportunities in
the year 2018 were:
(Source: Economic Times - 2018)

11
SAMPLE
JOB DESCRIPTIONS
ARTIFICIAL INTELLIGENCE ENGINEER
Responsibilities
■ Set up and manage AI development and production infrastructure
■ Help AI product managers and business stakeholders understand the
potential and limitations of AI when planning new products
■ Build data ingest and data transformation infrastructure
■ Identify transfer learning opportunities and new training datasets
■ Build AI models from scratch and help product managers and stakeholders
understand results
■ Deploy AI models into production
■ Create APIs and help business customers put results of your AI models
into operations
Skills Required
■ Demonstrated proficiency in multiple programming languages with a
strong foundation in a statistical platform such as
Python, R, SAS, or MatLab
■ Experience building AI models in platforms such as
Keras, TensorFlow, or Theano
■ Demonstrated commitment to learning about AI through your own
initiatives through
courses, books, or side projects

12
MACHINE LEARNING ENGINEER
Machine Learning Engineer responsibilities include creating machine learning
models and retraining systems. To do this job successfully, you need
exceptional skills in statistics and programming. The knowledge of data
science and software engineering is an added advantage. Your ultimate goal
will be to shape and build efficient self-learning applications.
Responsibilities
■ Study and transform data science prototypes
■ Design machine learning systems
■ Research and implement appropriate ML algorithms and tools
■ Develop machine learning applications according to requirements
■ Select appropriate datasets and data representation methods
■ Run machine learning tests and experiments
■ Perform statistical analysis and fine-tuning using test results
■ Train and retrain systems when necessary
■ Extend existing ML libraries and frameworks
■ Keep abreast of developments in the field
Skills Required
■ Proven experience as a Machine Learning Engineer or similar role
■ Understanding of
data structures, data modelling & software architecture
■ Deep knowledge of
mathematics, probability, statistics & algorithms
■ Ability to write robust code in
Python, Java and R
■ Familiarity with machine learning frameworks like Keras or PyTorch
and libraries like scikit-learn
■ Outstanding analytical and problem-solving skills

SKILLS REQUIREMENT
The top skills that employers seek in AI professionals are Natural Language
Processing, Machine Learning, Neural Networks, Cloud Computing, Data
Science, Analytics, and Pattern Recognition among others.
While the technical skills on your resume will surely land a good job in
Artificial Intelligence, you cannot ignore the supporting written and verbal
communication skills that are needed to convey how the AI tools and
services are deployed within the business or industrial processes.
Professionals are required to be hands-on with the following tools,
techniques, and programming languages:
13
Python
Object-Oriented Programming, Python is a
very useful and robust programming
language that focuses on RAD (Rapid
Application Development). The
ever-changing libraries are the reason that
it is an ideal choice for developers working
on AI projects.
The benefits of using Python are:
PREBUILT
LIBRARIES
MINIMAL
CODING
PLATFORM
AGNOSTIC
FLEXIBILITY

14
Java
This programming language derives a
major part of its syntax from C and C++. It
is fast, powerful, and secure along with
easier debugging. Java is
architecture-neutral and hence portable
with no implementation-dependent
aspects of a specification. The
multi-threading feature makes it possible
for a program to perform various tasks
simultaneously.
The benefits of using Java are:
SCALABILITY BETTER USER
INTERACTION
PLATFORM
AGNOSTIC
LARGE-SCALE
PROJECTS
R
Considered as a Statistical Software, R is
specialized for statistics, data visualization,
and data analytics with graphical tools. It
has effective data handling and storage
facility and runs on all platforms, being
easily ported to another platform. A
common application is in monitoring user
experience in Social Media.
The benefits of using Python are:
Other tools and techniques which are also important are Hadoop, Data
Mining, Spark, and SAS.
OPEN SOURCE
& FREE
CAN CONNECT WITH
OTHER LANGUAGES
ADVANCED
VISUALIZATIONS

SUCCESS STORIES
15
The peer learning aspect is something that you
guys should definitely be proud of. I should say
that I have been able to connect with wonderful
people, both technically and personally, after
enrolling in the course. I am always an advocate
for the quote - when you teach you learn more
about what you teach. Here my peers are both
teachers and students enriching each other's
technical expertise to a vast extent.
SAI
VENKATESHWARAN
SRINIVASAN
Senior technical lead
The course provides a good balance of
theory and practical application of different
techniques covered through sessions taken
by renowned faculty. It balances regular and
online coursework amidst work schedules
and enhanced by opportunities to engage
with leading faculty and outstanding peers. LAKSHMINARASIMHAN
SANTHANAM
Director - Data Analytics
and Automation
The Capstone project gave me an opportunity
to optimize and automate the best practices
used in the industry.
MONDAL SUDIPTA
Senior Data Analyst

ABOUT THE PROGRAM
The PGP-AIML (Post Graduate Program in Artificial Intelligence and Machine
Learning) is designed with the needs of the modern workforce in mind. It is a
comprehensive program that covers everything that a professional would
need to launch their career in AI.
We do this by offering:
■ Real-world examples and projects that help you apply the skills you’ve
learned
■ Personalised mentorship to clear your doubts and offer guidance in your
learning journey
■ Interacting with experienced industry practitioners to offer context
Our mentors are highly experienced professionals, working in the leading
companies of the world. They will help you with career guidance, clearing
your doubts about the course content, and offering industry context that
helps you materialize and transform what you’ve learned into industry-ready
skills.
Also, when you enrol in the PGP-AIML, you will solve real-world industry
problems by utilizing cutting-edge tools such as TensorFlow, Python Keras,
and libraries that include matplotlib, Pandas, Numpy, NLTK, Sci-kit learn and
much more.
16
Other AI courses
PGP-ML
(PG program in
Machine Learning)
AIFL
(Artificial Intelligence
for Leaders)
DLCP
(Deep Learning
Certification Program)
PGP-ML
(PG program in
Machine Learning)

17
ABOUT GREAT LEARNING
Great Learning is an ed-tech company that offers programs in career critical
competencies such as Analytics, Data Science, Big Data, Machine Learning,
Artificial Intelligence, Cloud Computing, DevOps, Full Stack Development
and more.
Our programs are taken by thousands of professionals globally who build
competencies in these emerging areas to secure and grow their careers. At
Great Learning, our focus is on creating industry-relevant programs and
crafting learning experiences that help candidates learn, apply and
demonstrate capabilities in areas that are driving the future.
6
Million+hours of learning
to professionals worldwide
with thousands of them being able to achieve a successful career progression
in leading companies such as
Microsoft, Amazon, Adobe, American Express, Deloitte,
IBM, Accenture, McKinsey
and more.
We are on a mission to make professionals proficient and future-ready. In the
last 5 years, we have been able to deliver

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