CLASS- XI

SUBJECT- AI
UNIT 2: Unlocking Your Future in AI
THE GLOBAL DEMAND
Artificial Intelligence (AI) was once confined to the realms of science fiction, but
today, it permeates our daily lives in ways we often take for granted. From personalized
recommendations on streaming platforms to the algorithms powering autonomous vehicles,
AI has become an indispensable part of the modern society. As the field continues to evolve
and expand, so do the opportunities it presents for career growth and development.
Amidst the concerns about automation and job displacement, it is essential to
recognize the significant demand for AI professionals across various industries. While it is
true that AI technologies may replace some traditional roles, they also create a multitude of
new and exciting career paths. Rather than viewing AI as a threat, individuals should
embrace it as an opportunity for advancement and innovation.
Image Source: https://media.licdn.com The global demand for AI
talent is skyrocketing, driven by the
rapid pace of technological
advancements and the increasing
integration of AI solutions into
diverse sectors. From healthcare
and finance to transportation and
retail, organizations are harnessing
the power of AI to streamline
operations, optimize processes, and deliver enhanced services to consumers. One of the
most significant advantages of pursuing a career in AI is the sheer breadth of opportunities
it offers. Whether you are passionate about machine learning, natural language processing,
robotics, or data analytics, there is a niche within the AI field suited to your interests and
skills. Moreover, as AI technologies continue to mature, new specialties and job roles are
emerging, creating avenues for specialization and expertise.

SOME COMMON JOB ROLES IN AI:

In today's market, there is a wide range of job roles within the field of Artificial
Intelligence (AI) that are in high demand. Some common job roles include:
 Machine Learning Engineer: Machine learning engineers bridge software
engineering and data science, utilizing big data tools and programming frameworks
to develop scalable data science models capable of handling vast volumes of real-
time data. Strong mathematical skills, experience in machine learning and deep
learning, and proficiency in programming languages like Java, Python, and Scala are
 essential for success in this role.
 Data Scientist: Data scientists leverage machine learning and predictive analytics to
extract insights from large datasets, to take proper business decisions. Proficiency in
big data platforms like Hadoop, Pig, and Spark, fluency in programming languages
such as SQL, Python, and Scala, and a solid understanding of descriptive and
inferential statistics are the key requirements for this role.
 Business Intelligence Developer: Business intelligence (BI) developers design,
model, and maintain complex data sets to analyse business and market trends,
enhance organizational profitability and efficiency. Strong technical and analytical
skills, along with expertise in data warehouse design and BI technologies, are
essential for success in this role.
 Robotics Engineer: They design and maintain AI-powered robots, develop
mechanical devices capable of performing tasks with human commands. Proficiency
in programming, along with expertise in disciplines like robotic engineering,
mechanical engineering, and electrical engineering, is crucial for success in this field.
 Software Engineer: AI software engineers build and maintain software products for
AI applications, staying updated on the latest artificial intelligence technologies.
Proficiency in software engineering, programming languages, and statistical analysis
is essential, typically requiring a bachelor's degree in computer science, engineering,
or related fields.

 Natural Language Processing (NLP) Engineer: NLP engineers specialize in human

language processing, working on voice assistants, speech recognition, and document
processing. A specialized degree in computational linguistics or a combination of
computer science, mathematics, and statistics is typically required for this role.
 Computer Vision Engineer: Computer vision engineers specialize in developing
algorithms and systems that enable computers to analyse and interpret visual
information from images or videos. Their expertise lies in creating software solutions
that can understand and process visual data, requiring proficiency in image
processing techniques and programming languages such as Python and C++.
 AI Ethicist: AI ethicists address ethical considerations and implications related to
the development and deployment of AI technologies, ensuring that they are used
responsibly and ethically. They provide guidance on ethical frameworks, policies, and
practices to promote fairness, transparency, and accountability in AI systems, often
requiring a background in ethics, philosophy, or law, combined with expertise in AI
technology.
  AI Consultant: AI consultants offer expert guidance and advice to organizations on
how to leverage AI technologies to solve business challenges and drive innovation.
They assess business needs, identify opportunities for AI integration, and develop
strategic AI initiatives, requiring a deep understanding of AI technologies, business
processes, and industry trends, along with strong communication & analytical skills.
Activity 1:
Divide the class into small groups and distribute the list of AI job roles to each group.
Using the roles written in the chit, the teams will identify ten companies currently hiring
employees for those specific AI positions.

ESSENTIAL SKILLS AND TOOLS FOR PROSPECTIVE AI CAREERS

A successful career in artificial intelligence requires a diverse set of skills that
encompass both technical expertise and soft skills. According to industry leaders, here are
some of the top skills that AI professionals need:
Technical Skills:
 Expertise in neural networks, machine
learning, and deep learning is essential for
developing advanced AI applications.
 Knowledge of big data technologies and
techniques for handling and analysing large
datasets is crucial in AI applications.
 Understanding of frameworks and libraries like TensorFlow, SciPy, and NumPy is vital
for building and deploying AI solutions.
 Familiarity with programming languages such as Python, R, Java, and C++ is
necessary for developing AI models and algorithms.
 Proficiency in linear algebra, probability, statistics, and signal processing is essential
for understanding the mathematical principles underlying AI algorithms.
Soft Skills:
 Effective communication skills are crucial for conveying complex technical concepts
to non-technical stakeholders and collaborating with multidisciplinary teams.
 Strong teamwork and collaboration abilities are essential for working effectively in
cross-functional teams to develop AI products and solutions.
 Problem-solving, decision-making, and analytical thinking skills are critical for
identifying and addressing challenges in AI projects.
 Time management and organizational skills are
essential for managing multiple projects and
meeting deadlines.
 Business intelligence and critical thinking skills
 are valuable for understanding business
requirements and translating them into AI
solutions that deliver tangible value.
Your Professional Toolkit
In addition to acquiring the necessary skills, it is essential for AI professionals to
familiarize themselves with popular AI tools, platforms, and programming languages. Here
are some essential tools and their purposes:
 Python: A versatile programming language with pre-made libraries for advanced
computing and scientific computation.
 R: A programming language for data collection, organization, and analysis,
particularly useful for machine learning and statistical functions.
 Java: Widely used in AI for implementing intelligence programming, neural networks,
and machine learning solutions.
 C++: Known for its flexibility and object-oriented functions, used for procedural
programming and hardware manipulation in AI.
 TensorFlow: An open-source machine learning platform with tools and libraries for
developing sophisticated AI applications.
 SciPy and NumPy: Python libraries for scientific computing and mathematical
operations, ideal for manipulating and visualizing data.
By acquiring the right combination of technical skills and tools, aspiring AI professionals can
position themselves for success in this dynamic and rapidly growing field. Whether you are
interested in developing AI algorithms or implementing AI solutions in real-world
applications, building a strong foundation of skills and expertise is the key to unlocking
exciting career opportunities in artificial intelligence.

Activity 2:
In continuation with the previous activity, list the technical skills and soft skills listed by any
two companies for the specific AI position.

Technical Skills Soft Skills Link to the website

OPPORTUNITIES IN AI ACROSS VARIOUS INDUSTRIES
Artificial intelligence professionals design and develop AI systems that use machine
learning and neural networks to predict trends, provide better customer experiences and
recommendations, and offer solutions to difficult problems. While some AI professionals
work towards the goal of General AI—systems interconnected and able to be nearly as
creative as human beings—others focus on narrower applications. This following table gives
you a variety of opportunities to choose from depending upon your choice of subject.

Employment Relevant Subjects

Industry Some Existing/Expected Job Roles
Opportunities in School
1. Autonomous Vehicle Engineer: Develops
AI algorithms for self-driving cars. Mathematics,
Design,
2. Simulation Engineer: Creates virtual Physics,
manufacturing,
Automobile environments for testing autonomous Computer
and sale of motor
vehicle technologies. Science/Artificial
vehicles.
3. Robotics Engineer: Designs AI-powered Intelligence
robots for automotive tasks.
1. Precision Agriculture Specialist: Uses AI-
powered drones and sensors for monitoring Biology,
Monitoring crop
crops. Mathematics,
health, optimizing
Agriculture 2. Crop Yield Prediction Analyst: Forecasts Computer
irrigation, and
crop yields using AI models. Science/Artificial
maximizing yields.
3. Livestock Monitoring Specialist: Tracks Intelligence
the health and productivity of farm animals.
1. Inventory Management Specialist:
Optimizing Optimizes inventory levels using AI
Business Studies,
inventory, sales algorithms.
Mathematics,
forecasting, and 2. Sales Forecasting Analyst: Forecasts
Retail Computer
enhancing sales using AI models.
Science/Artificial
customer 3. Customer Experience Designer:
Intelligence
experience. Enhances customer experience using AI-
driven insights.
1. Visual Effects Artist: Uses AI tools for
Fine Arts, Media
Creating visual creating visual effects.
Studies,
effects, content 2. Content Creator: Generates content
Media Computer
generation, and using AI-generated insights.
Science/Artificial
audience analysis. 3. Audience Analyst: Analyzes audience
Intelligence
behavior using AI algorithms.
Developing AI 1. Machine Learning Engineer: Develops AI
Computer
algorithms, algorithms and systems.
Science/Artificial
Information systems, and 2. AI Software Developer: Builds AI-
Intelligence,
Technology infrastructure for powered applications.
Mathematics,
various 3. AI Infrastructure Specialist: Maintains
Physics
applications. and optimizes AI infrastructure.
 1. Medical Imaging Analyst: Analyzes
Medical imaging Biology,
medical images using AI algorithms.
analysis, Chemistry,
2. Virtual Nurse Assistant: Provides
Healthcare personalized Computer
personalized healthcare recommendations.
healthcare, and Science/Artificial
3. Drug Discovery Researcher: Identifies
drug discovery. Intelligence
potential drug candidates using AI.
1. Quantitative Analyst: Analyzes market
Market analysis, trends using AI algorithms. Economics,
fraud detection, 2. Fraud Detection Analyst: Identifies Mathematics,
Finance risk management, fraudulent activities using AI models. Computer
and investment 3. Financial Advisor: Offers personalized Science/Artificial
recommendations. investment recommendations using AI- Intelligence
driven analytics.
1. National Security Analyst: Uses AI-
Surveillance,
powered surveillance systems. Political Science,
predictive
2. Defense Contractor: Develops AI-
Computer
Government analytics, citizen
enabled military technologies. Science/Artificial
& Military services, and
3. Government AI Specialist: Implements Intelligence,
military
AI for citizen services and regulatory Mathematics
technologies.
compliance.
1. Travel Recommendation Engine
Personalized
Developer: Provides personalized travel Geography,
travel
recommendations. Business Studies,
recommendations,
Tourism 2. Chatbot for Customer Service: Assists Computer
customer service,
travelers with booking and inquiries. Science/Artificial
and itinerary
3. Smart Travel Itinerary Planner: Optimizes Intelligence
planning.
travel routes and schedules.
1. AI-powered Skincare Assistant: Provides
Chemistry,
Skincare analysis, personalized skincare recommendations.
Biology,
Beauty & virtual styling, and 2. Virtual Hair Stylist: Simulates different
Computer
Wellness wellness hairstyles using AI.
Science/Artificial
guidance. 3. Wellness Chatbot: Offers guidance on
Intelligence
nutrition and fitness.
1. Loan Approval Specialist: Automates loan
Loan approval Economics,
approval process using AI.
automation, fraud Mathematics,
2. Fraud Detection Analyst: Identifies
Banking detection, and Computer
fraudulent transactions using AI algorithms.
personalized Science/Artificial
3. Financial Advisor: Offers personalized
financial advice. Intelligence
financial advice using AI-driven analytics.
Spatial data Geography,
1. Geographic Information Systems (GIS)
analysis, remote Geology,
Specialist: Analyzes spatial data using AI.
Geospatial sensing, and Computer
2. Remote Sensing Analyst: Interprets
mapping Science/Artificial
satellite imagery using AI algorithms.
technologies. Intelligence
 3. Mapping Technician: Uses AI-enabled
drones for mapping.
1. AI-powered Fabric Design Specialist:
Creates innovative textile patterns using AI.
Fabric design, 2. Textile Quality Control Inspector: Chemistry, Art &
quality control, Ensures product quality using AI-enabled Design, Computer
Textile
and inventory systems. Science/Artificial
management. 3. Smart Inventory Management Specialist: Intelligence
Optimizes inventory levels using AI
algorithms.
1. Generative Design Assistant: Optimizes
Design Art & Design,
design solutions using AI algorithms.
optimization, user Computer
2. AI-powered UX Designer: Enhances user
Design experience Science/Artificial
experience using AI-driven insights.
enhancement, and Intelligence,
3. AI-powered Content Creator: Generates
content creation. Mathematics
content using AI tools.
1. Marketing Campaign Automation
Specialist: Automates marketing
Campaign Business Studies,
campaigns using AI.
automation, Mathematics,
Sales & 2. Customer Segmentation Analyst:
customer Computer
Marketing Segments customers based on behavior
segmentation, and Science/Artificial
using AI.
sales forecasting. Intelligence
3. Sales Forecasting Analyst: Forecasts
sales using AI models.
1. AI-powered Fashion Stylist:
Personalized Recommends personalized clothing Fashion Design,
fashion combinations using AI. Mathematics,
Fashion recommendations, 2. Trend Analyst: Analyzes fashion trends Computer
trend analysis, and using AI algorithms. Science/Artificial
virtual try-on. 3. Virtual Clothing Try-on Specialist: Allows Intelligence
virtual try-on of clothing using AI and AR.
ADDITIONAL LEARNING RESOURCES:
Here are some resources you can explore, bookmark, and keep in mind if you would
like to explore more about AI and stay in touch with the latest developments in the field.
This is a curated listing. There are many organizations and websites to explore, depending
on your interests.
News and blogs to stay current
 Analytics Insight offers insights, latest news, and a magazine featuring opinions and
views of top industry leaders and executives who share their journeys, experiences,
success stories, and knowledge to grow profitable businesses.
 Towards Data Science is an online publication in which independent authors who
follow their rules and guidelines can publish their work, share their knowledge and
expertise, and engage a wide audience on Medium.
  KDnuggets is a leading site on data science, machine learning, AI, and analytics. It
contains excellent tutorial materials, courses, webinars, online events.
 Data Science Central is a leading online resource for data practitioners. From
statistics and analytics to machine learning and AI, Data Science Central provides a
community experience that includes a rich editorial platform, social interaction,
forum-based support, and the latest information on technology, tools, trends, and
careers.
 Datanami is a news portal dedicated to providing insight, analysis, and up-to-the-
minute information about emerging trends and solutions in big data.
Free learning opportunities to build skills
Note: You will need to sign up for a free account for the following online learning opportunities.
 You can take advantage of IBM SkillsBuild to power your future in tech with job skills,
courses, digital credentials, and more.
 Kaggle offers free online micro courses to help you gain the skills you need to do
independent data science projects. Kaggle also allows you to grow your data science
and machine learning skills by competing in Kaggle competitions. Find help in
the documentation or learn about Community Competitions.
 Udemy offers a variety of free video-based courses on artificial intelligence, including
a short, practical hands-on course on artificial intelligence, called Kickstart Artificial
Intelligence. Udemy also offers a course called Artificial Intelligence: Preparing Your
Career for AI, which covers what you should be doing now to prepare for the coming
of AI.
 freeCodeCamp.org offers a rundown of All the Math You Need to Know in Artificial
Intelligence. Jason Dsouza gives you an overview of the core math principles you
need to focus on to work in AI.
 DataCamp offers a free, two-hour Machine Learning for Everyone course which
introduces machine learning without coding involved.
 W3Schools is the world’s largest web developer site that offers a variety of free online
tutorials with hands-on practice. The site includes tutorials on some popular data
science programming languages, such as Python, R, and SQL.
 Codecademy offers free coding classes on 12 different programming languages
including Python, Java, and C++.
Additional information regarding colleges offering professional course in AI.
 IIT Madras – Four year Bachelor of Science Degree in Data Science and Applications
https://study.iitm.ac.in/ds/
 AICTE – All India Council for Technical Education’s unique website – “Digital Skilling”.
Explore this site for a wide variety of course and internships. https://1crore.aicte-india.org/
 Most of the top colleges in India now offer B.Tech courses in AI and Ml, Data Science,
Robotics and Computer Science with specializations. Students can visit college websites to
know more about these courses. Also, some colleges are offering BSc in AI and ML.
REFERENCES : IBM Skills Build
 EXERCISES:
A. Multiple Choice Questions
1. Which of the following is a job role in AI related to the automobile industry?
a. Robotics Engineer
b. Virtual Nurse Assistant
c. Sales Forecasting Analyst
d. Autonomous Vehicle Engineer
2. Identify the important soft skill required for AI professionals.
a. Expertise in neural networks
b. Effective communication
c. Proficiency in Python
d. Knowledge of big data technologies
3. Which industry uses AI for personalized travel recommendations?
a. Tourism
b. Banking
c. Healthcare
d. Geospatial
4. What is the purpose of the website “Data Science Central”?
a. Providing a community experience for data practitioners
b. Offering free video-based courses on AI
c. Analyzing market trends using AI algorithms
d. Providing insight into emerging trends in big data
5. Which industry uses AI for market analysis and fraud detection?
a. Finance
b. Media
c. Textile
d. Design

B. Short answer questions:

1. Name some common job roles in the field of artificial intelligence (AI).
2. What are some essential technical skills required for a successful career in AI, and why
are they important?
3. What is the role of AI professionals in healthcare, finance, and retail industry?
4. List some popular AI tools and programming languages used by AI professionals.
5. What soft skills do AI professionals need, and how do they help them succeed?
6. Why is continuous learning crucial in AI, and how do professionals stay updated with the
latest advancements?

C. Long answer questions.

1. How does the global demand for AI professionals affect career opportunities in the field?
2. What are some common job roles in the field of AI, and how do they contribute to the
development and implementation of AI solutions across various industries?