Artificial Intelligence Course After 12th - PowerPoint PPT Presentation

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Artificial Intelligence Course After 12th

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Embark on a transformative journey with our Artificial Intelligence course after 12th. Discover the fascinating realm of AI through hands-on learning, expert guidance, and real-world applications. Unleash your potential and gain a competitive edge as you delve into the future of technology and innovation. Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves creating machines or programs that can learn, reason, and make decisions in a way similar to humans. – PowerPoint PPT presentation

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Title: Artificial Intelligence Course After 12th


1
Artificial Intelligence Course After 12th
Artificial Intelligence (AI) is an exciting field
that opens up opportunities for students after
completing their 12th. Embark on a journey to
explore the world of AI with us.
2
Why Study AI After 12th?
The Global Move to AI
Early Advantage
Interdisciplinary Approach
The world is becoming more automated than ever
before. AI offers new frontiers of growth and is
advancing constantly.
Studying AI early on in life brings a tremendous
advantage.
It combines different disciplines, making it a
perfect subject for those inclined towards both
technical and non-technical fields.
3
Scope of AI in the Future
Healthcare
Retail
AI will bring innovative solutions to better
healthcare delivery and diagnoses through medical
imaging and genetic profiling.
Intelligent systems will make tailored
recommendations, improving customer experience
and optimizing supply chain management and
logistics.
Education
Transportation
AI algorithms will revolutionize teaching methods
and expose students to personalized learning
experiences.
Self-driving cars and drones are a few examples
of AI in transportation.
4
Overview of AI Course Syllabus
Introduction to AI
Data Science
Machine Learning
  • Definition and basics of AI
  • Introduction and basic principles
  • Introduction
  • History of AI development
  • Supervised Learning
  • Exploratory Data Analysis
  • Applications of AI
  • Unsupervised Learning
  • Data preparation and processing

5
Skills Required for AI
Problem Solving
Creativity
Maths
Ability to tackle complex problems and break them
down to logical sub-problems.
Ability to think outside the box and find new
solutions.
Strong foundation in calculus, linear algebra,
and probability theory.
6
Career Opportunities in AI
1
Junior Data Analyst
Assist senior data analysts in collecting,
processing, and performing statistical analyses
on large datasets.
2
AI Researcher
Innovate and develop AI algorithms for business
and scientific use cases.
3
AI Strategist
Architect strategic AI solutions that boost
organizational efficiency and execution.
7
Conclusion
1
2
The Future is AI
Skills for the Future
AI is going to transform the way the world
functions in the coming years. Be part of the
revolution, and don't miss out on the opportunity.
AI is a highly rewarding career with lucrative
financial opportunities and the chance to impact
society positively.
3
Continuing Learning
The field of AI is constantly evolving, and there
is always room for growth and development.
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