Artificial Intelligence: Fundamentals to Future Technologies

Artificial Intelligence: Fundamentals to Future Technologies

Explore AI fundamentals, Machine Learning, Deep Learning, NLP, physical robots, AGI and future technologies.

What you’ll learn
– Understand the fundamental concepts of Artificial Intelligence and its evolution
– Understand how AI technologies such as Machine Learning, NLP and Robotics are applied in real-world use cases
– Learn the key principles and challenges involved in implementing AI solutions in organizations
– Evaluate the future opportunities, risks, ethical considerations, and societal impact of AI

Requirements
No prior AI or programming experience is required. Basic familiarity with computers and technology is helpful.

Description

Artificial Intelligence is transforming the way we work, create, solve problems, and interact with technology. But understanding AI requires more than knowing a few popular AI tools.
This course provides a structured journey throughArtificial Intelligence, starting with the fundamentals and gradually moving into the technologies, data, real-world applications, implementation, physical robots, and the future of intelligent systems.

You will begin by understanding thefoundations of AI, including what AI is, how it has evolved, and how intelligent systems learn and make decisions. The course then introduces the key technologies behind modern AI, includingMachine Learning, Natural Language Processing (NLP), and Deep Learning, helping you understand their roles and practical applications.

You will exploredata as the fuel for AI, including why data quality, availability, and preparation are critical for building effective AI systems. The course then moves from concepts toreal-world AI applications, showing how AI is being used across industries and solving practical business and societal problems.

You will also explore how organizations move from identifying AI opportunities toimplementing AI solutions, including the challenges related to technology, data, people, processes, and organizational readiness.

A dedicated module introducesPhysical Robots, showing how AI is moving beyond software and into machines that can perceive their environment, make decisions, and perform physical tasks.

Finally, the course looks toward thefuture of AI, including the evolution fromNarrow AI toward Artificial General Intelligence (AGI), along with emerging intelligent systems, opportunities, risks, ethics, governance, and the broader impact AI may have on society.

By the end of this course, you will have a broad, structured understanding of AI — from its fundamental concepts and core technologies to real-world implementation and the future possibilities of intelligent systems
Reference Book

Artificial Intelligence Basics: A Non-Technical IntroductionAuthor: Tom Taulli

Who this course is for
-AI beginners and professionals who want to understand Artificial Intelligence from fundamentals to real-world applications
-Engineers, technology professionals, and students interested in AI, Machine Learning, NLP, and Robotics
-Business and engineering professionals who want to understand how AI can be implemented and applied in real-world scenarios
-Learners interested in the future of AI, including Generative AI, physical robots, AGI, opportunities, risks, and societal impact

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