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Artificial Intelligence: Fundamentals to Future Technologies
New
Rating: 5.0 out of 5(1 rating)
1 students

Artificial Intelligence: Fundamentals to Future Technologies

Explore AI fundamentals, Machine Learning, Deep Learning, NLP, physical robots, AGI and future technologies.
Created byPritee Barde
Last updated 9/2026
English

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

Course content

9 sections • 9 lectures • 2h 47m total length

  • Module 1: Introduction to AI6:46

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 through Artificial 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 the foundations 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, including Machine Learning, Natural Language Processing (NLP), and Deep Learning, helping you understand their roles and practical applications.

You will explore data 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 to real-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 to implementing AI solutions, including the challenges related to technology, data, people, processes, and organizational readiness.

A dedicated module introduces Physical 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 the future of AI, including the evolution from Narrow 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 Introduction
Author: 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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