Course description

Artificial Intelligence is a branch of computer science that focuses on creating intelligent machines capable of mimicking human thinking and behavior. From understanding natural language to recognizing images and making predictions, AI enables systems to learn from data, adapt to new inputs, and perform complex tasks with minimal human intervention. Today, AI is at the heart of innovations across industries—shaping everything from healthcare and education to finance and entertainment. This course/module will introduce you to the core concepts, applications, and future potential of AI, preparing you to navigate and contribute to an AI-driven world.

What will i learn?

  • By the end of this course, learners will be able to: Understand Core AI Concepts Explain key principles of Artificial Intelligence, including machine learning, neural networks, natural language processing, and computer vision.
  • Identify Real-World Applications Recognize how AI is applied across industries such as healthcare, finance, education, and transportation.
  • Analyze and Solve Problems Using AI Apply AI techniques to simple problem-solving scenarios and explore how machines can learn from data.
  • Work with Basic AI Tools and Frameworks Gain hands-on experience with beginner-friendly AI tools and platforms, including basic Python programming (if applicable).
  • Evaluate the Ethical and Social Implications of AI Reflect on important issues such as AI bias, privacy, automation, and the impact of intelligent systems on society.
  • Prepare for Further Learning or Career Paths Build a solid foundation to pursue advanced AI courses, research, or entry-level roles in data science, machine learning, or related fields.

Requirements

  • To get the most out of this Artificial Intelligence course, we recommend the following: Basic Computer Literacy Familiarity with using a computer, browsing the internet, and using common software tools
  • Foundational Math Skills A basic understanding of high school-level mathematics, especially algebra and probability, will be helpful when learning about algorithms and data analysis.
  • Interest in Technology and Problem-Solving A curious mindset and willingness to explore how intelligent systems work in real life.
  • Optional: Basic Programming Knowledge While not mandatory, familiarity with a programming language like Python can enhance your learning experience. Beginner-friendly tutorials will be provided for those new to coding.

Frequently asked question

This course is designed for students, professionals, and enthusiasts who want to understand the fundamentals of Artificial Intelligence and explore its real-world applications. No prior experience in AI is required, although basic computer knowledge is helpful.

You will learn about key AI concepts such as machine learning, neural networks, natural language processing, and computer vision. The course also covers practical applications, ethical considerations, and emerging trends in AI.

Some modules may include basic programming (commonly in Python), but we offer guided tutorials and resources to help beginners. No advanced coding skills are required.

You’ll have a solid foundation in AI, enabling you to pursue advanced studies, explore AI-related careers, or implement AI concepts in your current field.

Yes. You will have access to discussion forums, course mentors, and support channels where you can ask questions and get help as you learn.

Apoorva Bajaj

₹399

₹999

Lectures

20

Skill level

Beginner

Expiry period

Lifetime

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