- Understand the basics of Artificial Intelligence and its real-world applications
- Learn to write simple Python programs related to AI tasks
- Explore core AI concepts like supervised learning, neural networks, and NLP
- Build basic AI models using libraries such as Scikit-learn, TensorFlow, or Keras
- Create simple projects involving chatbots, image recognition, or recommendation systems
- Gain the confidence to explore advanced AI topics and tools
- Be prepared for internships or entry-level roles in AI and ML domains
- Basic computer knowledge (working with files, installing software, browsing the internet)
- No programming background needed — Python will be taught from basics
- Interest in logic, patterns, or problem-solving
- High school level math (algebra, basic statistics)
- A laptop or desktop with internet access
Artificial Intelligence using Python – Full Course Description
Artificial Intelligence (AI) is one of the most transformative and in-demand technologies of the 21st century. This beginner-level course is designed to introduce students to the exciting field of AI in a simple, structured, and hands-on manner using Python — the most widely used language in AI development.
The course begins with the fundamentals of Python programming, ensuring even those with no coding background can follow along. Once the programming basics are covered, students will dive into the foundational concepts of AI, including machine learning, deep learning, neural networks, natural language processing (NLP), and computer vision.
Through practical examples and guided projects, students will explore how AI powers real-world applications — from voice assistants like Alexa and Siri, to recommendation systems like Netflix and Amazon, to intelligent chatbots and image recognition technologies.
Popular libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras will be introduced to help students build and train basic AI models. Emphasis is placed on understanding the "why" behind algorithms — not just using them, but knowing how they work and where to apply them.
This course is ideal for students, fresh graduates, and beginners from any background who are curious about AI and want to build a strong foundation for future careers in AI, machine learning, or data science.
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