This course introduces students to the core concepts, techniques, and applications of Artificial Intelligence. Designed for beginners, it explores the foundations of AI, including machine learning, natural language processing, computer vision, and neural networks. Students will gain a strong understanding of how AI systems are built, trained, and deployed, as well as the ethical considerations that come with their use. Through real-world examples and hands-on activities, participants will learn how AI is shaping industries such as healthcare, finance, cybersecurity, and everyday life. By the end of the course, students will be able to explain key AI concepts, evaluate AI applications, and understand how to leverage AI tools in practical scenarios.
Course Features
- Lecture 0
- Quiz 0
- Duration 32 hours
- Skill level Beginner
- Language English
- Students 53
- Assessments Yes
Curriculum
- 6 Sections
- 0 Lessons
- 32 Hours
- Module 1: Introduction to AIHistory of AI AI in everyday life Types of AI (narrow, general, super AI)0
- Module 2: Core Concepts of AIMachine learning basics Supervised vs unsupervised learning Neural networks introduction0
- Module 3: AI Tools & FrameworksPython for AI TensorFlow, PyTorch, Scikit-learn Pre-trained models0
- Module 4: Data in AIData collection and cleaning Importance of datasets Bias and ethics in AI0
- Module 5: Applications of AINatural language processing (NLP) Computer vision AI in cybersecurity and business0
- Module 6: AI Careers & Future TrendsAI jobs and certifications Emerging AI technologies Risks and opportunities in AI0
