Artifical Intelligence
Taught by experienced professionals, this course introduces students to the concepts, techniques, and tools that power modern intelligent systems. From machine learning to natural language processing, students gain both theoretical knowledge and hands-on experience, preparing them to develop AI-driven solutions for real-world challenges in business, science, and technology.
4.45
5L+
Learners
Beginner
About this Course
- Introduction to AI – History, applications, and ethics of AI.
- Mathematics for AI – Linear algebra, probability, and statistics basics.
- Machine Learning Fundamentals – Supervised, unsupervised, and reinforcement learning.
- Neural Networks & Deep Learning – Basics of ANN, CNN, RNN.
- Natural Language Processing (NLP) – Text processing, sentiment analysis, chatbots.
- Computer Vision – Image classification, object detection, and recognition.
- AI Tools & Frameworks – TensorFlow, PyTorch, and other libraries.
- AI in Practice – Real-world applications in healthcare, finance, robotics, etc..
- Capstone Project – Building and presenting an AI-powered application.
Skills you'll gain
Problem-Solving with AI Data Analysis & Preprocessing Machine Learning Model Development AI Tool Proficiency Project Execution
$ 200
Duration
2 Hrs
Lectures
Enrolled
200+ students
Language
English
Level
Beginner - Advance
Certificate
Yes
