Description:

This course provides an introduction to the field of Artificial Intelligence (AI). You will learn about the principles, techniques, and applications of AI, including machine learning, neural networks, natural language processing, and computer vision. Through hands-on projects and assignments, you will gain practical experience in building AI systems and optimizing their performance. By the end of the course, you will have a solid foundation in AI and be able to apply it to solve real-world problems.

Key Highlights:

• Introduction to the field of AI
• Machine learning techniques
• Neural networks and deep learning
• Natural language processing
• Computer vision applications

What you will learn:

• Learning Outcome 1
  Understand the fundamental concepts of AI and its applications in various domains.
• Learning Outcome 2
  Explore different machine learning algorithms and how they are used to train AI models.
• Learning Outcome 3
  Learn about neural networks and deep learning techniques for AI applications.
• Learning Outcome 4
  Discover the principles of natural language processing and its role in AI-based language understanding.
• Learning Outcome 5
  Gain insights into computer vision techniques and their applications in AI-driven image analysis.
• Learning Outcome 6
  Apply your knowledge through hands-on projects and assignments to develop AI systems.