About the course

Description:

This course covers the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), providing a comprehensive understanding of key concepts, algorithms, and applications in the field. It explores various techniques used in AI and ML to solve real-world problems, including supervised and unsupervised learning, deep learning, natural language processing, and more.

Key Highlights:

• Key concepts of AI and ML
• Supervised and unsupervised learning algorithms
• Deep learning and neural networks
• Real-world applications of AI and ML

What you will learn:

• Understanding AI and ML Fundamentals
  Learn the basics of AI and ML, including key definitions, concepts, and methodologies.
• Exploring Machine Learning Algorithms
  Discover various ML algorithms such as regression, classification, clustering, and their applications.
• Implementing Deep Learning Techniques
  Delve into deep learning models, neural networks, and frameworks like TensorFlow and PyTorch.
• Applying AI in Real-World Scenarios
  Explore how AI and ML are used in industries like healthcare, finance, marketing, and more.