Artificial Intelligence (AI) & Machine Learning (ML) TRAINING

What Will You Learn?

• Understand the fundamental difference between AI, Machine Learning, and Deep Learning.
• Implement key ML algorithms like Linear Regression, Logistic Regression, and Decision Trees.
• Learn about neural networks and the basics of deep learning with TensorFlow or PyTorch.
• Work on practical projects in areas like image recognition and natural language processing (NLP).
• Understand the ethics and societal impact of AI.

Material Includes

• 25-30 hours of high-definition video lectures.
• Jupyter notebooks with code examples and explanations.
• Real-world datasets for building and training models.
• Access to a student community forum.
• A verifiable Certificate of Completion from Skillsflick

Requirements

• Basic knowledge of Python programming is required.
• A computer with an internet connection.
• Familiarity with high school level mathematics.

Audience

• Students with a basic understanding of Python.
• Aspiring AI/ML Engineers and Data Scientists.
• Anyone fascinated by the future of technology and intelligent systems.