• Understand the fundamentals of AI and ML
• Learn various machine learning algorithms
• Implement AI and ML models using popular frameworks
• Analyze and interpret data for decision making
• Develop problem-solving skills using AI techniques
• Explore real-world applications of AI and ML

• Basic knowledge of programming
• Understanding of data structures and algorithms
• Knowledge of statistics and probability
• Understanding of linear algebra
• Basic knowledge of machine learning concepts
• Knowledge of Python programming language

• Introduction to AI and ML
• Machine Learning Algorithms
• Deep Learning and Neural Networks
• Supervised and Unsupervised Learning
• Reinforcement Learning
• AI and ML Frameworks
• AI and ML Applications

Course catalog