• Importance of AI in business and digital transformation
• Role of neural networks in modern AI
• Industry use cases in healthcare, finance, and automation
• Course objectives and learning roadmap
• Career opportunities in AI and ML
• Linear algebra and calculus basics
• Probability and statistics
• Numerical computing
• Best practices
• Installation and environment setup
• Keras API
• Building first models
• Optimization
• Activation functions
• Backpropagation
• Loss functions
• Model evaluation
• Image classification
• Object detection
• Transfer learning
• Real-world applications
• Sequence models
• LSTM and GRU
• Language modeling
• Optimization
• Attention mechanisms
• Generative models
• Large language models
• Innovation and use cases
• Regularization
• Model compression
• Latency and efficiency
• Continuous improvement







