Expert Artificial Intelligence

What Will You Learn?

• Advanced deep learning architectures (Transformers, GANs, Autoencoders)
• Reinforcement learning with Q-learning, Deep Q-Networks (DQN), and Policy Gradient methods
• Large-scale AI model training and optimization (distributed computing, TPU/GPU acceleration)
• Generative AI (ChatGPT, Stable Diffusion, AI-generated media)
• Self-supervised and semi-supervised learning techniques
• Explainable AI (XAI) and model interpretability techniques
• AI deployment strategies (containerization, model serving, and edge AI)
• AI security and adversarial machine learning
• Ethical AI, bias mitigation, and responsible AI development
• Real-world applications: AI in healthcare, finance, cybersecurity, robotics, and autonomous systems