The Applied Artificial Intelligence (AI) Course Online is designed to provide comprehensive, in-depth training in Applied Artificial Intelligence (AI). Prerequisites Basic programming knowledge Understanding of basic mathematics Interest in AI and problem-solving What Will You Learn Introduction to AI & Intelligent Machines Mathematics for AI (linear algebra, probability, optimization) Machine Learning Fundamentals Classical ML Algorithms (SVM, trees, clustering, PCA) Deep Learning & Neural Networks (PyTorch, TensorFlow) Computer Vision (CNNs, YOLO, transfer learning) NLP (Transformers, BERT, GPT, fine-tuning) Generative AI & LLMs (RAG, prompt engineering, agents) Reinforcement Learning (Q-learning, policy gradients) AI Ethics, Bias & Governance (SHAP, EU AI Act) MLOps & Deployment (Docker, FastAPI, MLflow) Learning Objectives Understand AI Fundamentals Build ML Models Work with Deep Learning Apply NLP & Computer Vision Deploy AI Systems Navigate AI Ethics Languages, Frameworks & Tools Covered Python PyTorch TensorFlow Scikit-Learn HuggingFace Jupyter MLflow Docker FastAPI AWS / GCP LangChain Pandas / NumPy The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.
