Machine Learning Architects interpret real-time analysis of data to automate and increase efficiency across all business domains, setting the stage for meaningful AI that moves from reactive to predictive. This role-based path guides you in the transition from becoming a DL Programmer to a ML/DL Architect Master. The ML Programmer to ML Architect role-based journey takes a learner on a path that starts with courses covering areas that ML Programmers typically are involved with on a
day-to-day basis. By the end of the journey, the learner will have worked up to applied predictive modeling, on-prem, cloud, and hybrid platforms, neural networks, and building an enterprise-grade architecture. Key technologies covered such as Python, Natural Language Toolkit (NLTK), spaCy, Scikit-learn, Keras, TensorFlow, and more.