Fundamentals to Become a Machine Learning Engineer

Courses under this program:
Course 1: Artificial Intelligence Foundations: Thinking Machines
-Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

Course 2: Artificial Intelligence Foundations: Machine Learning
-Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.

Course 3: Machine Learning with Python: Foundations
-Learn the basics of machine learning and how you can create a machine learning model with Python.

Course 4: Deep Learning: Getting Started
-Learn the basics of deep learning and get up and running with this technology.

Course 5: Deep Learning: Model Optimization and Tuning
-Learn about various optimization and tuning options available for deep learning models and use them to improve models.

Course 6: Reinforcement Learning Foundations
-Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.

Course 7: Training Neural Networks in Python
-Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.