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This learning path will support you in upskilling for a career in machine learning.
Explore the basics of AI and machine learning and then move into a hands-on approach by building machine learning applications and training your own neural networks. An existing knowledge of Python is recommended.- Learn tools needed to be a machine learning engineer.
- Build your own deep learning applications and chatbots.
- Create, build, and train a neural network using Python.
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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 how to use machine learning to make better decisions and find patterns in your data.
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: 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 6: Building and Deploying Deep Learning Applications with TensorFlow
-Discover how to install TensorFlow and use it to create, train, and deploy a machine learning model.
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.
Course 8: Developing Chatbots with Azure
-Chatbots are quickly trending to be the "new app" in the world of development. Stay ahead of the curve by learning to develop chatbots with Azure.