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LinkedIn Learning

Become a Machine Learning Engineer

via LinkedIn Learning Path

Overview

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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.

Syllabus

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.

Courses

Taught by

Doug Rose, Frederick Nwanganga, Kumaran Ponnambalam, Khaulat Abdulhakeem, Adam Geitgey, Eduardo Corpeño and Bhavani Ravi

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