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LinkedIn Learning

Become an AI Engineer

via LinkedIn Learning Path

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Overview

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The AI engineer role continues to gain popularity as developers transition into the transformative field of artificial intelligence. In this learning path, you'll gain the skills needed to succeed in this role. This series of courses covers the core concepts and practical skills you need before diving into hands-on training in deep learning, computer vision, and neural networks. Experience with coding in Python is required for this learning path.
  • Master AI engineering essentials.
  • Learn machine learning with Python.
  • Develop skills in full-stack deep learning.
  • Build computer vision applications.

Syllabus

Courses under this program:
Course 1: AI Engineering Essentials: Navigating the Tech Revolution
-Discover the core concepts and technical skills required to become a successful AI developer.

Course 2: Machine Learning with Python: Foundations
-Learn the basics of machine learning and how you can create a machine learning model with Python.

Course 3: Full-Stack Deep Learning with Python
-Increase your knowledge and get a hands-on understanding of full-stack deep learning with Python.

Course 4: Building Computer Vision Applications with Python
-Get a deeper understanding of computer vision by creating your own image processing applications in Python.

Course 5: 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 6: Deep Learning Foundations: Natural Language Processing with TensorFlow
-Learn foundational deep learning techniques to classify, predict, and generate text using different neural networks.

Course 7: Advanced Python Projects: Build AI Applications
-Learn the skills and knowledge needed to create a portfolio of Python-based applications and tools that can be showcased to employers or used to bring your own ideas to life.

Courses

Taught by

John Maeda, Frederick Nwanganga, Janani Ravi, Eduardo Corpeño, Harshit Tyagi and Priya Ranjani Mohan

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