AI Developer Learning Path
This is AI Developer Learning Path
About This Path
- Introduction to Artificial Intelligence
- Introduction to Python for Data Science
- Data Science Essentials
- Developing Intelligent Apps and Bots
- Essential Mathematics for Artificial Intelligence
- Ethics and Law in Data and Analytics
- Principles of Machine Learning: Python Edition
- Deep Learning Explained
- Reinforcement Learning Explained
- Natural Language Processing (NLP)
- Speech Recognition Systems and Synthesis
- Computer Vision and Image Analysis
- Microsoft Professional Capstone : Artificial Intelligence
Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.
A high-level overview of AI to learn how Machine Learning provides the foundation for AI, and how you can leverage cognitive services in your apps.
The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations.
Analytics and AI are powerful tools that have real-word outcomes. Learn how to apply practical, ethical, and legal constructs and scenarios so that you can be an effective analytics professional.
Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.
Learn how to frame reinforcement learning problems, tackle classic examples, explore basic algorithms from dynamic programming, temporal difference learning, and progress towards larger state space using function approximation and DQN (Deep Q Network).
A thorough introduction to cutting-edge technologies applied to Natural Language Processing.
Learn about the pieces of a modern automatic speech recognition (ASR) system as we cover fundamental acoustic and linguistic theory, data preparation, language modeling, acoustic modeling, and decoding.
Learn an intuitive approach to building the complex models that help machines solve real-world problems with human-like intelligence.
Learn the essential mathematical foundations for machine learning and artificial intelligence.