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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
  1. Average Length: 10 weeks
  2. Effort: 8-10 hours per week
  3. Number Of Courses: 10 Courses in Program
  4. Subject: Artificial Intelligence (AI)
  5. Institution: Synergetics IT Services India Pvt. Ltd
  6. Language: English
  7. Video Transcripts: English
  8. Price: Free

Courses

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.

View the Data Science Essentials
Started on 2017-10-01

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.

View the Introduction to Artificial Intelligence
Started on 2017-09-01

The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations.

View the Introduction to Python for Data Science
Started on 2017-10-01

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.

View the Ethics and Law in Data and Analytics
Started on 2018-10-29

Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.

View the Principles of Machine Learning: Python Edition
Started on 2018-10-29

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).

View the Reinforcement Learning Explained
Started on 2018-10-29

A thorough introduction to cutting-edge technologies applied to Natural Language Processing.

View the Natural Language Processing (NLP)
Started on 2018-10-29

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.

View the Speech Recognition Systems
Started on 2018-10-29
Deep Learning Explained DAT236x
Deep Learning Explained

Learn an intuitive approach to building the complex models that help machines solve real-world problems with human-like intelligence.

Starts on 2030-01-01

Learn the essential mathematical foundations for machine learning and artificial intelligence.

View the Essential Mathematics for Artificial Intelligence
Started on 2018-10-29