Data Academy Subscription Gets Even Better With Three New Workshops

Posted by Ricky Cadden
May 20, 2020
Blog Posts Category

Today we’re pleased to announce that we’ve added three additional workshops to our Data Academy subscription. These new workshops consist of 26 total courses and add even more value to the Data Academy at no additional cost! 

Since our Data Academy is built for learners looking to become experts in their field, it is important that we continue to include hands-on workshops and helpful exercise demonstrations in the subscription. In fact, today there are over 200 hands-on activities, along with 800+ exercise demonstrations from our Instructors. This gives students plenty of opportunities to actually follow along with a concept. 

These additional workshops are also a way for us to deliver on our promise to always offer the most up-to-date workshops, courses, and knowledge checks available..  

So, what’s new?

Because Data Science and Artificial Intelligence are among the top emerging jobs today, we put an emphasis on making sure that our subscribers were well-equipped to stand out in these roles with the Artificial Intelligence Infrastructure Workshop, as well as the Natural Language Processing Workshop.

The Artificial Intelligence Infrastructure Workshop

  1. Introduction to Data Storage
  2. Understanding Artificial Intelligence Storage Requirements (SCOPHILD)
  3. Updating Data
  4. Introduction to the Ethics of AI Data Storage
  5. Working with Data Stores: SQL and NoSQL Databases
  6. Handling Big Data File Formats
  7. Introduction to Analytics Engine (Spark) for Big Data
  8. Introduction to Data System Design
  9. Introduction to Workflow Management Platform (Airflow)
  10. Introduction to Data Storage on Cloud Services (AWS)
  11. Building an Artificial Intelligence Algorithm
  12. Productionizing your AI application with Docker

The Natural Language Processing Workshop

  1. Natural Language Processing Fundamentals
  2. Pre-Processing Data and Feature Extraction
  3. Machine Learning and Developing a Text Classifier
  4. Extracting and Analyzing Web Data
  5. Using and Comparing Topic Modeling Algorithms
  6. Understanding Word and Document Vectors
  7. Using Text Generators and Summarization Models
  8. Performing Sentiment Analysis with NLP

Being able to apply these skills to machine learning is also extremely important, so we also now offer the Applied AI and Natural Language Processing Workshop.  

The Applied AI and Natural Language Processing Workshop

  1. An Introduction to AWS
  2. Analyzing Documents and Text with Natural Language Processing
  3. Topic Modeling and Theme Extraction
  4. Introduction to Conversational Artificial Intelligence
  5. Using Speech With the Chatbot
  6. Introduction to Computer Vision and Image Processing