Make an impact. Learn how to build working solutions for real problems.
With all the buzz around Artificial Intelligence knowing what to learn in order to build impactful A.I. solutions can be a challenge. We understand that companies need to automate workflows and build data-driven features FAST. With that in mind, our classes focus on the “how-to-do-it” along with “what-is-it” to help maximize what you get out of each class. We put great emphasis on practical applications and help connect the dots of how the solutions you develop can be integrated into existing products, services and workflows and all the speed-bumps that you should watch out for during planning and development.
Select From Ongoing Classes
In this hands-on class, you will learn the ins and outs of working with text data to build high accuracy text prediction models. Start tackling document categorization, document parsing, email classification and sentiment analysis problems with ease.
What is A.I.? How to get into it? When should you embrace it? This non-technical course will walk you through the very basics of what A.I. is to when you should consider using A.I. in your department to the type of people you need to be hiring in order to …
Start building deep learning models from scratch! This hands-on course will not only teach you how to build effective deep learning models for text related problems, but will also teach you how to leverage these models in cost effective ways to serve production traffic.
Customize Your Classes
Customize classes based on needs. Topics we ARE EXPERTS AT:
Basics OF AI
How to get into A.I. and Machine Learning? What are the opportunities for A.I. in your domain? Ideal for managers, product manager and non-technical audiences.
Text Mining & NLP
How to effectively analyze and make sense of text data? Specific topics: topic modeling, topic extraction, text classification, summarization, clustering and deep learning for text.
How to effectively leverage tools such as Gensim, NLTK, SpaCy and Spark for text mining, NLP and Machine Learning. Ideal for data scientists, software engineers and researchers.
SEARCH & Recommendation systems
How to build search and recommendation systems from scratch? From basics to how to effectively evaluate these systems effectively. Ideal for data scientists and software engineers.