A.I. Training and Workshops

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.  

Stop wondering.
Start building.

Learn from experts in the field

Our instructors are well regarded data science practitioners with a track record of developing successful A.I. solutions for business use cases.

Solve real problems

We incorporate actual use-cases, examples and labs in our classes so you are ready to take on challenges at the workplace.

Get ongoing support & guidance

We provide ongoing support via consulting, coaching and our public forums and build a lasting relationship.

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. 

NLP TOOLS

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.