AI 2018 - Artificial Intelligence Conference

To be a successful early adopter of AI, you need to both understand the broad trends, disruptions, and developments of AI and be able to dive deep into technologies you need to use to apply AI in your organization. It's asking a lot.
You probably know that you can get a broad insider's perspective on where AI is going, a first look at the latest developments, and useful case studies and best practices at the AI Conference (returning to San Francisco Sept 4–7).
But you may not know that you can also get small group courses and sessions on some of the technologies and techniques you need to actually implement AI in your organization there. For example:
Create, optimize, and deploy a deep learning solution using TensorFlow and Caffe
Deep learning with Apache Spark and BigDL, with Keras and TensorFlow support
Neural networks for time series analysis using Deeplearning4j
NVIDIA Deep Learning Institute: AI for computer vision and digital content creation
Bringing AI into the enterprise
PLUS…
TensorFlow at AI—four learning-packed days spotlighting TensorFlow and machine learning (sponsored by Google Cloud)
Blockchain and AI Summit—a one-day program focused on how blockchain technologies will enable a new arc of development in AI and machine learning
The class sizes are kept small to allow plenty of hands-on learning and instructor interaction. But because space is limited, these training courses and full day sessions book up quickly. Make your plans soon.