In this breakout, we’ll tackle AI adoption inside of engineering organizations head-on. You’ll hear about original, empirically grounded research on how software engineers and leaders are thinking about—and rethinking—the role of the software practitioner during this new age of AI-assisted coding. But we’re giving you more than the research in this session. We’ll walk you through our generative AI Adoption Toolkit, which comes complete with a benchmarking assessment adapted from our research. This toolkit allows your org and teams to benchmark their AI adoption readiness and respond appropriately with tools that allow you to meet your teams and engineers where they’re at in their AI adoption journey.

Bring the power of AI into your projects. This course will teach you the fundamentals of OpenAI's API to help you build impactful AI solutions.

Start your journey into the world of generative AI and ChatGPT and see the role they will have in shaping our future.

Steer, flee, avoid! Anything is possible with SteeringBehavior. Make a spaceship game with artificial intelligence & C#!

Build a Mobile Instagram Feed App with React Native and ChatGPT: Master Mobile Application Development

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simulation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to the basic key concepts of computer science. By following the lectures and exercises of this course, you will gain an understanding of algorithms by programming using the language Ruby.

Learn to train a hotdog image recognition model using Python. Understand the process of image classification and model training with real-world datasets for building accurate image classifiers.

Regression is arguably the most widely used machine learning technique, commonly underlying scientific discoveries, business planning, and stock market analytics. This learning material takes a dive into some common regression analyses, both simple and more complex, and provides some insight on how to assess model performance.

Transfer learning is one of the core concepts leveraged for building Generative AI applications. This course teaches the essentials of transfer learning as well as advanced strategies such as fine-tuning and feature extraction.

Learn to transform photos into artistic sketches and paintings using OpenCV. Explore computer vision algorithms and techniques to turn your photos into creative digital art.

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.