
Explore building intelligent bots using Microsoft Bot Framework and Cognitive Services. Learn to create insightful conversations, integrate AI, and enhance user interactions in your applications.

Learn to build AI solutions using Google OR-Tools for optimization problems. Explore constraint programming, linear programming, and mixed-integer programming through practical examples like Sudoku and scheduling.

Explore computer vision's potential through real-world applications, machine learning, and mixed reality. Discover innovative solutions using 2D/3D cameras and interactive holographic experiences.

Explore TensorFlow's capabilities, limitations, and applications in AI. Learn key concepts, required knowledge, and practical methods for tackling computer vision and natural language processing tasks.

Explore the hidden costs of "free" digital services and open-source software, examining their impact on privacy, data, and societal implications in the modern tech landscape.

Explore Microsoft Cognitive Services Vision API's powerful features for leveraging machine learning in computer vision applications. Learn to implement intelligent functionalities easily and cost-effectively in your projects.

Learn to develop object recognition for HoloLens using Vuforia AR SDK. Explore applications in modern art, asset management, and more in this billion-dollar market.

Explore conversational interfaces, programmable communications, and learn to build apps with Microsoft Bot Framework and Nexmo APIs for SMS and voice interactions.

Explore personal data insights using Azure Machine Learning, Cosmos DB, and Power BI to create a digital assistant for health monitoring and habit formation.

Hands-on tutorial on building neural networks with TensorFlow for computer vision and NLP tasks. Learn key deep learning concepts and gain practical experience in shaping network architectures.

Explore machine learning and computer vision with Amazon tools to predict responses and develop AI algorithms. Learn about S.A.M. (Suspicious Activity Monitor) and its applications in predictive policing.

Explore designing natural language interfaces for AI assistants, covering user interaction, speech interpretation, and best practices for creating intuitive voice-controlled applications.

Explore cutting-edge Azure technologies with Microsoft's Scott Guthrie in this demo-rich talk, covering AI, Azure Stack, VM scale sets, and more for cloud application development and management.

Discover how to leverage Microsoft's Cognitive Services to build smart apps with AI capabilities, including computer vision, language understanding, and speech recognition.

Explore Azure's capabilities for modern cloud development, from AI and serverless computing to global databases, with Microsoft's EVP Scott Guthrie.

Explore deep learning using Microsoft's CNTK and F#. Learn neural network concepts, train models, and integrate them into .NET applications for tasks like computer vision and speech recognition.

Explore real-time IoT solutions: data ingestion, analysis, serverless compute, NLP, and bots. Learn to build actionable intelligence from telemetry data in this comprehensive walkthrough.

Explore optimization techniques for modern computing, from silicon-oriented methods to algorithm adjustments, enhancing performance in speech recognition, self-driving cars, and AI.

Interactive TensorFlow session: build deep learning models from basics to advanced concepts. Hands-on approach to creating and using models in applications, suitable for beginners and experienced developers alike.

Explore Amazon Alexa's inner workings, voice interface design principles, and best practices for building effective skills in this comprehensive session on voice technology.

Learn to build and train custom image recognition models using Cognitive Services, enabling identification of specific objects in photographs without extensive coding.