Artificial Intelligence
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Microsoft Azure AI Fundamentals: Generative AI
Generative AI is a form of artificial intelligence in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, image, code, and more.
Microsoft Azure AI Fundamentals: Natural Language Processing
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.
Microsoft Bot Framework v4 – Real Life Example & Connect to Facebook Messenger and Website
Build Advance Chat-bot using Natural Language Processing. Learn State Management, Using Property Accessors, LUIS & QnA Maker together | Facebook Messenger Integration | Web-Chat
Microsoft Copilot Masterclass
Copilot Course for Beginners
Modern Generative AI with ChatGPT and OpenAI Models
This course covers generative AI with OpenAI’s ChatGPT, emphasizing prompt design and practical uses in marketing, research, and code generation.
Monetizing Artificial Intelligence
Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.
Multi-Backend Deep Learning with Keras
Understand how to implement deep learning models using Keras across multiple backend frameworks.
Natural Language Processing
Explore natural language processing methods to enable machines to understand and generate human language.
Natural Language Processing with Machine Learning
This course helps you learn the basics of natural language processing with deep learning and machine learning algorithms.
Natural Language Processing with TensorFlow
Deep learning has revolutionized NLP and problems that require a large amount of work in terms of new features. Tuning can now be efficiently solved using NLP.
Navigating AI Ethical Challenges and Risks
Understand ethical challenges in generative AI. Learn about challenges, risks, data privacy, algorithmic bias, and decision-making frameworks for responsible use.
NVIDIA DeepStream development with Microsoft Azure
With NVIDIA DeepStream, you can seamlessly develop optimized Intelligent Video Applications that can consume multiple video, image, and audio sources. You can also apply single or cascading inference operations to video frames in real-time, and transmit inference results to the cloud for archiving or additional processing.