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Artificial Intelligence (AI)

Discover the best ways to build AI into your business.

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The opportunity

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Start training

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Go to market

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Grow your practice


Featured courses

Take advantage of these popular courses and learn how to build a successful AI practice that grows your customers’ businesses.

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Cognitive services

Begin by better understanding capabilities of AI optical character recognition and image classification.

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Introduction to bots

Next, learn how bots create personalized, real-time customer experiences.

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Machine learning principles

Progress to a Microsoft edX course explaining key concepts of machine learning with lectures and practical, hands-on experience.

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AI School

Learn how to build intelligence into your solutions by going to AI School. Find insights, learning tools, and more in this interactive experience.

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See AI in action

Experience the possibility of AI firsthand with a live demonstration of its capabilities through the Intelligent Kiosk. Watch the software determine age, gender, and emotion of human faces and invoke services as a result.

Advanced training

Ready to enhance your AI expertise? These courses can help you achieve the skills you need to be successful.

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Cognitive services

Check out these technical trainings to better understand capabilities of AI optical character recognition and image classification.

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Bot framework

Find out how to build, connect, deploy, and manage intelligent bots to naturally interact with customers.

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Machine learning

Explore advanced trainings to help you build deep neural networks for object detection and image-recognition.

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Try Cognitive Services for free

Use these APIs to give your app the ability to see, speak, communicate, and understand.

Start building

Team data science process lifecycle

Follow this recommended lifecycle to structure your data-science projects. Learn the steps—from start to finish—and deploy with your intelligent applications.

Business understanding

Identify business problems and data sources to define project objectives.

Data acquisition and understanding

Consolidate and parse data, then set up a pipeline to process and evaluate new data inputs.


Create data features and set up testable success metrics to determine your model’s viability.


Deploy high-performing models for other applications to seamlessly operationalize.

Customer acceptance

Validate deployment model and deliver to the customer team for production.

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AI blog

Get the latest news and information about Microsoft AI.

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Get involved in the community

Connect with other partners in the Microsoft Partner Community: talk business technology, get inspiration, share knowledge and insights, learn about opportunities, and more.

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