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Microsoft

Build the vision - visual content creation with Copilot, Designer & Clipchamp

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Evaluate how Microsoft Copilot, Designer, and Clipchamp streamline image generation, video editing, and media enhancement tasks for music video production.

Units in this learning path:

• Introduction
• AI Media Production
• Using Microsoft Copilot Content Creation
• Enhancing Videos Clipchamp
• Microsoft Designer Music Video Production
• Integrating AI Bring Creative Concepts Life
• Knowledge Check
• Exercise
• Summary

Products: Ms Copilot, AI Services

Roles: Student, Maker, K 12 Educator, Business User, Higher Ed Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 82 minutes

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Microsoft

Build your own AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI

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Build your own AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI.

Units in this learning path:

• Introduction
• Explore Azure Openai
• Understand Vector Database Retrieval Augmentation Generation Embeddings
• Implement Retrieval Augmentation Generation Vcore Based Cosmos Db Mongodb
• Exercise Develop AI Copilot Vcore Based Azure Cosmos Db Mongodb
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Openai

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 73 minutes

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IBM

Building AI Solutions Using Advanced Algorithms and Open Source Frameworks

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This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.
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Amazon Web Services

Building Generative AI Applications Using Amazon Bedrock

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This course is designed for application developers interested in building generative artificial intelligence (generative AI) applications using either the Amazon Bedrock APIs or AWS-LangChain integration. In this course, you will explore the…
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Amazon Web Services

Building Language Models on AWS

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Amazon SageMaker helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models. SageMaker brings together a broad set of capabilities, including access to distributed training libraries, open source and foundation…
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Amazon Web Services

Building Retrieval Augmented Generation (RAG) workflows with Amazon OpenSearch Service

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Retrieval Augmented Generation (RAG) is a powerful technique that enhances the accuracy and relevance of AI-generated responses by combining information retrieval with text generation. In this course, you will explore how to build RAG solutions…
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Amazon Web Services

Building Safe and Responsible Generative AI Applications with Amazon Bedrock Guardrails

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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Amazon Web Services

Building Spring AI MCP Agents Bedrock

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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IBM

Building Trustworthy AI Enterprise Solutions

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This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to exploring the ethical adoption of AI technologies in the enterprise. The individual has demonstrated skills and understanding of the use of AI technologies for business, including: AI industry adoption trends, AI ethical considerations, Natural Language Processing, and Virtual Agents.
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Amazon Web Services

Building a Generative AI-Ready Organization

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Building a Generative AI-Ready Organization is the last course in a three-part series of Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, we recommend you start with the first course in the…
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Amazon Web Services

Building a Machine Learning Ready Organization

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This course provides components needed for successful organizational adoption of machine learning (ML). Course level: Fundamental. Duration: 30 minutes. This course includes presentations, videos, and knowledge assessments.
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Amazon Web Services

Chalk Talks: Amazon Bedrock

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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