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Microsoft Azure AI and Machine Learning: Building Solutions Workshop (1 Day)

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The workshop on Upskilling Execution for Building Solutions with Azure AI and Machine Learning spans one day and focuses on enhancing your team’s capabilities in utilizing Azure Machine Learning. Through this engagement, participants will acquire essential skills and knowledge to support successful adoption, operation, and governance of AI solutions. The experts will guide your team in creating effective migration strategies and best practices, ensuring you are prepared to leverage Azure’s powerful machine learning tools for innovative problem-solving in your organization.

Key Components

  • Skill Assessment: Evaluate your team’s current knowledge and skills in Azure AI and Machine Learning.
  • Governance Framework: Establish best practices and frameworks for effective governance in AI project management.
  • Operational Guidance: Gain insights on implementing effective operational strategies for managing AI workloads.
  • Migration Strategies: Learn streamlined migration plans to enhance your current infrastructure with Azure AI.
  • Hands-on Training: Engage in practical sessions that equip your team with essential Azure AI and Machine Learning skills.

Your Benefits

  • Expert Services: Get first-hand insights and guidance from the experts.
  • Enhanced Team Capability: Empower your team with the necessary skills to excel in AI and Machine Learning projects.
  • Strategic Frameworks: Implement robust governance and operational strategies for sustainable AI adoption.
  • Accelerated Learning: Expedite the learning curve with targeted educational resources and expert-led sessions.
  • Improved Operational Efficiency: Optimize workflows and processes to maximize the potential of Azure AI technologies.

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Disclaimer: The services and descriptions provided herein are subject to change without prior notice. While we strive to ensure the accuracy and completeness of the information presented, we make no guarantees or warranties, express or implied, regarding the reliability, availability, or suitability of the services for any particular purpose.

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