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Azure AI and Machine Learning Fundamentals Training

About the Training

The Azure AI and Machine Learning Fundamentals Training is highly valuable. This training focuses on artificial intelligence and machine learning techniques. Participants will learn the basics of Azure AI services and explore Azure Machine Learning Studio, a platform that simplifies the model development process.

The training emphasizes data preparation and model training. Participants will learn how to clean and process datasets, which is crucial for creating more accurate machine learning models. This knowledge enhances model performance, ensuring the success of projects.

The course also covers Azure Cognitive Services. Participants will learn how to use image and language processing services, which add rich features to applications and improve user experience. This improvement makes applications more effective.

The training includes techniques for model deployment and management. Participants will learn how to deploy and monitor trained models, allowing for continuous model improvement and keeping applications up-to-date. This up-to-dateness facilitates adaptation to technological advancements.

The Azure AI and Machine Learning Fundamentals Training equips participants with practical skills that help them develop their own AI and machine learning projects. The training fosters expertise in AI and machine learning, enabling participants to create innovative solutions.

In conclusion, this training opens the door to the world of Azure AI and machine learning. Participants will learn to work on AI and machine learning projects, gaining in-demand skills in the industry. By the end of the training, participants will be able to successfully manage AI and machine learning projects, significantly contributing to their professional development.

What Will You Learn?

  • Fundamentals of Azure AI Services: Azure Cognitive Services, Azure Bot Services.
  • Machine Learning Models: Model creation, training, and evaluation.
  • Azure Machine Learning Studio: Workspace, data preparation, and modeling tools.
  • Model Deployment and Integration: Deploying models as web services.
  • Automation and Scaling of AI Solutions: Creating pipelines, automation, and scaling.
  • Real-World Scenarios and Case Studies: Practical examples and projects.

Prerequisites

  • Basic programming knowledge (Python preferred).
  • Fundamental understanding of data structures and algorithms.
  • A general introduction to cloud computing and Azure services is preferred.

Who Should Attend?

  • Basic programming knowledge (Python preferred).
  • Fundamental understanding of data structures and algorithms.
  • A general introduction to cloud computing and Azure services is preferred.

Outline

Introduction: Fundamentals of Azure AI and Machine Learning
  • Overview of Azure AI services
  • Basic concepts of artificial intelligence and machine learning
Azure AI Services
  • Exploration of Azure Cognitive Services
  • Creating chatbots with Azure Bot Services
Machine Learning Models
  • Processes of model creation, training, and evaluation
  • Supervised and unsupervised learning techniques
Azure Machine Learning Studio
  • Introduction to the workspace and tools
  • Data preparation, cleaning, and modeling
Model Deployment and Integration
  • How to deploy models as web services
  • Integration with applications and business processes
Automation and Scaling of AI Solutions
  • Creating pipelines and automation techniques
  • Scaling and managing solutions
Practical Examples and Case Studies
  • Hands-on exercises based on real-world scenarios
  • Review and analysis of successful projects

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