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AI+ Cloud™

 AT-110Transform Cloud Computing with Cutting-Edge AI integration Cloud-AI Fusion: Learn to integrate AI into scalable cloud environments Advanced Infrastructure: ...


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Skills You’ll Gain

  • AI Cloud Infrastructure Management
  • Cloud Automation with AI
  • Predictive Cloud Analytics
  • Cloud Security with AI
  • AI-Powered Data Management in Cloud
  • A foundational understanding of key concepts in both artificial intelligence and cloud computing.
  • Fundamental understanding of computer science concepts like programming, data structures, and algorithms.
  • Familiarity with cloud computing platforms like AWS, Azure, or GCP.
  • Basic knowledge of mathematics as it important for machine learning, which is a core component of AI+ Cloud™ program.

Duration:90 minutes

Passing Score:70% (35/50)

Format:50 multiple-choice/multiple-response questions

Delivery Method:Online via AI proctored exam platform (flexible scheduling)

  1. Course Introduction

  1. 1.1 Introduction to AI and Its Application
  2. 1.2 Overview of Cloud Computing and Its Benefits
  3. 1.3 Benefits and Challenges of AI-Cloud Integration

  1. 2.1 Basic Concepts and Principles of AI
  2. 2.2 Machine Learning and Its Applications
  3. 2.3 Overview of Common AI Algorithms
  4. 2.4 Introduction to Python Programming for AI

  1. 3.1 Cloud Service Models
  2. 3.2 Cloud Deployment Models
  3. 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)

  1. 4.1 Integration of AI Services in Cloud Platform
  2. 4.2 Working with Pre-built Machine Learning Models
  3. 4.3 Introduction to Cloud-based AI tools

  1. 5.1 Building and Training Machine Learning Models
  2. 5.2 Model Optimization and Evaluation
  3. 5.3 Collaborative AI Development in a Cloud Environment

  1. 6.1 Setting Up and Configuring Cloud Resources
  2. 6.2 Scalability and Performance Considerations
  3. 6.3 Data Storage and Management in the Cloud

  1. 7.1 Strategies for Deploying AI Models in the Cloud
  2. 7.2 Integration of AI Solutions with Existing Cloud-Based Applications
  3. 7.3 API Usage and Considerations

  1. 8.1 Introduction to Future Trends
  2. 8.2 AI Trends Impacting Cloud Integration

  1. 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem

  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

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