AI+ Cloud™

Transform Cloud Computing with Cutting-Edge AI integration
  • Cloud-AI Fusion: Learn to integrate AI into scalable cloud environments
  • Advanced Infrastructure: Master CI/CD, cloud AI models, and deployment strategies
  • Capstone Project: Gain hands-on experience with real-world applications
  • Future-Ready Skills: Prepares professionals to lead AI-powered cloud innovation

Módulos

  • Course Overview:
    1. Course Introduction Preview
  • Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud :
    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
  • Module 2: Introduction to Artificial Intelligence:
    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
  • Module 3: Fundamentals of Cloud Computing:
    1. 3.1 Cloud Service Models
    2. 3.2 Cloud Deployment Models
    3. 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
  • Module 4: AI Services in the 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
  • Module 5: AI Model Development in the Cloud :
    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
  • Module 6: Cloud Infrastructure for AI:
    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
  • Module 7: Deployment and Integration:
    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
  • Module 8: Future Trends in AI+ Cloud Integration :
    1. 8.1 Introduction to Future Trends
    2. 8.2 AI Trends Impacting Cloud Integration
  • Module 9: Capstone Project :
    1. 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
  • Optional Module: AI Agents for Cloud Computing:
    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

Herramientas de IA

  • TensorFlow
  • SHAP (SHapley Additive exPlanations)
  • Amazon S3
  • AWS SageMaker
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