AI+ Cloud™ eLearning

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

1. Course Introduction Preview Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud
   • 1.1 Introduction to AI and Its Application
   • 1.2 Overview of Cloud Computing and Its Benefits
   • 1.3 Benefits and Challenges of AI-Cloud Integration
   Module 2: Introduction to Artificial Intelligence
   • 2.1 Basic Concepts and Principles of AI
   • 2.2 Machine Learning and Its Applications
   • 2.3 Overview of Common AI Algorithms
   • 2.4 Introduction to Python Programming for AI
   Module 3: Fundamentals of Cloud Computing
   • 3.1 Cloud Service Models
   • 3.2 Cloud Deployment Models
   • 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
   Module 4: AI Services in the Cloud
   • 4.1 Integration of AI Services in Cloud Platform
   • 4.2 Working with Pre-built Machine Learning Models
   • 4.3 Introduction to Cloud-based AI tools
   Module 5: AI Model Development in the Cloud
   • 5.1 Building and Training Machine Learning Models
   • 5.2 Model Optimization and Evaluation
   • 5.3 Collaborative AI Development in a Cloud Environment
   Module 6: Cloud Infrastructure for AI
   • 6.1 Setting Up and Configuring Cloud Resources
   • 6.2 Scalability and Performance Considerations
   • 6.3 Data Storage and Management in the Cloud
   Module 7: Deployment and Integration
   • 7.1 Strategies for Deploying AI Models in the Cloud
   • 7.2 Integration of AI Solutions with Existing Cloud-Based Applications
   • 7.3 API Usage and Considerations
   Module 8: Future Trends in AI+ Cloud Integration
   • 8.1 Introduction to Future Trends
   • 8.2 AI Trends Impacting Cloud Integration
   Module 9: Capstone Project
   • 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
   Optional Module: AI Agents for Cloud Computing
   • 1. Understanding AI Agents
   • 2. Case Studies
   • 3. Hands-On Practice with AI Agents
   Tools you will explore
   • TensorFlow
   • SHAP (SHapley Additive exPlanations)
   • Amazon S3
   • AWS SageMaker

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Self study materials are available for 365 days.