AI+ Cloud™

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