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

Course Overview

* 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

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

Instructor-led OR Self-paced course + Official exam + Digital badge