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

• Leverage AI for Smarter Leadership Decisions: Learn how to harness AI tools to streamline operations, enhance strategic planning, and drive performance.
• Enhance AI Integration Across the Organization: Use AI to accelerate the integration of AI-driven solutions, automating processe.
• Stay Ahead in AI-Driven Innovation: As demand for AI expertise rises, Chief AI Officers with advanced AI knowledge are highly sought after to spearhead AI.
• Boost Strategic Decision-Making with AI Analytics: Master AI models to analyze business data, predict outcomes, and enable more informed, real-time decisions.
• Advance Your Career in AI Leadership: With AI reshaping industries, this certification equips you with the skills needed to lead AI initiatives.

Included : Self-paced course + Official exam + Digital badge
Delivery: Online labs, projects, case studies
Outcome :Industry-recognized credential + hands-on experience

The following tools will be explored in this course:

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

What’s Included (One-Year Subscription + All Updates):

• High-Quality Videos, E-book (PDF & Audio), and Podcasts
• AI Mentor for Personalized Guidance
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake
• Comprehensive Exam Study Guide
• Access for Tablet & Phone

• AI Cloud Infrastructure Management
• Cloud Automation with AI
• Predictive Cloud Analytics
• Cloud Security with AI
• AI-Powered Data Management in Cloud

• Cloud Professionals: Enhance your cloud management skills by integrating AI to optimize cloud performance, improve resource utilization.
• Cloud Architects & Engineers: Learn to leverage AI to design scalable cloud infrastructures, automate cloud provisioning, and enhance security.
• IT Infrastructure Managers: Use AI to optimize cloud deployment, automate system management, and improve cloud security and disaster recovery planning.
• Business Leaders: Drive innovation in your organization by adopting AI in cloud technologies to enhance scalability, reduce costs, and optimize cloud solutions.
• Students & Fresh Graduates: Gain a competitive edge in the cloud computing field by mastering AI tools and techniques that are revolutionizing cloud infrastructure.

• 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.

Course Overview
Course Introduction

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
Course Introduction

Recommended Certifications:

• AI+ Architect™

Exam Details

• Duration: 90 minutes
• Passing Score: 70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)

Exam Blueprint
Fundamentals of Artificial Intelligence (AI) and Cloud - 5%

• Introduction to Artificial Intelligence - 7%
  
• Fundamentals of Cloud Computing - 8%
  
• AI Services in the Cloud - 10%
  
• AI Model Development in the Cloud- 15%
  
• Cloud Infrastructure for AI - 15%
  
• Deployment and Integration - 15%
  
• Future Trends in AI + Cloud Integration - 20%
  
• Capstone - 5%