About This Course
Skills You’ll Gain
Course Information
Course Code
AI+ Cloud™
Duration
Self-Paced: 40 hours of content
Delivery
Self Paced
Exam Voucher
Included
Course Curriculum
- Course Introduction
- 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
- 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
- 3.1 Cloud Service Models
- 3.2 Cloud Deployment Models
- 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google 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
- 5.1 Building and Training Machine Learning Models
- 5.2 Model Optimization and Evaluation
- 5.3 Collaborative AI Development in a Cloud Environment
- 6.1 Setting Up and Configuring Cloud Resources
- 6.2 Scalability and Performance Considerations
- 6.3 Data Storage and Management in the Cloud
- 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
- 8.1 Introduction to Future Trends
- 8.2 AI Trends Impacting Cloud Integration
- 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
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All You Need to Know
Prerequisites
- 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.
Examination
Duration:90 minutes
Passing Score:70% (35/50)
Format:50 multiple-choice/multiple-response questions
Delivery Method:Online via AI proctored exam platform (flexible scheduling)
Frequently Asked Questions
A foundational understanding of both AI concepts and cloud computing platforms like AWS, Azure, or GCP is recommended.
IT specialists, cloud engineers, and AI practitioners who want to combine cloud infrastructure skills with AI deployment knowledge.
The course covers concepts applicable across major cloud platforms rather than focusing exclusively on one provider.
Basic computer science fundamentals, including programming, data structures, and algorithms, are expected.
AI CERTs exams are typically online, proctored, and combine multiple-choice questions with scenario-based assessment.