Prerequisites
- A strong foundational understanding of artificial intelligence and cloud computing principles.
- Basic knowledge of programming languages, data structures, and algorithms.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Basic understanding of mathematics for machine learning, essential for AI model building.
Exam Details
- Modules (9)
- Examination (1)
- 50 MCQs, 90 Minutes
- Passing Score (70% (35/50) )
Exam Blueprint
| Modules | Percentage |
|---|---|
| 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 |
What you will get
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
Why This Certification Matters
- 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 processes. - 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.
Who Should Enroll
Cloud Professionals
Enhance your cloud management skills by integrating AI to optimize cloud performance and improve resource utilization.
Cloud Architects and 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 and Fresh Graduates
Gain a competitive edge in the cloud computing field by mastering AI tools and techniques that are revolutionizing cloud infrastructure.
- TensorFlow
- SHAP (SHapley Additive exPlanations)
- Amazon S3
- AWS SageMaker
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 is important for machine learning, which is a core component of the AI Plus Cloud program.
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%
Frequently Asked Questions
How is the course structured
The course combines theoretical modules with practical sessions and concludes with a capstone project. This structure ensures a strong foundation in concepts along with hands-on experience in AI and cloud integration.
Who should enroll in this certification
This program is ideal for developers, IT professionals, and cloud practitioners who have a basic understanding of AI and cloud computing and are looking to enhance their skills in integrating AI with platforms such as AWS, Azure, or Google Cloud.
What practical skills will I gain from this course
You will learn to deploy AI models on cloud platforms, optimize model performance, apply AI-driven automation, and manage AI-based security and analytics. The course equips you with the skills to build and scale AI-powered cloud solutions.
How does this certification benefit my career
This certification validates your ability to integrate AI with cloud infrastructure, enhancing your credibility and competitiveness in the job market. It prepares you for roles in AI-cloud architecture, infrastructure automation, and AI strategy.
What kind of projects will I work on during the course
You will work on a capstone project that involves designing, building, and deploying a scalable AI-powered cloud solution. This project helps demonstrate your ability to solve real-world challenges using AI and cloud technologies.
