AI+ Cloud

The AI+ Cloud™ certification program targets developers and IT professionals aspiring to excel in cloud computing integrated with artificial intelligence. The curriculum offers an in-depth exploration of AI and cloud computing, encompassing advanced cloud infrastructure and AI model deployment. Participants gain practical insights into cloud-based AI applications, culminating in an interactive capstone project. With these skills, graduates are primed to navigate the dynamic AI+ Cloud™ integration landscape, equipped to design and implement AI solutions seamlessly within cloud environments for sustained success.

Upon successful completion of the AI+ Cloud certification, participants will adeptly merge cloud computing and artificial intelligence. They'll gain hands-on experience in developing, deploying, and managing machine learning tasks across leading cloud platforms. Mastery includes optimizing AI model performance, enforcing security protocols, and meeting compliance standards. This course aims to furnish you with skills essential for coveted certification, elevating your career profile. Demonstrating proficiency at the intersection of cloud computing and AI, this certification underscores your ability to deliver practical solutions, affirming expertise in seamlessly integrating these innovative technologies.

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.

Exams

• Number of Questions: 50

• Passing Score: 35/50 or 70%

• Duration: 90 Minutes

• Format: Online via AI Proctoring platform

• Question Type: Multiple Choice/Multiple Response

Module Weightage:

• 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 Project - 5%