AI+ Cloud™

AT-110

Certification Duration: 40 hours (5 Days)

Transform Cloud Computing with Cutting-Edge AI integration Elevate your cloud management with AI. Learn to optimize performance, improve resource allocation, and automate cloud solutions with our course + exam bundle.  
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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 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.

At a Glance: Course + Exam Overview

Program Name 
AI+ Cloud™
Included 
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration 
  • Instructor-Led: 5 day (live or virtual) 
  • Self-Paced: 30 hours of content
Prerequisites
Key concepts in both artificial intelligence, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
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Who Should Enroll?

  • 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 & New Graduates: Gain a competitive edge in the cloud computing field by mastering AI tools and techniques that are revolutionizing cloud infrastructure. 

Job Roles & Industry Outlook 

AI Cloud Specialist

Industry Growth

  • The global AI in cloud computing market is expected to grow at a CAGR of 35.2% from 2021 to 2028, (Source: Grand View Research).
  • AI-powered cloud tools are transforming industries such as finance, healthcare, and retail, automating data processing, improving resource management.
  • The adoption of AI-enhanced cloud computing is increasing, with businesses using AI for predictive analytics, automation, and cloud security.
  • AI-driven cloud automation is becoming essential for businesses scaling operations, improving efficiency in resource management, reducing costs.
  • AI in cloud computing is revolutionizing industries like SaaS, PaaS, and IaaS, where AI-powered solutions optimize service delivery, enhance data security.
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Skills You’ll Gain

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

What You'll Learn

  1. Course Introduction
  1. 1.1 Introduction to AI and Its Application
  2. 1.2 Overview of Cloud Computing and Its Benefits
  3. 1.3 Benefits and Challenges of AI-Cloud Integration
  1. 2.1 Basic Concepts and Principles of AI
  2. 2.2 Machine Learning and Its Applications
  3. 2.3 Overview of Common AI Algorithms
  4. 2.4 Introduction to Python Programming for AI
  1. 3.1 Cloud Service Models
  2. 3.2 Cloud Deployment Models
  3. 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
  1. 4.1 Integration of AI Services in Cloud Platform
  2. 4.2 Working with Pre-built Machine Learning Models
  3. 4.3 Introduction to Cloud-based AI tools
  1. 5.1 Building and Training Machine Learning Models
  2. 5.2 Model Optimization and Evaluation
  3. 5.3 Collaborative AI Development in a Cloud Environment
  1. 6.1 Setting Up and Configuring Cloud Resources
  2. 6.2 Scalability and Performance Considerations
  3. 6.3 Data Storage and Management in the Cloud
  1. 7.1 Strategies for Deploying AI Models in the Cloud
  2. 7.2 Integration of AI Solutions with Existing Cloud-Based Applications
  3. 7.3 API Usage and Considerations
  1. 8.1 Introduction to Future Trends
  2. 8.2 AI Trends Impacting Cloud Integration
  1. 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem

Tools You’ll Master

Tool TensorFlow

TensorFlow

Tool SHAP (SHapley Additive exPlanations)

SHAP (SHapley Additive exPlanations)

Tool Amazon S3

Amazon S3

Tool AWS SageMaker

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 important for machine learning, which is a core component of AI+ Cloud™ program.

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

  • Introduction to Artificial Intelligence in Cloud – 12%
  • Advanced AI Techniques for Cloud Solutions – 14%
  • Generative AI in Cloud Management – 14%
  • Cloud Digitization with AI – 12%
  • Intelligent Cloud Management – 14%
  • Industry Aspects of AI in Cloud Computing – 12%
  • AI Policies for Cloud Security and Management – 12%
  • AI Cloud Management Masterclass – 12%

Choose the Format That Fits Your Schedule

Instructor-Led (Live Virtual/Classroom)

  • 5 days of intensive training with live demos
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Purchase Instructor-Led Course

Self-Paced Online

  • ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
  • Learn anywhere, anytime, with modular quizzes to track progress
Purchase Self-Paced Course

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

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Frequently Asked Questions

The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.

This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.

Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.

This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.

The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.

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