AI+ Cloud™
AT-110
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
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 30 hours of content
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 & Fresh 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
Cloud AI Integration Specialist
Focuses on integrating AI tools into cloud systems, optimizing cloud performance, scalability, and security.
AI Cloud Architect
Designs AI-powered cloud infrastructure, creating scalable, efficient, and secure cloud environments for organizations.
Cloud Automation Expert
Implements AI-driven automation tools for managing cloud infrastructure, reducing manual intervention and improving operational efficiency.
AI Cloud Data Scientist
Uses AI algorithms and data analytics to analyze cloud-based data, providing insights for better decision-making and resource management.
Cloud Security AI Specialist
AI technologies are applied to enhance cloud security, detecting anomalies, predicting threats, and ensuring robust protection of cloud.
Industry Growth: Scaling Intelligent Cloud Solutions Across Every Sector
- 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.
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
- 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
Tools You’ll Master
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 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 AI 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%
Choose the Format That Fits Your Schedule
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
- Hands-on Labs
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
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
Trusted LinkedIn Reviews Posted by Our Learners
Santosh Singh
Senior IT Infrastructure Manager at NETCOM LEARNING INDIA PRIVATE LIMITED.I am officially AI+ Cloud™ Certified! Equipped to lead in the era of innovation and technology!
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Get CertifiedFrequently 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.
