AI+ Cloud™
# AT-110
Transform Cloud Computing with Cutting-Edge AI integration
- Cloud-AI Fusion: Learn to embed AI into scalable cloud-based systems
- Advanced Infrastructure: Master CI/CD, AI model deployment, and cloud workflows
- Capstone Project: Apply skills to real-world cloud-AI integration scenarios
- Future-Ready Skills: Equip yourself to lead next-gen cloud-AI innovations
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 days (live or virtual) , Self-Paced: 30 hours of content
Prerequisites
Key concepts in both AI, 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
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.
Available Dates
Job Roles & Industry Outlook
Industry Growth: Democratizing AI Across All Sectors
- 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 Overview
- Course Introduction
Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud
- 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
Module 2: Introduction to Artificial Intelligence
- 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
Module 3: Fundamentals of Cloud Computing
- 3.1 Cloud Service Models
- 3.2 Cloud Deployment Models
- 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
Module 4: AI Services in the 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
Module 5: AI Model Development in the Cloud
- 5.1 Building and Training Machine Learning Models
- 5.2 Model Optimization and Evaluation
- 5.3 Collaborative AI Development in a Cloud Environment
Module 6: Cloud Infrastructure for AI
- 6.1 Setting Up and Configuring Cloud Resources
- 6.2 Scalability and Performance Considerations
- 6.3 Data Storage and Management in the Cloud
Module 7: Deployment and Integration
- 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
Module 8: Future Trends in AI+ Cloud Integration
- 8.1 Introduction to Future Trends
- 8.2 AI Trends Impacting Cloud Integration
Module 9: Capstone Project
- 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
Optional Module: AI Agents for Cloud Computing
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Tools You’ll Master
TensorFlow
SHAP
Amazon S3
AWS SageMaker
Prerequisites
- Understand the basics of digital technologies and how they affect life.
- Awareness of ethical principles and societal impact of technology.
- Curiosity and openness to learning about new concepts and technologies.
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:
- 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+ Everyone™ Certified! Equipped to lead in the era of innovation and technology!
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Frequently Asked Questions
How is the course structured?
- 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.
Who should enroll in this certification?
- 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.
What practical skills will I gain from this course?
- 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.
How does this certification benefit my career?
- 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.
What kind of projects will I work on during the course?
- 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.
