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AI+ Cloud™

# AT-110

Revolutionize Cloud Computing with Advanced AI Integration
  • Certification Duration: 40 Hours
The AI+ Cloud™ certification program is meticulously designed for developers and IT professionals striving to master cloud computing integrated with Artificial Intelligence (AI). This certification equips learners with cutting-edge skills in cloud AI model development, advanced cloud infrastructure design, and seamless AI deployment strategies. Participants will explore key concepts of cloud-based AI solutions, CI/CD pipelines, and optimization techniques, preparing them to lead in the evolving landscape of AI-powered cloud environments. This program culminates in a hands-on capstone project, enabling participants to design and implement scalable AI-driven cloud solutions tailored to real-world applications. Graduates of this program will be positioned as industry leaders in cloud computing innovation.

$495.00

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What’s included?
One-year subscription (with all updates):

  • High-Quality Videos and E-Book
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Proctored Exam with One Free Retake
  • Exam Study Guide

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

  • 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%

Tools You'll Master

TensorFlow
SHAP (SHapley Additive exPlanations)
Amazon S3
AWS SageMaker

What Will You Learn?

AI Model Development
Gain expertise in training, constructing, and optimizing machine learning models within cloud-based ecosystems, including preprocessing and model selection techniques.
Problem-Solving in AI and Cloud
Learn to apply AI tools to solve complex cloud infrastructure challenges, enhancing productivity and business efficiency.
Mastering Cloud AI Deployment
Master advanced cloud AI integration workflows, including deployment pipelines, CI/CD processes, and version control systems for seamless AI implementation.
Optimization Techniques
Discover effective methods to optimize AI models for improved performance, cost efficiency, and scalability in cloud ecosystems.

Certification Modules

Course Overview
  1. Course Introduction Preview
Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud
  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
Module 2: Introduction to Artificial Intelligence
  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
Module 3: Fundamentals of Cloud Computing
  1. 3.1 Cloud Service Models
  2. 3.2 Cloud Deployment Models
  3. 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
Module 4: AI Services in the 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
Module 5: AI Model Development in the Cloud
  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
Module 6: Cloud Infrastructure for AI
  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
Module 7: Deployment and Integration
  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
Module 8: Future Trends in AI+ Cloud Integration
  1. 8.1 Introduction to Future Trends
  2. 8.2 AI Trends Impacting Cloud Integration
Module 9: Capstone Project
  1. 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
Optional Module: AI Agents for Cloud Computing
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Industry Opportunities after Certification Completion

Median Salaries
$80,383
With AI+ Cloud™
$141,310
% Difference
76
Begin your Journey
Cloud Solutions Developers

Build and deploy custom AI solutions that leverage cloud infrastructure to drive innovation and business growth.

Solutions Executive

Strategically implement AI-powered cloud services to optimize performance and scalability for various industries.

Cloud Services Developer

Integrate and scale AI applications using major cloud platforms for efficient deployment and management.

Cloud Integration Specialists

Ensure seamless interoperability and top-tier performance by integrating AI-driven solutions with cloud services.

Trusted Reviews 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!
View Post

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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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