Categories Cloud Computing

AI+ Cloud™

  • Transform Cloud Computing with Cutting-Edge AI integration

$174.50

Intermediate
AI+ Cloud.
40h
1 Year.
$174.50
Training 5 or more people?

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
  • 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.

Course Curriculum

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

Learning Objectives

  • The Al+ 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 Al and cloud computing, encompassing advanced cloud infrastructure and Al model deployment.
  • Participants gain practical insights into cloud- based Al applications, culminating in an interactive capstone project.
  • With these skills, graduates are primed to navigate the dynamic Al+ Cloud™ integration landscape, equipped to design and implement Al solutions seamlessly within cloud environments for sustained success.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Cloud Professionals.
  • Cloud Architects & Engineers.
  • IT Infrastructure Managers.
  • Business Leaders.
  • Students & Fresh Graduates.

Job Roles & Industry Outlook 

Al Cloud Architect
Designs Al-powered cloud infrastructure, creating scalable, efficient, and secure cloud environments for organizations.
Cloud Automation Expert
Implements Al-driven automation tools for managing cloud infrastructure, reducing manual intervention and improving operational efficiency.
Al Cloud Data Scientist
Uses Al algorithms and data analytics to analyze cloud-baseddata, providing insights for betterdecision-making and resource management.
Cloud Security Al Specialist
Al technologies are applied to enhance cloud security, detecting anomalies, predicting threats, and ensuring robust protection of cloud.
Cloud Al Integration Specialist
Focuses on integrating Al tools into cloud systems, optimizing cloud performance, scalability, and security.

Exam Information

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)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

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%

Explore our Schedules

Oct 4 - Oct 8
GMT 09:00 AM - 05:00 PM
In-person
Medina
880.5$
5 Days
Jul 26 - Jul 30
GMT 09:00 AM - 05:00 PM
In-person
Doha
880.5$
5 Days
Nov 29 - Dec 3
GMT 09:00 AM - 05:00 PM
In-person
Doha
880.5$
5 Days
Oct 4 - Oct 8
GMT 09:00 AM - 05:00 PM
In-person
Kuwait
880.5$
5 Days
Jul 26 - Jul 30
GMT 09:00 AM - 05:00 PM
In-person
Muscat
880.5$
5 Days
Dec 20 - Dec 24
GMT 09:00 AM - 05:00 PM
In-person
Muscat
880.5$
5 Days

Certificate of Completion

AI+ Cloud.

$174.50

Intermediate
AI+ Cloud.
40h
1 Year.
$174.50
Training 5 or more people?

Learners Also Enrolled For

Want to receive push notifications for all major on-site activities?

Don't have an account yet? Sign up for free