Partner
Exam Preparation

SAIDCE
Strategic AI Deployment in Cloud Ecosystems

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English
Intermediate
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Course Overview

The AI+ Cloud™ training program, designed by LEORON,provides professionals with a comprehensive understandingof how artificial intelligence technologies integrate withmodern cloud computing environments. The courseexplores the fundamental principles of AI and cloudarchitecture while demonstrating how machine learningmodels can be developed, optimized, and deployed usingscalable cloud platforms. Pa

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Key Takeaways

1
Enhanced capability to develop AI-enabled applications in cloud environments​
2
Improved understanding of scalable cloud infrastructure supporting AI workloads​
3
Stronger technical skills in machine learning model deployment and integration​
4
Greater awareness of emerging technologies shaping AI-cloud ecosystems​
5
Increased readiness to implement intelligent cloud- based solutions within enterprise environments​

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Course Outline

Day 1
Foundations of AI and Cloud Computing​

The first day establishes the conceptual foundations necessaryfor understanding the convergence of AI and cloud technologies.​

Key topics include:​

Introduction to artificial intelligence and its business andtechnological applications​

Overview of cloud computing principles and service models​

Benefits and strategic implications of integrating AI withcloud platforms​

Key cloud deployment models and architecture concepts​

Understanding major cloud providers and their ecosystemofferings​

Participants will also explore the value of combining scalablecloud infrastructure with intelligent algorithms to enableadvanced analytics and automation.​

​

Day 2
Artificial Intelligence and Machine Learning Fundamentals​

This session focuses on the technical foundations of artificialintelligence and machine learning.​

Topics covered include:​

Core concepts and terminology in artificial intelligence​

Introduction to machine learning and its major applicationdomains​

Overview of common AI algorithms used in predictive andanalytical models​

Introduction to Python programming for AI and data-drivenapplications​

Practical examples of AI implementation in enterprisesystems​

Participants will gain insight into how machine learning modelsare structured and trained for real-world applications.​

​

Day 3
AI Services and Infrastructure in the Cloud​ ​

Day three explores how cloud platforms enablescalable AI development.​

Topics include:​

Integration of AI services within cloudcomputing platforms​

Working with pre-built machine learningmodels and APIs​

Introduction to cloud-based AI tools andframeworks​

Setting up and configuring cloudinfrastructure for AI workloads​

Data storage, processing, and managementwithin cloud environments​

Participants will examine how cloudinfrastructure supports advanced data processingand model training activities.​

Day 4
AI Model Development and Deployment​

This session focuses on practical aspects of buildingand deploying machine learning models in the cloud.​

Topics covered include:​

Building and training machine learning models incloud environments​

Model optimization techniques and performanceevaluation​

Strategies for deploying AI models to productionsystems​

Integrating AI solutions with existing enterpriseapplications​

Using APIs and services to operationalize AIcapabilities​

Participants will learn how to transition AI modelsfrom development environments into real-worldcloud deployments.​

Day 5
Future Trends and Capstone Application​

The final day consolidates learning throughapplied practice and future-oriented discussions.​

Key topics include:​

Emerging trends in AI and cloud integration​

Innovations shaping next-generation AI-powered cloud ecosystems​

Case studies demonstrating enterprise AI-cloud deployments​

Hands-on exercises solving real-worldproblems using AI and cloud tools​

Capstone scenario integrating conceptslearned throughout the program​

Participants will complete a practical exercisedemonstrating their ability to combine AItechnologies with scalable cloud environments.​

​

Who Should Attend?

This highly practical and interactive course has been specifically designed for

Cloud Architects

Cloud Engineers

AI Engineers

Machine Learning Engineers

DevOps Engineers

FAQ

What language will the course be taught in and what level of English do I need to take part in an LEORON training program?
Most of our public courses are delivered in English language. You need to be proficient in English to be able to fully participate in the workshop and network with other delegates. For in-house courses we have the capability to train in Arabic, Dutch, German and Portuguese.
Are LEORON Public courses certified by an official body/organization?
LEORON Institute partners with 20+ international bodies and associations.We also award continuing professional development credits (CPE/PDUs) for:1. NASBA (National Association of State Boards of Accountancy) 2. Project Management Institute PDUs 3. CISI credits 4. GARP credits 5. HRCI recertification credits 6. SHRM recertification credits
What is the deadline for registering to a public course?
The deadline to register for a public course is 14 days before the course starts. Kindly note that occasionally we do accept late registrations as well, but this needs to be confirmed with the project manager of the training program or with our registration desk that can be reached at +1071 4 1075 5711 or [email protected].
What does the course fee cover?
The course fee covers a premium training experience in a 5-star hotel, learning materials, lunches & refreshments, and for some courses, the certification fee and membership with the accrediting bodies.
Does LEORON give discounts?
Yes, we can provide discounts for group bookings. If you would like to discuss a discount on a corporate level, we will be happy to talk to you.

Reviews

  • Review:
    Certified Professional in Quality and Patient Safety
    We have been working with LEORON for the past two years and will be working with them again this upcoming year. The programs they delivered were fruitful and exciting and our organization has received positive feedback from the participants. What our organization aims to do is to provide at no cost training for all the private sector employees so that they may benefit from our offered programs in Innovation and Professional development. Leoron has helped us achieve this goal. We look forward to continuing this service and wish them the best of luck. Regards,
    Nasser M. Al-Subaie
  • Review:
    Certified Professional in Quality and Patient Safety
    Since the partnership was signed between BAE Systems Saudi Development & Training and LEORON in 2017, we have been working together to offer the Saudi market a complete portfolio of training solutions benefiting from the wide and extensive experience of both parties. Recognizing the great success of this partnership, we are looking for further collaborations in the future that will position both companies as one of the leading training providers in Saudi Arabia. We thank the LEORON team for their full cooperation and continuing support, and look forward to further success together in the years to come.
    Emad Alrajih
  • Review:
    Certified Professional in Quality and Patient Safety
    Dating back to 2014, Mobily’s “LEORON” experience has grown from a single collaboration to a long-term partnership. We consider “LEORON” Institute as a strategic partner, whose contribution has been nothing but premium in equipping our staff with field-based knowledge and information. Past three years have resulted with an expanded collaboration with superior customer service and support. Best Regards,
    Turki S. Alsahaan
  • Review:
    IAMM Internal Audit Maturity Model
    In recognition of their dedication and contribution supporting IKEA Saudi Arabia in arranging training programs during 2017 & 2018, looking forward for more development and exciting effort this year. On behalf of IKEA Saudi Arabia, THANK YOU!
    Dalal Kutbi