AI+ Cloud™ - eLearning (exam included)

AI+ Cloud™ - eLearning (exam included)

Secure Digital Environments: Leverage AI-Powered Technologies

The AI+ Cloud Certification is designed for developers and IT professionals aiming to integrate Artificial Intelligence (AI) with cloud computing. As organizations increasingly rely on cloud technologies for scalability and efficiency, experts capable of seamlessly embedding AI into cloud systems are highly sought after. This certification covers advanced cloud infrastructure, AI model deployment, and cloud-based AI applications, equipping learners to innovate and excel in their organizations.

The program explores Machine Learning (ML) and cloud service models from AWS, Azure, and Google Cloud, offering hands-on projects to prepare you for the fast-paced IT landscape. You will gain mastery of AI concepts, including ML techniques and Python programming for AI. Practical skills are developed through creating virtual machines, integrating AI services, and building ML models on leading cloud platforms.

Through an interactive capstone project, participants design and implement cloud-based AI solutions. Achieving the AI+ Cloud™ certification positions you as a leader in AI-cloud integration, enabling you to leverage advanced technology to optimize business operations and drive organizational growth.

Revolutionize Cloud Computing with Advanced AI Integration

• Cloud-AI Synergy: Discover how to embed AI into dynamic and scalable cloud systems.
• Next-Level Infrastructure: Develop expertise in CI/CD pipelines, cloud-based AI models, and efficient deployment methods.
• Practical Capstone Project: Apply your skills through hands-on, real-world implementation.
• Future-Proof Expertise: Equip yourself to spearhead AI-driven cloud innovation.

Why This Certification Matters

• Leverage AI for Smarter Leadership: Learn to use AI tools to optimize operations, improve strategic planning, and enhance organizational performance.

• Drive AI Integration Across the Organization: Apply AI to accelerate adoption of AI-driven solutions and automate key processes.

• Stay at the Forefront of AI Innovation: Gain advanced AI expertise that positions you to lead AI initiatives as demand for AI leadership grows.

• Enhance Strategic Decision-Making with AI Analytics: Master AI models to analyze data, forecast outcomes, and make informed, real-time business decisions.

• Advance Your Career in AI Leadership: Equip yourself with the skills needed to lead AI strategies and initiatives in an AI-driven business landscape

Industry Growth: Expanding AI-Powered Cloud Solutions

• The global AI in cloud computing market is projected to grow at a CAGR of 35.2% from 2021 to 2028 (Source: Grand View Research).
• AI-enabled cloud tools are transforming sectors like finance, healthcare, and retail by automating data processing and improving resource management.
• Businesses increasingly adopt AI for predictive analytics, automation, and enhanced cloud security.
• AI-driven cloud automation boosts operational efficiency, optimizes resource use, and lowers costs for scaling businesses.
• AI is reshaping SaaS, PaaS, and IaaS industries by enhancing service delivery and data security.

Key Features

• Course and material in English 
• Intermediate level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master: TensorFlow, SHAP, Amazon S3, AWS SageMaker

Learning Outcomes

• AI Model Development: Develop, train, and fine-tune machine learning models in cloud environments, including data preprocessing and model selection.
• AI & Cloud Problem-Solving: Apply AI tools to tackle complex cloud infrastructure challenges, boosting productivity and efficiency.
• Cloud AI Deployment: Learn advanced AI deployment workflows, including CI/CD pipelines and version control, for smooth implementation.
• Optimization Techniques: Optimize AI models for better performance, scalability, and cost-efficiency in cloud systems.

Target Audience

• Cloud Professionals: Optimize cloud performance and resource management with AI.
• Cloud Architects & Engineers: Design scalable, automated, and secure cloud infrastructures using AI.
• IT Infrastructure Managers: Enhance cloud deployment, automation, and security strategies with AI.
• Business Leaders: Drive innovation and cost-effective AI-powered cloud solutions.
• Students & Graduates: Gain a competitive edge by mastering AI in cloud computing.

Prerequisites

• Basic knowledge of core concepts in artificial intelligence and cloud computing.
• Understanding of computer science fundamentals, including programming, data structures, and algorithms.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Basic mathematical skills essential for machine learning, a key component of the AI+ Cloud™ program.

Exam Details

• Duration: 90 minutes
• Passing :70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)
• Language: English

Course Content

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

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements. 

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

FAQ

How is the course structured?
This program blends theoretical concepts with practical applications, concluding with a hands-on capstone project to ensure both deep understanding and real-world experience.

Who should enroll in this certification?
Designed for developers, IT professionals, and individuals with basic AI and cloud computing knowledge who want to enhance their ability to integrate AI into platforms like AWS, Azure, or Google Cloud.

What practical skills will I gain from this course?
You will learn to create, deploy, and manage AI models on top cloud platforms, optimize performance, strengthen security, meet compliance requirements, and solve real-world problems using AI-cloud solutions.

How does this certification benefit my career?
It strengthens your professional profile by proving expertise in AI-cloud integration, equipping you with high-demand skills that offer a competitive edge and access to better career opportunities.

What kind of projects will I work on during the course?
You will complete a capstone project that mirrors real industry challenges, applying your skills to design and implement AI solutions within cloud environments.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.