AI+ Cloud™ - eLearning (exam included)
448,00 EUR
- 40 hours
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.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
TensorFlow, SHAP, Amazon S3, AWS SageMaker
About the course
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.
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.
Why This Certification Matters
Learn to use AI tools to optimize operations, improve strategic planning, and enhance organizational performance.
Learning Outcomes
At the end of this course, you will be able to:
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.
Course timeline
Fundamentals of Artificial Intelligence (AI) and Cloud
Lesson 1
- 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
Introduction to Artificial Intelligence
Lesson 2
- 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
Fundamentals of Cloud Computing
Lesson 3
- 3.1 Cloud Service Models
- 3.2 Cloud Deployment Models
- 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
AI Services in the Cloud
Lesson 4
- 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
AI Model Development in the Cloud
Lesson 5
- 5.1 Building and Training Machine Learning Models
- 5.2 Model Optimization and Evaluation
- 5.3 Collaborative AI Development in a Cloud Environment
Cloud Infrastructure for AI
Lesson 6
- 6.1 Setting Up and Configuring Cloud Resources
- 6.2 Scalability and Performance Considerations
- 6.3 Data Storage and Management in the Cloud
Deployment and Integration
Lesson 7
- 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
Future Trends in AI+ Cloud Integration
Lesson 8
- 8.1 Introduction to Future Trends
- 8.2 AI Trends Impacting Cloud Integration
Capstone Project
Lesson 9
- 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
AI Agents for Cloud Computing
Optional Module
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Who Should Enroll in this Program?
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.
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.
More Details
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
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.
Frequently Asked Questions
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