AI+ Cloud Practitioner™
- From 505 EUR + VAT
- Self-paced online Start anytime
- Duration 40 hours of content, self-paced
- Language English
- Topic AI Cloud
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- 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
Prerequisites
Key concepts in both AI, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP
Audience
Who is it for
Cloud Professionals: Enhance your cloud management skills by integrating AI to optimize cloud performance, improve resource utilization.
Cloud Architects & Engineers: Learn to leverage AI to design scalable cloud infrastructures, automate cloud provisioning, and enhance security.
IT Infrastructure Managers: Use AI to optimize cloud deployment, automate system management, and improve cloud security and disaster recovery planning.
Business Leaders: Drive innovation in your organization by adopting AI in cloud technologies to enhance scalability, reduce costs, and optimize cloud solutions.
Students & Fresh Graduates: Gain a competitive edge in the cloud computing field by mastering AI tools and techniques that are revolutionizing cloud infrastructure.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Course Overview
Course Introduction Preview
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 Practitioner™ 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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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