AI+ Cloud Practitioner™

Ártól 200 000 Ft + Áfa
Önálló online Azonnal kezdhető
Időtartam 40 óra tananyag, önálló tempóban
Nyelv angol
Terület AI Cloud

Kinek szól
Mit tartalmaz az ár
Tematika
A vizsgáról

Áttekintés

Miről szól a képzés

A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.

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

Előfeltételek

Key concepts in both AI, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP

Célcsoport

Kinek szól

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.

Az árban

Mit tartalmaz az ár

Önálló tempójú online kurzus, a teljes tananyaggal
A hivatalos AI CERTs® vizsga
Digitális badge a sikeres vizsga után

Tananyag

Tematika

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

Vizsga

A vizsgáról

50 Kérdés
90 perc Időkeret
70% Ponthatár

Online proctored exam

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