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AI+ Cloud Practitioner™

Kód kurzu: NPAT110

Tato část není lokalizována

Formerly known as AI+ Cloud™

Transform Cloud Computing with Cutting-Edge AI integration

  • Cloud-AI Integration: Develop the skills to embed AI capabilities into scalable cloud infrastructures
  • Advanced Infrastructure: Build expertise in CI/CD pipelines, cloud-based AI models, and deployment strategies
  • Capstone Project: Apply knowledge through hands-on, real-world project experience
  • Future-Ready Skills: Equip yourself to drive and lead AI-powered innovation across cloud environments
1 830 Kč

2 214 Kč s DPH

Výběr termínů
onas
Máte dotaz?
+420 731 175 867 edu@edutrainings.cz

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Zobrazit soft skills kurzy

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 30 hodin

Jazyk: en

Cena bez DPH: 6 950 Kč

Registrovat

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 30 hodin

Jazyk: en

Cena bez DPH: 1 830 Kč

Registrovat

Počáteční
datum		 Místo
konání		 Forma Délka
kurzu		 Jazyk Cena bez DPH
G Na vyžádání Self-paced 30 hodin en 6 950 Kč Registrovat
G Na vyžádání Self-paced 30 hodin en 1 830 Kč Registrovat
G Garantovaný kurz

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Popis kurzu

Tato část není lokalizována

AI Model Development

Students learn to construct, train, and optimize machine learning models utilizing cloud-based tools and services. This involves learning to choose methods, preprocess data, and optimize models.

Mastering cloud AI model deployment

Learners will master cloud AI model deployment and integration into existing systems and workflows. Learn deployment pipelines, version control, and CI/CD procedures to seamlessly integrate AI solutions into production environments.

Problem-Solving in AI and Cloud

You will learn to apply AI and cloud computing concepts to real-world problems, enhancing their problem-solving skills.

Optimization Techniques

Emphasizing AI model development and cloud deployment, learners will learn to optimize AI models and processes for performance, scalability, and cost.

Struktura kurzu

Tato část není lokalizována

Course Overview

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

Předpokládané znalosti

Tato část není lokalizována

  • A foundational grasp of core concepts across both artificial intelligence and cloud computing
  • Basic computer science knowledge, including programming fundamentals, data structures, and algorithms
  • Working familiarity with major cloud platforms such as AWS, Azure, or GCP
  • An understanding of foundational mathematics relevant to machine learning, which forms a central part of the AI+ Cloud™ program

Potřebujete poradit nebo upravit kurz na míru?

onas

produktová podpora

+420 731 175 867

edu@edutrainings.cz

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