Advanced Certificate in DevOps and Machine Learning

Name: Advanced Certificate in DevOps and Machine Learning
Availability: InStock

-- viendo ahora

The Advanced Certificate in DevOps and Machine Learning is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving tech industry. This course integrates the principles of DevOps and Machine Learning, two critical areas that are shaping the future of technology and business.

4,0

Based on 6.448 reviews

3.207+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

Acerca de este curso

In today's digital age, organizations are seeking professionals who can bridge the gap between development and operations, while also leveraging machine learning algorithms to drive data-driven decision-making. This course is designed to meet this demand, providing learners with a deep understanding of continuous integration, continuous delivery, infrastructure as code, and machine learning techniques. By completing this course, learners will gain a competitive edge in the job market, demonstrating their ability to streamline development processes, improve software quality, and leverage machine learning to drive business value. With a focus on practical skills and real-world applications, this course is an ideal choice for anyone looking to advance their career in DevOps and Machine Learning.

HundredPercentOnline

LearnFromAnywhere

ShareableCertificate

AddToLinkedIn

TwoMonthsToComplete

AtTwoThreeHoursAWeek

StartAnytime

Sin período de espera

Detalles del Curso

• Fundamentals of DevOps: Introduction to DevOps, DevOps culture and practices, DevOps lifecycle, DevOps tools and technologies
• Continuous Integration and Continuous Delivery (CI/CD): Understanding CI/CD, setting up CI/CD pipelines, automating builds and deployments
• Infrastructure as Code (IaC): Introduction to IaC, IaC tools and technologies, creating and managing infrastructure with code
• Containerization and Orchestration: Understanding containerization, Docker and Kubernetes, container orchestration
• Cloud Platforms and Services: Overview of cloud computing, cloud platforms (AWS, Azure, GCP), cloud services (S3, EC2, GKE)
• Monitoring and Logging: Understanding monitoring and logging, monitoring tools (Nagios, Prometheus), logging best practices
• Security in DevOps: Introduction to DevSecOps, security best practices, secrets management, compliance and governance
• Machine Learning Fundamentals: Introduction to machine learning, supervised and unsupervised learning, regression and classification algorithms
• Machine Learning Tools and Libraries: Overview of machine learning tools and libraries (scikit-learn, TensorFlow, PyTorch), data preprocessing and feature engineering
• DevOps for Machine Learning: Integrating DevOps practices in machine learning, MLOps, version control for machine learning models

Trayectoria Profesional

The Advanced Certificate in DevOps and Machine Learning is a cutting-edge program that equips learners with in-demand skills for the UK job market. This section features a 3D pie chart that highlights the market trends of the following roles: 1. **DevOps Engineer**: This role is responsible for streamlining the software development and deployment process using DevOps practices and tools. 2. **Machine Learning Engineer**: Machine Learning Engineers focus on creating, implementing, and maintaining machine learning models and algorithms. 3. **Data Scientist**: Data Scientists analyze and interpret complex data sets to derive valuable insights, enabling data-driven decision-making. 4. **DevOps Manager**: DevOps Managers lead teams and oversee the successful implementation of DevOps strategies and practices within organizations. Our 3D pie chart showcases the percentage of relevance for each of these roles in the current job market, giving you a clear idea of which career path to pursue. With a transparent background and responsive design, this visually engaging chart helps you make informed decisions about your future in DevOps and Machine Learning.

Requisitos de Entrada

Comprensión básica de la materia
Competencia en idioma inglés
Acceso a computadora e internet
Habilidades básicas de computadora
Dedicación para completar el curso

No se requieren calificaciones formales previas. El curso está diseñado para la accesibilidad.

Estado del Curso

Este curso proporciona conocimientos y habilidades prácticas para el desarrollo profesional. Es:

No acreditado por un organismo reconocido
No regulado por una institución autorizada
Complementario a las calificaciones formales

Recibirás un certificado de finalización al completar exitosamente el curso.

Por qué la gente nos elige para su carrera

Cargando reseñas...

Preguntas Frecuentes

¿Qué hace que este curso sea único en comparación con otros?

▼

¿Cuánto tiempo toma completar el curso?

▼

WhatSupportWillIReceive

▼

IsCertificateRecognized

▼

WhatCareerOpportunities

▼

¿Cuándo puedo comenzar el curso?

▼

¿Cuál es el formato del curso y el enfoque de aprendizaje?

▼

Tarifa del curso

MÁS POPULAR

Vía Rápida: GBP £140

Completa en 1 mes

Ruta de Aprendizaje Acelerada

3-4 horas por semana
Entrega temprana del certificado
Inscripción abierta - comienza cuando quieras

Start Now

Modo Estándar: GBP £90

Completa en 2 meses

Ritmo de Aprendizaje Flexible

2-3 horas por semana
Entrega regular del certificado
Inscripción abierta - comienza cuando quieras

Start Now

Lo que está incluido en ambos planes:

Acceso completo al curso
Certificado digital
Materiales del curso

Precio Todo Incluido • Sin tarifas ocultas o costos adicionales

Obtener información del curso

Pagar como empresa

Solicita una factura para que tu empresa pague este curso.

Pagar por Factura

Obtener un certificado de carrera

ADVANCED CERTIFICATE IN DEVOPS AND MACHINE LEARNING

se otorga a

Nombre del Aprendiz

quien ha completado un programa en

London School of International Business (LSIB)

Otorgado el

05 May 2025

ID de Blockchain: s-1-a-2-m-3-p-4-l-5-e

Agrega esta credencial a tu perfil de LinkedIn, currículum o CV. Compártela en redes sociales y en tu revisión de desempeño.