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DevOps Engineer

  • 140+ hours of instructor-led training
  • Access to official IBM self-learning content
  • Access capstone projects in 3 domains
  • Participate in live virtual classes led by industry experts, hands-on projects, and integrated labs
  • Get access to Google Cloud Hands-on Labs
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Data Analyst Course Singapore

Accredited By

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Course Overview

Kickstart your DevOps journey with our comprehensive DevOps Engineer Certification Course. This course equips you with the essential skills to thrive in today’s fast-paced tech environment. Through the DevOps Engineer training, you’ll gain expertise in core DevOps and DevSecOps principles, focusing on collaboration, automation, continuous integration, and seamless deployment.

Key Features

JobAssist Program

Gain visibility among top hiring companies with BELLS’ JobAssist

Master’s Certification

Earn an industry-recognized Data Analyst Master’s certificate from BELLS

Expert-Led Sessions

Participate in live sessions conducted by seasoned industry professionals

IBM Masterclasses

Learn directly from IBM experts through exclusive sessions

IBM Certifications

Receive recognized IBM certifications for IBM-led courses

Gain in-depth Knowledge

Understand and use linear and non-linear regression models and gain expertise in mathematical computing using the NumPy and Scikit-Learn package

Capstone & Projects

Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave

Hands-on Learning

Analyze data using Tableau and become proficient in building interactive dashboards. Gain practical mastery over principles, algorithms, and applications of machine learning

Lifetime Learning Access

Enjoy lifetime access to self-paced learning content

Career-Focused Curriculum

Designed to kick-start your journey as a successful Data Scientist

Skills Covered

  • DevOps methodology
  • Continuous integration
  • Configuration management
  • Containerization
  • Azure DevOps

Training options

Online Bootcamp

.
  • Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.
  • Live online training from Microsoft-certified trainers
  • 24x7 learner assistance and support
Preferred

Corporate Training

Upskill or reskill your teams
  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Course, category, and all-access pricing
  • Enterprise-class learning management system (LMS)
  • Enhanced reporting for individuals and teams
  • 24x7 teaching assistance and support

Eligibility

The online Microsoft Certified Azure AI Engineer Associate course is designed for experienced programmers aiming to build AI-powered applications using Azure services. Participants are expected to have knowledge of Python or C#, REST API principles, JSON, and Azure service solutions.

Pre-requisites

Familiarity with the Microsoft Azure portal and services, along with proficiency in programming languages such as Python or C#, is recommended for enrolling in this program. A solid understanding of REST APIs and JSON, combined with a willingness to explore Azure Cognitive Services, will enable you to excel in this course more efficiently.

Learning Path

Step 1

DevOps Foundations: Version Control and CI/CD with Jenkins

Step 2

Configuration Management with Ansible and Terraform

Step 3

Containerization with Docker

Step 4

Container Orchestration with Kubernetes

Step 5

Monitoring and Logging in DevOps

Step 6

DevOps Capstone Project

Elective

Linux Training

Elective

A Walkthrough of DevOps using Google Cloud

Elective

Microsoft Certified DevOps Engineer – AZ 400

Elective

Docker with IBM

Elective

Kubernetes with IBM

Elective

IBM: Microservices and Serverless for Application Developers

Elective

AWS Cloud Technical Essentials

Elective

EC: AWS Developer Associate

Elective

Puppet Training Course

Elective

Agile Scrum Master

Elective

DevOps on AWS

Exam & Certification

What benefits do learners receive from Microsoft Azure by attending the course ?

  • Learners receive a course completion badge/certificate on the Microsoft Learn portal.
  • Access to official Microsoft handbooks aligned to the AI-102 examination.

What is required to earn the Azure AI Engineer Associate certification?

To earn the certification, learners must pass the AI-102: Azure AI Engineer Associate exam.

Does this new exam and certification replace any existing Azure exams?

Yes, AI-102 replaces the AI-100 exam, which expired on June 30, 2021.

Do you provide any practice tests as part of this AI-102 course?

Yes, practice tests are included to help students prepare for the AI-102 exam, simulating the types of questions they will encounter.

When will the old Azure certification competencies expire, and when will the new requirements become valid?

The new AI-102 format went live in February 2021. Review the change log before taking the exam.

Is the exam fee included in the course fee?

No, the exam fee is not included in the course fee.

How much does the Microsoft Azure AI Engineer certification exam cost?

The exam costs $165 plus applicable taxes. This fee is paid to Microsoft during registration.

Do you assist in the exam application process?

Yes, the Help and Support team can assist with the application process.

How can I pass the Microsoft AI Engineer exams on my first attempt?

This AI-102 course equips you with the necessary skills and knowledge to complete projects and prepare thoroughly for the AI-102 exam. While success on the first attempt is not guaranteed, learners will be well-prepared for the exam.

FAQs

What are the tools taught?

Tools Covered:

    • Maven
    • Ansible
    • GitHub
    • Terraform
    • Promtheus
    • Docker
    • Kubernetes
    • Grafana
    • Jenkins
    • Kibana
    • AWS CodePipeline
    • AWS CodeCommit
What are the learning outcomes?
  • Understand DevOps principles: Gain insight into DevOps concepts, benefits, and challenges. 
  • Master version control and CI/CD: Learn to use Jenkins and GitHub Actions for automated software delivery. 
  • Gain configuration management and IaC skills: Become proficient in managing infrastructure with Ansible and Terraform. 
  • Become proficient in Docker containerization: Simplify the development, deployment, and scaling by packaging applications and their dependencies into lightweight, portable containers across various platforms. 
  • Gain expertise in Kubernetes orchestration: Learn about implementation, deployment, scaling, and security strategies with Kubernetes. 
  • Master monitoring and logging practices: Gain skills in monitoring with Prometheus, Grafana, Kibana, and ELK stack. 
  • Learn about DevOps on cloud platforms: Expand your knowledge of major cloud platform providers: Amazon Web Services (AWS) and Microsoft Azure.
Who are the instructors for this course, and how are they selected?

Our trainers are industry experts with years of experience. Each trainer undergoes rigorous screening, including technical evaluations and teaching demos, to ensure quality. Only instructors with consistently high alumni ratings remain on our teaching faculty.

How do I enroll for the Course?

The enrollment process involves three steps:

  1. Submit an application detailing your motivation for the course.
  2. An admissions panel reviews applications and shortlists candidates.
  3. Selected candidates begin the course within 1-2 weeks upon fee payment.
What are the prerequisites for this course?

Learners need to have a high school diploma or an undergraduate degree. Basic understanding of web development, Linux and Java programming, and technical background are preferred. Also, learners should be familiar with cloud platforms like AWS and Microsoft Azure.

Who can join this course?
  • New graduates who wish to take the plunge into the DevOps job market.
  • Professionals with less than two years of experience who are working in either non-technical or technical job roles and who wish to build successful careers in the cloud computing field.
  • Individuals working in the following roles will benefit the most from the DevOps:
  • IT Team Leaders 
  • Software Developers 
  • Systems Administrators and IT Managers 
  • Cloud Engineers 
  • Developers 
  • Engineers
Does BELLS offer corporate training solutions?
Yes, we collaborate with companies of all sizes to provide training in digital skills and certifications.

Training provided in partnership with Simplilearn

Request for a callback

Our team will reach out to you within 1-2 working day(s).

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Hear What Our Learners Say

Experience top-notch learning with BELLS – Singapore’s finest!

Rachel Tan Wen Yen

DTF (June 2023)
The 4-Day Digital Transformation workshop at BELLS Institute was an eye-opener, especially in applying AI apps to enhance work skills. Kelvin Lee accommodated diverse learning paces.

Loh Jia Jia

SMM AI (November 2023)
Mr. Keith, our AI-driven social media marketing trainer, has revolutionized our approach by blending AI with social media strategy through his expertise and hands-on guidance.

Tan Siew Fong

NLP (March 2023)
Trainer Ms. Sylvia is very good and experienced in sharing theories and getting participants excited. Darren is always ready to support queries.

Quek Chun Ming

WIX (May 2023)
From zero to hero, I’ve learned how to create my first website in just 3 weeks. Basic IT knowledge is important for the weekly assignments.

Low Siew Yong

PPV (August 2024)
The trainer is an excellent tutor, able to coach and motivate learners to gain interest in this videography course. He is very professional in teaching and sharing knowledge.

Valliappan Ramasamy

RPA (April 2023)
A very useful technology to learn – how to reduce repetitive, error-prone manual tasks and automate the integration of applications quickly and easily.
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Get In Touch With BELLS

Our team will reach out to you within 1 – 2 working day(s).

HQ Address

2 Leng Kee Road, Thye Hong Centre #04-06/07/08, Singapore 159086

Phone

+65 64733936
(Mon-Fri, 9am-6pm)
(for Customer Service)

Email

enquiries@bells.sg
courses@bells.sg

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Programme Partner for CET Programmes (Infocomm Tech Sector)

PEI Registration No.: 200810205H

Period of Registration:
18 Mar ’23 – 17 Mar ’25

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