Corporate Training

AI Multi Cloud Engineer

Design, Deploy and Manage Intelligent Multi-Cloud Platforms Using AI, Automation, Kubernetes, DevOps and Modern Cloud Engineering Practices

Course ID
AIMCE
Department
Cloud
Campus
1 Cornhill
Level
Certificate
Method
Lecture + Project + Internship
Duration
2 Weeks to 12 Months

Welcome to LSET’s AI Multi Cloud Engineer Course, designed to introduce learners to modern cloud engineering across AWS, Microsoft Azure and Google Cloud environments. Explore topics including multi-cloud infrastructure, Kubernetes, DevOps, automation, cloud security and AI-supported cloud operations through practical, hands-on learning.

Whether you are starting your cloud journey or expanding your technical knowledge, this course provides structured learning focused on modern cloud technologies and enterprise environments.

Apply now to explore AI Multi Cloud Engineering with LSET.

Are you looking for corporate training?
We tailor our courses to meet the specific needs of your team. If you would like to discuss your training requirements, please email admission@lset.uk today.		 Explore Now
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Course Description & Tuition Fees

How to choose an option that best aligns with your goals?

When considering LSET's course options, take into account various factors such as the duration of the program, the depth of content covered, and how each aligns with your career objectives.
  • Foundation Certificate: provides a quick but comprehensive introduction to technology, perfect for those with limited time or budget constraints.
  • Advanced Certificate: offers a deeper dive into foundational and advanced concepts, suitable for individuals passionate about expanding their knowledge and skills in technology.
  • Expert Certificate: is designed for ambitious learners committed to mastering their craft, offering intensive training and exclusive industry access over a longer period.

Evaluate each option based on how well it fits with your goals and aspirations within the tech industry

kindly use the tabs below to select your desired certificate type

FOUNDATION

ADVANCED

EXPERT

EXPERT PLUS

EXPERT STAR

EXPERT ELITE

FOUNDATION CERTIFICATE
Expertise Gained: ★ ★
LSET Foundation is a condensed and affordable program designed to ignite your skills in a shorter time frame. Perfect for busy individuals seeking a quick yet comprehensive introduction to the world of technology.
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 4 weeks
Teaching Hours: 8 hours
Practice Hours(Optional): 36 hours
Lab Hours: 8 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront: £400
Classroom Fees (Excl. of VAT)
Pay Upfront: £1,000
International Classroom
Pay Upfront: £1,400
ADVANCED CERTIFICATE
Expertise Gained: ★ ★ ★
LSET Advanced Certificate is your all-encompassing journey into the realms of technology, offering a 360-degree immersion into the world of technology and beyond. Dive deep, explore extensively, and emerge elevated.
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 8 weeks
Teaching Hours: 16 hours
Practice Hours(Optional): 80 hours
Lab Hours: 16 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £800
Pay Per Module:
Number of Modules: 4
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £2,000
Pay Per Module:
Number of Modules: 4
Per Module Fee: £625
International Classroom
Pay Upfront: £2,800
EXPERT CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
LSET Expert is the pinnacle of technical education for those committed to mastering their craft. Explore intricate technical concepts with industry experts, elevate your skills, expand your horizons, and unlock your full potential.
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 16 weeks
Teaching Hours: 32 hours
Practice Hours(Optional): 150 hours
Lab Hours: 32 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,600
Pay Per Module:
Number of Modules: 8
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £4,000
Pay Per Module:
Number of Modules: 8
Per Module Fee: £625
International Classroom
Pay Upfront: £5,600
EXPERT PLUS CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
(Expert + Project (Online) + LSET Sector Specialisation Add-On)
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 6 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £3,200
Pay Per Module:
Number of Modules: 16
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £8,000
Pay Per Module:
Number of Modules: 16
Per Module Fee: £625
International Classroom
Pay Upfront: £11,200
Career Accelerator Program
EXPERT STAR CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab)
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 13 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £7,480
Pay Per Module:
Number of Modules: 22
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £11,440
Pay Per Module:
Number of Modules: 22
Per Module Fee: £650
International Classroom
Pay Upfront: £15,400
Premium Career-Ready Track
EXPERT ELITE CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab + Pro Plan)
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 13 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £8,160
Pay Per Module:
Number of Modules: 24
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £12,480
Pay Per Module:
Number of Modules: 24
Per Module Fee: £650
International Classroom
Pay Upfront: £16,800
Enroll & Pay UpfrontEnroll & Pay Per Module
   Note: Please note that all prices listed are exclusive of VAT. VAT will be charged separately and added to the total amount payable.

Compare All Certificates

Course
Foundation
Advanced
Expert
Expert Plus
Expert Star
Expert Elite
Expertise
★
★★★
★★★★
★★★★★
★★★★★
★★★★★
Course Duration
3 weeks
8 weeks
16 weeks
6 months
13 months
13 months
Teaching Hours
6 hours
16 hours
32 hours
48 hours
104 hours
104 hours
Practice Hours
36 hours
80 hours
150 hours
288 hours
624 hours
624 hours
Lab Hours
6 hours
16 hours
32 hours
48 hours
104 hours
104 hours
Project
 
 
 
 
 
 
Paid Internship
 
 
 
 
 
 
Online
Pay Upfront Fees (with 20% Disc)
£400
£800
£1,600
£3,200
£7,480
£8,160
Pay Per Module Fees
 
No of Modules: 4
Per Module Fee: £250
No of Modules: 8
Per Module Fee: £250
No of Modules: 16
Per Module Fee: £250
No of Modules: 22
Per Module Fee: £425
No of Modules: 24
Per Module Fee: £425
Home (UK Residence) Classroom
Pay Upfront Fees (with 20% Disc)
£1,000
£2,000
£4,000
£8,000
£11,440
£12,480
Pay Per Module Fees
 
No of Modules: 4
Per Module Fee: £625
No of Modules: 8
Per Module Fee: £625
No of Modules: 16
Per Module Fee: £625
No of Modules: 22
Per Module Fee: £650
No of Modules: 24
Per Module Fee: £650
International
International Fees
£1,400
£2,800
£5,600
£11,400
£15,400
£16,800
Add-ons
Work Shadowing
Learn More
Optional
Optional
Optional
Optional
 
 
Pro Plan
Learn More
Optional
Optional
Optional
Optional
Optional
 
   Disclaimer: Our Industrial Training and Internship Program (part of Expert Star and Expert Elite) includes a guaranteed six-month paid internship with a technology company, offering work commitments ranging from ten (10) hours to forty (40) hours per week. We aim to provide at least ten (10) hours of work per week, but some companies may offer up to a maximum of 40 hours per month. The actual number of hours worked may exceed ten (10) hours per week, depending on the hiring company. We guarantee compensation at the national minimum wage; however, the hiring company may offer a higher wage at their discretion. We do not guarantee any compensation above the national minimum wage. Internship placements may be with our organisation or with one of our affiliated sister companies. We aim to place participants in a variety of companies, ranging from early-stage startups to established enterprises. However, we do not guarantee the type or size of the company for the internship placement. Due to visa restrictions, certain international students may be ineligible to participate in this program.
★ NEW LSET Work-Integrated Learning (LWIL) Program: Exclusive to International Students
6 Months of Learning and Interning (GAE Visa Route with Full Support Provided by JENZA who delivers the BUNAC sponsorship)
This program is exclusively designed for international students who are planning to come to the UK specifically to study with LSET. Visa sponsorship and compliance support for the GAE visa route will be provided by our official partner, JENZA / BUNAC. If you are already in the UK on a Student Visa and enrolled with a UK university, you may consider our standard certificate programs such as Foundation, Advanced, Expert, Expert Plus, Expert Star, or Expert Elite. You may be eligible to work based on the conditions of your current visa; please check with your university or visa sponsor to confirm whether you are allowed to work while studying.		 Learn More
Enhance Your Capstone with Real-World Industry Focus

LSET Sector Specialisation Add-On

This optional add-on lets students customise their capstone project based on their preferred industry. It’s designed to boost employability by giving practical experience and insight into specific high-growth sectors in the UK.

Available Specialisations:

  • Financial Services & FinTech
  • Technology & AI
  • Healthcare & Biotechnology
  • Film, Media & Entertainment
  • Legal & Professional Services
  • Real Estate & Construction
  • Tourism & Hospitality
  • Retail & E-commerce
  • Education & EdTech
  • Green Energy & Sustainability
  • Cybersecurity & Data Privacy
  • Logistics & Supply Chain

LSET PRO PLAN

Are you eager to enter the workforce fully prepared? Look no further than our LSET PRO PLAN! This is an add-on program that you can select during your course enrolment, it offers a personalised learning experience that helps you succeed in your course, build your technical portfolio, and advance your professional journey.
Curious about how to embark on this journey? Simply “click” here to learn more and kickstart your professional development with us!

LSET’s AI Multi Cloud Engineer Course provides an introduction to working with cloud technologies across multiple platforms, with a focus on cloud infrastructure, automation, DevOps, Kubernetes, cloud security and AI-supported cloud operations. The course combines theoretical understanding with practical activities to help learners explore modern multi-cloud environments used in enterprise settings. You will work with cloud deployment approaches, containerised applications, monitoring tools and automation practices across AWS, Microsoft Azure and Google Cloud environments.

Technologies & Tools Covered in This Course

Amazon Web Services (AWS) – Cloud platform used for infrastructure management, storage, networking, compute services and cloud deployment practices.

Microsoft Azure – Cloud environment used for virtual machines, identity management, cloud applications and enterprise cloud services.

Google Cloud Platform (GCP) – Cloud platform used for scalable infrastructure, cloud-native services and container-based deployments.

Kubernetes – Container orchestration platform used for managing, scaling and deploying containerised applications.

Docker – Containerisation technology used to package and run applications consistently across environments.

Terraform – Infrastructure as Code (IaC) tool used for provisioning and managing cloud resources through automation.

Jenkins & GitHub Actions – Automation and CI/CD tools used for cloud deployment workflows and DevOps pipelines.

Prometheus & Grafana – Monitoring and visualisation tools used for observing cloud infrastructure and application performance.

Linux Administration Tools – Command-line and server management tools commonly used in cloud engineering environments.

AI-Supported Cloud Operations Tools – Cloud monitoring and operational tools with AI-assisted analytics, automation and resource management features.

Complementary Workshops

Git Management

Learn More
Agile Project Management

Agile Project Management

Learn More

Team Building

Learn More

Personality Development

Learn More

Interview Preparation

Learn More

Course Information

Course Intakes

1st January

1st February

1st March

1st April

1st May

1st June

1st July

1st August

1st September

1st October

1st November

1st December

Entry Criteria

  • Basic understanding of computer systems or cloud technologies
  • Ability to complete assignments on time
  • Ability to work in Group
  • If a potential student’s first language is not English, they must also reach the English Language requirements of either any one of the following - IELTS 5.5 or NCC Test or GCE “O” Level English C6.
  • Have access to personal laptop

Course Highlights

  • Hands-on Sessions
  • Project-based Learning
  • Live or Offline Capstone Project
  • Real world development experience
  • Industry Mentors
  • Interactive Teaching Methodologies

Evaluation Criteria

  • 18 Coding exercises
  • 5 Assignments
  • 5 Quizzes
  • Capstone Project
  • Group activities
  • Presentations

Learning Objectives

  • Understand multi-cloud environments across AWS, Microsoft Azure and Google Cloud
  • Explore cloud infrastructure, networking and deployment concepts
  • Learn Kubernetes, containerisation and DevOps practices
  • Work with cloud automation and Infrastructure as Code tools
  • Understand cloud security, monitoring and operational practices
  • Explore AI-supported cloud operations and modern enterprise cloud environments

Weekday Batches

  • Batch 01Weekday Batches (09:00 AM – 10:00 AM)
  • Batch 02Weekday Batches (10:00 AM – 11:00 AM)
  • Batch 03Weekday Batches (11:00 AM – 12:00 PM)
  • Batch 04Weekday Batches (12:00 PM – 01:00 PM)
  • Batch 05Weekday Batches (01:00 PM – 02:00 PM)
  • Batch 06Weekday Batches (02:00 PM – 03:00 PM)
  • Batch 07Weekday Batches (03:00 PM – 04:00 PM)
  • Batch 08Weekday Batches (04:00 PM – 05:00 PM)
  • Batch 09Weekday Batches (05:00 PM – 06:00 PM)
  • Batch 10Weekday Batches (06:00 PM – 07:00 PM)
  • Batch 11Weekday Batches (07:00 PM – 08:00 PM)

Weekend Batches

  • Batch 01Weekend Batches (08:00 AM – 09:00 AM)
  • Batch 02Weekend Batches (09:00 AM – 10:00 AM)
  • Batch 03Weekend Batches (10:00 AM – 11:00 AM)
  • Batch 04Weekend Batches (11:00 AM – 12:00 PM)
  • Batch 05Weekend Batches (05:00 PM – 06:00 PM)
  • Batch 06Weekend Batches (06:00 PM – 07:00 PM)

Hands-on Workshops

Interview Preparation

CV Preparation

Personality Development

LARRY

Join the AI Multi Cloud Engineer Course to explore multi-cloud infrastructure, automation, Kubernetes and cloud operations across AWS, Microsoft Azure and Google Cloud through practical, hands-on learning.

Enroll & Pay UpfrontEnroll & Pay Per Module

Course Content

Browse the LSET interactive and practical curriculum

Module 1: Introduction to Cloud Computing & Multi-Cloud Fundamentals

  • Introduction to Cloud Computing
  • Cloud Service Models (IaaS, PaaS, SaaS)
  • Public, Private & Hybrid Cloud
  • Introduction to Multi-Cloud Architecture
  • Cloud Networking Fundamentals
  • Linux Fundamentals for Cloud Engineers
  • Virtual Machines & Cloud Storage
  • Identity & Access Management Basics
  • Introduction to AI in Cloud Operations

Module 2: AWS, Microsoft Azure & Google Cloud Fundamentals

  • Introduction to AWS Services
  • Introduction to Microsoft Azure Services
  • Introduction to Google Cloud Platform (GCP)
  • Compute, Storage & Networking Services
  • Cloud Resource Management
  • Cloud Billing & Cost Awareness
  • Cloud Deployment Fundamentals
  • Multi-Cloud Environment Setup
  • Managing Users & Permissions Across Platforms

Module 3: Containerisation, Kubernetes & Cloud Infrastructure

  • Introduction to Docker
  • Containerisation Concepts
  • Creating & Managing Containers
  • Kubernetes Fundamentals
  • Kubernetes Architecture & Components
  • Pods, Deployments & Services
  • Helm & Kubernetes Package Management
  • Container Networking & Storage
  • Multi-Cloud Kubernetes Deployments

Module 4: DevOps, Automation & Infrastructure as Code

  • Introduction to DevOps Practices
  • CI/CD Pipeline Fundamentals
  • Git & GitHub Workflows
  • Jenkins & GitHub Actions
  • Infrastructure as Code (IaC) Concepts
  • Terraform Fundamentals
  • Cloud Infrastructure Automation
  • Configuration Management Basics
  • Automated Cloud Deployments

Module 5: Cloud Security, Monitoring & Reliability

  • Cloud Security Fundamentals
  • Identity & Access Management (IAM)
  • Cloud Governance & Compliance Basics
  • Monitoring Cloud Infrastructure
  • Prometheus & Grafana Fundamentals
  • Logging & Alerting Systems
  • Backup & Disaster Recovery Concepts
  • Cloud Reliability & Availability
  • AI-Supported Monitoring & Operations

Module 6: Advanced Multi-Cloud Operations & AI Cloud Management

  • Multi-Cloud Strategy & Architecture
  • Cloud Migration Fundamentals
  • Hybrid Cloud Concepts
  • Cloud Cost Optimisation Basics
  • AI-Supported Cloud Operations (AIOps)
  • Resource Scaling & Performance Management
  • Cloud Automation Workflows
  • Enterprise Cloud Operations
  • Modern Trends in AI & Cloud Engineering

*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.

Note: Students are responsible for obtaining and maintaining any required software subscriptions, licenses, or tools needed for this course. These costs are not included in the course fees.

Having Doubts?

Contact LSET Counsellor

We love to answer questions, empower students, and motivate professionals. Feel free to fill the form and clear up your doubts related to our AI Multi Cloud Engineer course.

Best Career Paths

AI Multi Cloud Engineer

Work with cloud infrastructure and services across multiple cloud platforms.

Cloud DevOps Engineer

Manage automation, CI/CD pipelines and cloud deployment workflows.

MLOps Engineer

Support machine learning model deployment and cloud-based AI operations.

Cloud Security Engineer

Focus on securing cloud environments, systems and cloud-native applications.

Containerization & Kubernetes Engineer

Manage container platforms and Kubernetes-based infrastructure.

Cloud Solutions Architect

Design and plan scalable cloud environments for enterprise applications.

Faculties & Mentors

Mayur Ramgir

Mayur Ramgir

View Profile

Mentor Panel

Otavio Santana LSET Mentor

Otavio Santana

View Profile

Why Learn AI Multi Cloud Engineer?

  • Growing Cloud Adoption - Organisations are increasingly using multiple cloud platforms for flexibility and scalability.
  • Industry Demand - Multi-cloud and cloud automation skills are widely used across modern IT environments.
  • Modern Infrastructure Skills - Learn cloud operations, automation, Kubernetes and DevOps practices.
  • AI-Supported Operations - Explore AI-assisted monitoring, analytics and cloud management approaches.
  • Cross-Platform Experience - Work with AWS, Microsoft Azure and Google Cloud technologies.
  • Career Development - Build practical cloud engineering knowledge used in enterprise environments.

Who Should Apply for this course?

  • Cloud & IT Professionals - Looking to expand their understanding of multi-cloud environments.
  • DevOps Engineers - Interested in cloud automation and infrastructure management.
  • System & Network Administrators - Exploring cloud-native technologies and operations.
  • Software Developers - Wanting exposure to cloud deployment and container platforms.
  • Cybersecurity & Infrastructure Teams - Interested in cloud operations and monitoring practices.
  • Learners & Career Changers - Interested in modern cloud engineering technologies.

About the Course

This practical and interactive course introduces learners to modern multi-cloud environments, cloud infrastructure, Kubernetes, automation, DevOps practices and AI-supported cloud operations. The curriculum combines foundational cloud concepts with hands-on activities designed to explore enterprise cloud technologies across AWS, Microsoft Azure and Google Cloud platforms.

The Course Provides Shared Expertise by

LSET Trainers

LSET Trainers

Industry Expert

Industry Expert

Top Employers

Top Employers

Skills You will Gain

  • Multi-Cloud Computing
  • Cloud Infrastructure
  • AWS Fundamentals
  • Microsoft Azure Administration
  • Google Cloud Platform (GCP)
  • Kubernetes Management
  • Docker & Containerisation
  • DevOps Practices
  • CI/CD Pipelines
  • Cloud Networking
  • Linux Administration
  • Infrastructure Automation

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.
  • We constantly update the curriculum to include the latest releases and features.
  • We focus on teaching the industry's best practices and standards.
  • We let you explore the topics through guided hands-on sessions.
  • We provide industry professional mentor support to every student.
  • We give you an opportunity to work on real world examples.
  • Work with hands-on projects and assignments.
  • We help you build a technical portfolio that you can present to prospective employers.

Reasons to Choose LSET

  • Interactive live sessions by industry expert.
  • Practical classes with project-based learning with hands-on activities.
  • International learning platform to promote collaboration and teamwork.
  • Most up-to-date course curriculum based on current industry demand.
  • Gain access to various e-learning resources.
  • One-to-one attention to ensure maximum participation in the classes.
  • Lifetime career guidance to get the students employed in good companies.
  • Free lifetime membership to the LSET Alumni Club

What Will Be Your Responsibilities?

  • Work creatively in a problem-solving environment.
  • Ask questions and participate in class discussions.
  • Work on assignments and quizzes promptly.
  • Read additional resources on the course topics and ask questions in class.
  • Actively participate in team projects and presentations.
  • Work with the career development department to prepare for interviews
  • Respond promptly to the instructors, student service officers, career development officers, etc.
  • And most importantly, have fun while learning at LSET.
What Will Be Your Responsibilities
Benefits of LSET Certificate

What to expect after completing the course?

After earning your certificate from LSET, you can join the LSET’s Alumni club. There are countless benefits associated with the Alumni Club membership. As a member of LSET Alumni, you can expect the following;
  • LSET to hold your hand to find a successful career
  • Advice you on choosing the right job based on your passion and goals
  • Connect you with industry expert for career progression
  • Provide you opportunities to participate in events to keep yourself updated
  • Provide you with a chance to contribute to the game-changing open-source projects
  • Provide you with a platform to shine by allowing you to speak at our events

TOOLS & TECHNOLOGIES YOU WILL LEARN FROM THIS COURSE

Jenkins

Jenkins

Docker

Docker

Kubernetes

Kubernetes

Azure Portal

Microsoft Azure

AWS

AWS

Register Now!

Start Your Journey into AI Multi Cloud Engineering

LSET provides a practical learning environment to explore modern cloud technologies, multi-cloud infrastructure, automation and cloud operations across AWS, Microsoft Azure and Google Cloud platforms.

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