Corporate Training

AI Cloud Engineering Specialist

Learn AI-powered cloud technologies with LSET’s industry experts

Course ID
AICE
Department
Artificial Intelligence
Campus
1 Cornhill
Level
Certificate
Method
Lecture + Project + Internship
Duration
Full Time (06 Months) & Part Time (12 Months)

Welcome to LSET’s AI-Powered Cloud Engineering Course, designed to equip you with in-demand skills at the intersection of cloud computing and artificial intelligence. Explore a comprehensive curriculum covering everything from cloud fundamentals and AI deployment to MLOps and smart automation. Whether you’re a software engineer, cloud developer, or aspiring AI professional, this hands-on course will empower you to build, scale, and manage intelligent services in the cloud. Join us and become a leader in AI-driven cloud innovation!

Apply now to become a certified AI-Powered Cloud Engineering Professional

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: 2 weeks
Teaching Hours: 4 hours
Practice Hours(Optional): 24 hours
Lab Hours: 4 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront: £200
Classroom Fees (Excl. of VAT)
Pay Upfront: £500
International Classroom
Pay Upfront: £700
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: 6 weeks
Teaching Hours: 12 hours
Practice Hours(Optional): 60 hours
Lab Hours: 12 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £600
Pay Per Module:
Number of Modules: 3
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,500
Pay Per Module:
Number of Modules: 3
Per Module Fee: £625
International Classroom
Pay Upfront: £2,100
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: 12 weeks
Teaching Hours: 24 hours
Practice Hours(Optional): 120 hours
Lab Hours: 24 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,200
Pay Per Module:
Number of Modules: 6
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £3,000
Pay Per Module:
Number of Modules: 6
Per Module Fee: £625
International Classroom
Pay Upfront: £4,200
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: 5 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £2,400
Pay Per Module:
Number of Modules: 12
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £6,000
Pay Per Module:
Number of Modules: 12
Per Module Fee: £625
International Classroom
Pay Upfront: £8,400
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: 12 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £6,120
Pay Per Module:
Number of Modules: 18
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £9,360
Pay Per Module:
Number of Modules: 18
Per Module Fee: £650
International Classroom
Pay Upfront: £12,600
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: 12 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £6,800
Pay Per Module:
Number of Modules: 20
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £10,400
Pay Per Module:
Number of Modules: 20
Per Module Fee: £650
International Classroom
Pay Upfront: £14,000
   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
2 weeks
6 weeks
12 weeks
5 months
12 months
12 months
Teaching Hours
4 hours
12 hours
24 hours
40 hours
96 hours
96 hours
Practice Hours
24 hours
72 hours
144 hours
240 hours
576 hours
576 hours
Lab Hours
4 hours
12 hours
24 hours
40 hours
96 hours
96 hours
Project
Paid Internship
Online
Pay Upfront Fees (with 20% Disc)
£200
£600
£1,200
£2,400
£6,120
£6,800
Pay Per Module Fees
No of Modules: 3
Per Module Fee: £250
No of Modules: 6
Per Module Fee: £250
No of Modules: 12
Per Module Fee: £250
No of Modules: 18
Per Module Fee: £425
No of Modules: 20
Per Module Fee: £425
Home (UK Residence) Classroom
Pay Upfront Fees (with 20% Disc)
£500
£1,500
£3,000
£6,000
£9,360
£10,400
Pay Per Module Fees
No of Modules: 3
Per Module Fee: £625
No of Modules: 6
Per Module Fee: £625
No of Modules: 12
Per Module Fee: £625
No of Modules: 18
Per Module Fee: £650
No of Modules: 20
Per Module Fee: £650
International
International Fees
£700
£2,100
£4,200
£8,400
£12,600
£14,000
Add-ons
Work Shadowing
Learn More
Optional
Optional
Optional
Optional
Pro Plan
Learn More
Optional
Optional
Optional
Optional
Optional
★ 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
   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.
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
Pro Plan Card

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-Powered Cloud Engineering Course offers an in-depth exploration of the key principles and practices required to build and manage intelligent systems in the cloud. This course is designed to combine cloud infrastructure knowledge with the latest advancements in artificial intelligence and machine learning. You’ll gain both theoretical insights and hands-on experience in deploying, scaling, and automating AI-driven applications in cloud environments-preparing you for the rapidly growing demand for AI-integrated cloud professionals.

Technologies Covered in This Course

Amazon Web Services (AWS)
A leading cloud platform offering robust AI and machine learning services such as SageMaker, Lambda, and EC2, which allow for scalable model training and deployment.

Microsoft Azure
Explore Azure’s powerful AI and ML capabilities through tools like Azure ML Studio, DevOps, and Cognitive Services to build enterprise-grade intelligent applications.

Google Cloud Platform (GCP)
Leverage Google’s cloud infrastructure and AI tools such as Vertex AI and BigQuery for seamless model development, deployment, and data management.

Docker & Kubernetes
Learn to containerise AI models using Docker and orchestrate them in scalable environments with Kubernetes for reliable cloud-native deployment.

TensorFlow & PyTorch
Popular deep learning frameworks used to build, train, and optimise AI models before deploying them on cloud services for real-time applications.

MLOps Tools (MLflow, Kubeflow)
Master the tools that bridge the gap between machine learning development and operations, enabling continuous integration and deployment (CI/CD) of models.

Terraform
Automate infrastructure provisioning in the cloud using Infrastructure as Code (IaC) principles, streamlining deployment and scalability.

CI/CD with Jenkins & GitHub Actions
Automate AI model testing, training, and deployment using modern DevOps pipelines and version control practices.

Apache Airflow
Use this open-source tool for orchestrating complex machine learning workflows, helping to manage data pipelines and training cycles efficiently.

Complementary Workshops

Git Management

Learn More

Interview Preparation

Learn More

Team Building

Learn More

Personality Development

Learn More
Agile Project Management

Agile Project Management

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

  • No prior programming knowledge
  • 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.
  • Ability to work in Group
  • 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 cloud computing fundamentals for AI workloads
  • Learn to deploy AI models on AWS, Azure, and GCP
  • Build and manage scalable cloud-based AI applications
  • Implement MLOps practices for continuous deployment
  • Containerise AI solutions using Docker and Kubernetes
  • Automate infrastructure with Terraform
  • Orchestrate ML workflows using Apache Airflow
  • Optimise AI model performance in cloud environments
  • Monitor and maintain AI services post-deployment
  • Integrate DevOps pipelines using GitHub Actions & Jenkins
  • Ensure security and compliance in AI cloud deployments
  • Complete a real-world capstone: deploy a smart AI service in the cloud

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 LSET AI-Powered Cloud Engineering Certificate course to prepare yourself for the future of intelligent cloud solutions. LSET follows a project-based, hands-on approach to build real-world AI applications using the latest cloud technologies and industry best practices.

Apply Now

Course Content

Browse the LSET interactive and practical curriculum

Module 1: Foundations of Cloud Computing & AI

>> Introduction to cloud platforms (AWS, Azure, GCP) >> Basics of artificial intelligence and machine learning >> Cloud architecture and AI integration

Module 2: Deploying AI Models in the Cloud

>> Setting up AI environments in cloud platforms >> Model training and evaluation in the cloud >> Using managed AI services (SageMaker, Azure ML, Vertex AI)

Module 3: Scaling and Optimising AI Workloads

>> Autoscaling and load balancing AI services >> Performance tuning for cloud AI applications >> Cost management and optimisation

Module 5: MLOps and AI Lifecycle Management

>> Concepts and tools in MLOps (MLflow, Kubeflow) >> Monitoring, logging, and model retraining >> Security and compliance in AI deployments

Module 6: Orchestrating AI Workflows

>> Workflow management with Apache Airflow >> Automating data pipelines and training jobs >> Integrating AI workflows with cloud services

*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.

Having Doubts?

Contact LSET Counsellor

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

Best Career Paths

Cloud AI Engineer

Design, deploy, and manage AI models on cloud platforms such as AWS, Azure, or GCP, ensuring scalable and reliable performance.

MLOps Engineer

Streamline and automate the machine learning lifecycle-from model training to deployment and monitoring-using DevOps and cloud-native tools.

AI Solutions Architect

Create end-to-end AI-powered systems by integrating cloud infrastructure, machine learning models, and scalable services tailored to business needs.

Cloud DevOps Specialist

Manage CI/CD pipelines for AI workloads, automate infrastructure provisioning, and ensure high availability in production environments.

Data Engineer (Cloud-AI Focused)

Build and optimise data pipelines for machine learning in the cloud, enabling efficient data processing and model training.

AI Product Engineer

Develop intelligent cloud-based applications for real-world use cases such as recommendation systems, chatbots, or predictive analytics.

Faculties & Mentors

Mayur Ramgir

Mayur Ramgir

View Profile

Why Learn AI-Powered Cloud Engineering?

  • Combine two of the most in-demand tech skills: AI and cloud computing
  • Build intelligent, scalable applications for real-world deployment
  • Automate and optimise the AI lifecycle with MLOps practices
  • Master deployment across AWS, Azure, and Google Cloud
  • Enhance your career opportunities in AI, DevOps, and cloud roles
  • Learn to manage production-ready AI systems with reliability
  • Stay competitive in a rapidly evolving tech landscape
  • Gain hands-on experience through industry-aligned projects

Who Should Apply for this Course?

  • Software engineers aiming to integrate AI into cloud environments
  • Cloud developers looking to specialise in AI services
  • Data engineers interested in scalable machine learning pipelines
  • MLOps practitioners seeking advanced deployment skills
  • AI enthusiasts ready to move from local to cloud-based systems
  • IT professionals preparing for careers in AI and cloud infrastructure
  • Students and graduates looking to enter the AI-driven cloud industry

The Course Provides Shared Expertise by

LSET Trainers

LSET Trainers

Industry Expert

Industry Expert

Top Employers

Top Employers

Skills You will Gain

  • Cloud computing fundamentals
  • AI model deployment
  • Machine learning lifecycle management
  • MLOps best practices
  • Docker & Kubernetes orchestration
  • Infrastructure as Code (Terraform)
  • CI/CD pipeline development
  • AWS, Azure, Google Cloud services
  • Data pipeline engineering
  • Workflow automation (Apache Airflow)
  • AI service monitoring and optimisation
  • Security and compliance in cloud AI

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

AWS

AWS

Azure Portal

Azure

Docker

Kubernetes

Kubernetes

TensorFlow

TensorFlow

Register Now!

Start Your Journey to Becoming an AI-Powered Cloud Engineering Expert

LSET provides the perfect headstart to launch your career in AI-driven cloud technologies.

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