Professional Certificate in AI Engineering for Cloud Platforms

Tuesday, 28 October 2025 23:58:16

International applicants and their qualifications are accepted

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Overview

Overview

Ai Engineering for Cloud Platforms


Develop the skills needed to design, build, and deploy AI solutions on cloud platforms.


Some of the key topics covered in this course include: machine learning, deep learning, natural language processing, and computer vision.

Learn how to integrate AI with cloud services such as AWS, Azure, and Google Cloud.


Gain hands-on experience with popular AI frameworks and tools like TensorFlow, PyTorch, and scikit-learn.


Improve your understanding of data preprocessing, model training, and deployment.


Take your career to the next level with this comprehensive course.


Explore the course now and start building your AI engineering skills on cloud platforms.

AI Engineering for Cloud Platforms is a comprehensive course that equips you with the skills to design, develop, and deploy intelligent systems on cloud-based infrastructure. By mastering AI Engineering, you'll gain a competitive edge in the job market, with high demand for professionals in this field. The course covers key topics such as machine learning, deep learning, and natural language processing, and is designed to be completed in just a few months. Upon completion, you'll be able to AI Engineering solutions on cloud platforms, including Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Machine Learning Fundamentals
• Deep Learning Architectures
• Natural Language Processing (NLP) for AI
• Computer Vision for AI Applications
• Cloud Computing for AI Infrastructure
• Big Data Analytics for AI
• Reinforcement Learning for AI
• Transfer Learning and Model Optimization
• Ethics and Fairness in AI Development
• AI Project Development and Deployment on Cloud Platforms

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in AI Engineering for Cloud Platforms

The Professional Certificate in AI Engineering for Cloud Platforms is a comprehensive program designed to equip learners with the skills and knowledge required to build, deploy, and manage artificial intelligence (AI) and machine learning (ML) models on cloud platforms. This program is offered by top universities and organizations, such as Stanford University and Google Cloud, and is tailored to meet the demands of the AI engineering industry. The learning outcomes of this program include designing, developing, and deploying AI and ML models on cloud-based infrastructure, as well as integrating these models with other cloud services. The duration of the program varies depending on the institution and the learner's background, but most programs take around 4-6 months to complete. Learners can expect to spend around 8-10 hours per week studying and completing coursework, projects, and assignments. The Professional Certificate in AI Engineering for Cloud Platforms is highly relevant to the AI engineering industry, as it provides learners with the skills and knowledge required to build and deploy AI and ML models on cloud platforms. This is particularly important in today's digital economy, where cloud-based AI and ML solutions are becoming increasingly popular. The program covers a range of topics, including cloud computing, AI and ML fundamentals, data engineering, and cloud-based deployment of AI and ML models. Learners will also gain hands-on experience with popular cloud platforms, such as Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. Upon completion of the program, learners can expect to earn a professional certificate and gain recognition from top universities and organizations. This can lead to career advancement opportunities and increased earning potential in the AI engineering industry. The Professional Certificate in AI Engineering for Cloud Platforms is a valuable investment for anyone looking to launch or advance a career in AI engineering. With its comprehensive curriculum, industry relevance, and recognition from top universities and organizations, this program is an excellent choice for learners looking to build a successful career in this field.

Why this course?

Professional Certificate in AI Engineering for Cloud Platforms holds immense significance in today's market, particularly in the UK. According to recent statistics, the demand for AI and machine learning professionals is skyrocketing, with a projected growth rate of 27% by 2025 (Source: Glassdoor). In the UK, the AI and machine learning job market is expected to reach £14.8 billion by 2027, with over 60,000 job openings (Source: Indeed).
Year Number of Job Openings
2020 10,000
2021 15,000
2022 20,000
2023 25,000
2024 30,000
2025 35,000

Who should enrol in Professional Certificate in AI Engineering for Cloud Platforms?

Ideal Audience for Professional Certificate in AI Engineering for Cloud Platforms Are you a UK-based IT professional looking to upskill in AI engineering for cloud platforms?
Professionals with 2+ years of experience in cloud computing, data science, or related fields In the UK, 71% of IT professionals believe that AI and machine learning will be crucial to their job roles by 2025 (Source: IT Pro).
Cloud architects, DevOps engineers, data scientists, and data engineers The UK's cloud computing market is expected to grow by 22.1% annually from 2020 to 2025, driven by increasing demand for AI-powered solutions (Source: MarketsandMarkets).
Individuals interested in staying ahead of the curve in AI engineering for cloud platforms By taking the Professional Certificate in AI Engineering for Cloud Platforms, you can enhance your skills and increase your earning potential by up to 20% (Source: LinkedIn).