Professional Certificate in Cloud Computing for Data Streaming

Tuesday, 26 August 2025 19:16:57

International applicants and their qualifications are accepted

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Overview

Overview

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Cloud Computing for Data Streaming: This Professional Certificate equips you with in-demand skills in real-time data processing.


Master big data technologies like Apache Kafka and Apache Flink.


Learn to design, build, and deploy cloud-based streaming applications on platforms such as AWS Kinesis and Azure Stream Analytics.


Ideal for data engineers, software developers, and IT professionals seeking to advance their careers in cloud computing and data streaming.


Gain hands-on experience with data ingestion, processing, and analysis techniques.


Cloud Computing for Data Streaming expertise is highly sought after. Enhance your resume and unlock new opportunities.


Explore the curriculum and start your journey today!

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Cloud Computing for Data Streaming: Master the art of real-time data processing and analysis with our Professional Certificate. This intensive program equips you with in-demand skills in big data technologies, including Apache Kafka and Spark. Gain hands-on experience with cloud platforms like AWS and Azure, building robust, scalable data streaming architectures. Boost your career prospects in data engineering, cloud architecture, or data science. Our unique curriculum features industry-relevant projects and mentorship from expert practitioners, ensuring you’re job-ready upon completion. Become a sought-after cloud computing professional with this transformative data streaming certificate.

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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

• Introduction to Cloud Computing for Data Streaming
• Data Streaming Architectures and Technologies (Kafka, Spark Streaming, Flink)
• Real-time Data Processing with Apache Kafka
• Building Scalable and Fault-Tolerant Data Streaming Pipelines
• Data Integration and Transformation in Data Streaming
• Cloud-Based Data Streaming Platforms (AWS Kinesis, Azure Stream Analytics, GCP Dataflow)
• Monitoring and Managing Data Streaming Applications
• Security and Compliance in Cloud Data Streaming
• Advanced Analytics and Machine Learning on Streaming Data

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

Career Role (Cloud Computing & Data Streaming) Description
Cloud Data Engineer (UK) Design, build, and maintain robust and scalable data pipelines using cloud platforms like GCP, AWS, or Azure for real-time data streaming applications. High demand for expertise in Apache Kafka, Spark, and cloud-native services.
Data Stream Architect (UK) Develop and implement architectural blueprints for large-scale data streaming systems. Oversee the integration of streaming data into broader cloud-based data ecosystems. Expertise in designing fault-tolerant and high-throughput solutions is essential.
Big Data Developer (UK) Develop and maintain applications processing vast volumes of streaming data using technologies such as Hadoop, Spark, and Flink. Strong programming skills (e.g., Python, Java, Scala) are critical.
Cloud Data Analyst (UK) Extract insights from real-time streaming data to support business decision-making. Requires strong analytical skills and experience with data visualization tools and SQL.

Key facts about Professional Certificate in Cloud Computing for Data Streaming

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A Professional Certificate in Cloud Computing for Data Streaming equips you with the skills to design, build, and manage data streaming pipelines on leading cloud platforms like AWS, Azure, and GCP. You'll master technologies such as Apache Kafka, Apache Flink, and Spark Streaming, crucial for real-time data processing and analysis.


Learning outcomes include a deep understanding of data streaming architectures, hands-on experience with various streaming technologies, and the ability to optimize performance and scalability within a cloud environment. Graduates gain proficiency in big data technologies and cloud-native development, making them highly sought-after in the current job market.


The program's duration typically ranges from several weeks to a few months, depending on the intensity and curriculum. This intensive format allows for rapid skill acquisition and immediate applicability to real-world projects. The curriculum is designed to align with industry best practices and evolving demands, ensuring relevance and career advancement.


This Professional Certificate in Cloud Computing for Data Streaming is highly relevant for roles in data engineering, cloud architecture, and big data analytics. Graduates are prepared to tackle challenges in areas such as real-time analytics, IoT data processing, and financial market data analysis, leveraging their expertise in cloud-based data streaming solutions.


The certificate enhances career prospects significantly by demonstrating practical expertise in high-demand skills within the rapidly growing field of cloud computing and data streaming. This makes it a valuable asset for both recent graduates and experienced professionals looking to upskill or transition into a high-growth sector.

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Why this course?

A Professional Certificate in Cloud Computing for Data Streaming is increasingly significant in today's UK job market. The demand for professionals skilled in handling and analyzing massive datasets in real-time is booming. According to a recent study by [Source Name], the UK cloud computing market is projected to grow by [Percentage]% by [Year], creating a surge in job opportunities for data streaming specialists. This growth is fueled by the increasing adoption of cloud-based solutions across various sectors, including finance, healthcare, and retail, further emphasizing the importance of mastering data streaming technologies like Apache Kafka and Apache Flink.

Skill Demand
Data Streaming High
Cloud Computing Very High

Who should enrol in Professional Certificate in Cloud Computing for Data Streaming?

Ideal Candidate Profile Skills & Experience Career Goals
Data analysts seeking to enhance their skills in cloud-based data processing. Experience with SQL, Python, or similar programming languages; familiarity with big data concepts is beneficial. Advancement to senior data analyst roles, cloud architect positions, or data engineering opportunities. The UK tech sector alone is projected to create tens of thousands of new jobs in data science and cloud computing in the next few years, making this certificate highly relevant.
Software engineers interested in specializing in data streaming and real-time analytics. Strong programming skills, understanding of distributed systems, and experience with messaging queues (Kafka, etc.). Specialization in cloud-native application development, transition to high-paying roles in real-time data processing, and leadership positions in cloud engineering.
IT professionals aiming to upskill in cloud computing and data management. Existing IT background, fundamental understanding of networking concepts, and some familiarity with cloud platforms (AWS, Azure, GCP). Career changes into cloud-based data roles, increased earning potential through specialized cloud skills, and improved job security in a rapidly growing field.