Big Data and Cloud Computing Cutting-edge Technologies and Trends

Course Introduction

“Big Data and Cloud Computing: Cutting-edge Technologies and Trends” is a compact, high-impact 2-week course designed to introduce learners to the rapidly evolving fields of big data analytics and cloud-based computing. This program delivers a focused overview of key concepts, tools, and real-world use cases that are shaping the digital transformation of businesses. Participants will gain a foundational understanding of how large-scale data is managed and analyzed using cloud technologies, preparing them for future study or professional roles.

After Study Job Opportunities

• Cloud Support Assistant
• Junior Data Analyst (with cloud exposure)
• Data Entry Specialist with cloud tools
• IT Operations Intern
• Technical Support (Cloud Services)
• Research Assistant in Cloud/Big Data Projects

List of Required Documents

• Resume
• Passport or ID Photo

Admission Tests

• Study of the school file
• Tests: general knowledge, English, logic and practical case study
• Individual motivational interview

Professional Training

Participants will receive focused training in:

• Big Data basics: definitions, characteristics (4Vs), and value
• Cloud computing essentials: IaaS, PaaS, SaaS models
• Overview of popular platforms (AWS, Azure, GCP)
• Introduction to Hadoop, Spark, and distributed data processing
• Cloud-based data storage solutions (e.g., S3, Blob Storage)
• Data analytics tools and dashboards (e.g., BigQuery, AWS Athena)
• Real-world case studies in telecom, healthcare, and e-commerce

Objectives and Context of Certification

This certification is designed to provide a rapid foundational understanding of how cloud computing and big data intersect. It equips participants with a broad perspective on emerging technologies and sets the groundwork for deeper learning or cross-skilling in IT and data domains.

As cloud services become central to IT infrastructure and big data analytics drives decision-making across industries, this short-term certification helps learners grasp the essentials and prepares them for future opportunities in the digital economy.

Graduate Responsibilities

After completing the training, participants will be able to:

• Understand the basic architecture of big data and cloud systems
• Identify key cloud platforms and their data services
• Assist in simple cloud-based data operations
• Demonstrate awareness of emerging trends and technologies
• Use dashboards or tools to analyze basic datasets
• Support project teams in data-centric or cloud initiatives

Post-Study Job Opportunities

After completing the course, learners may be suited for Cloud Technology Trainee, Big Data Research Intern, Data Center Operations Assistant, Cloud Service Desk Assistant, Entry-Level Analytics Support, and Tech Documentation or QA Assistant (Cloud Tools). This course also prepares learners for advanced certifications like AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader.

Evaluation Methodology

• Weekly Quizzes (20%) – Understanding of key concepts
• Hands-on Assignments (30%) – Application to practical scenarios
• Final Project / Mini Capstone (30%) – Cumulative understanding project
• Participation & Interaction (10%)
• Final Assessment Test (10%) – Summary of key takeaways

Course Summary

• Duration: 2 weeks (60 hours) or part-time: 80 hours over 8 weeks
• Format: Online / In-person / Hybrid (ILT)
• Modules Include: Big Data Fundamentals, Cloud Computing Models, Hadoop, Spark, Data Analytics Tools
• Assessment: Case studies, hands-on exercises, and final project
• Outcome: Foundational certification in Big Data and Cloud Computing

This course offers a concise yet meaningful introduction to the world of big data and cloud computing. By combining theoretical insights with practical exposure to industry-standard tools and platforms, learners will leave with a clear understanding of how these technologies are transforming modern businesses.

Starting intake: According to customer request

Tuition Fees:

• €3,000 per participant (60 hours)
• Inhouse corporate training: €30,000 per cohort (10-15 participants)