Extract-Transform-Load: Perform Extract, Transform, and Load (ETL) operations using industry-standard tools and techniques for integrating data from disparate sources into a unified and structured format.

Data Pipelines: Design efficient and effective data pipelines for automatically processing, transforming, and moving data between systems.

Utilising the cloud: Leverage the power of AWS for data engineering by building scalable and cost-effective data pipelines, processing large volumes of data, and managing data storage and retrieval using various AWS services. 

Data Modelling: Design and implement efficient data models that capture the structure, relationships, and constraints of complex data domains in a clear and concise manner.

Big Data: Explore the world of Big Data including fundamental concepts, tools, and techniques for processing, analysing, and visualizing large and complex datasets. 

Professional skills & leadership development: Develop good presenting and consulting skills, communication, listening, feedback, collaboration, emotional intelligence, mental health and wellbeing, behaviours and attitudes. 

Our intensive cloud training dives deep into Amazon Web Services (AWS), but also provides foundational Microsoft Azure and Google Cloud Platform (GCP) skills alongside a wide range of interpersonal lessons to ensure we have well-rounded engineers who are ready for industry. 

Real-World Training: hands-on labs and project work provide the experience and skills needed for working in the tech industry. 

Collaboration: we work in small teams to simulate real-world projects, so that our Cloud engineers are confident working with others. 

Experience: our training is not based on a single curriculum. We’ve included development and infrastructure along with other cloud providers. 

Leadership coaching: focused on the development of enterprise, communication and management skills. 

The 12-week immersive training Academy will take you through two certifications: 

• Google Cloud Associate Cloud Engineer: This assesses you ability to deploy applications, monitor operations, and manage enterprise solutions using use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
• AWS Data Engineer Associate: This certification validates your skills and knowledge in core data-related AWS services, your ability to implement data pipelines, monitor and troubleshoot issues, and optimise cost and performance in accordance with best practices. 

 
These certifications will be required for you to successfully graduate from the Digital Futures Academy Data programme and to become an employee of Digital Futures, joining our supportive community of technology professionals and leading on to your industry placement with one of our clients.