Your practical, industry-informed journey to deeper expertise in cloud engineering
An immersive program designed to elevate your skills and experience, transforming you into a top-performing cloud engineer.
Advance your career by creating and implementing industry-standard systems, with guidance from a network of seasoned industry experts.
Advance your career by building real industry systems through industry projects
Our industry projects put you in the position of an engineer on the job. You are dropped into cloud infrastructure that mirrors what you’d find in the workplace. You are challenged to use step by step instructions to build their data pipelines and models, learning by doing.
Build a solid foundation in software engineering
Software Engineering
Learn the core of writing production ready code, following industry best practices.
You will build two different projects that will help you learn the basic and advanced concepts of Python, and other industry relevant tools such as the command line and version control tools, such as git and GitHub. In the first project you will create a command line assistant that helps you process multiple entries from IMDB. In the second project you build an implementation of the Hangman game using object oriented programming in Python.
Module 1: Python Programming
- Arithmetic Variable Assignment and Strings
- Lists and Sets
- Dictionaries, Tuples and Operators
- Control Flow
- Loops
- Functions
- Error Handling
- The Python environment
- Advanced Python
- Debugging
- Object Oriented Programming
Module 2: The Command Line
- FIle Navigation
- File Manipulations
- File Permissions
- Advanced Command Line Features
Module 3: Git and Github
- Version Control
- Commits and Branches
- Fetching and Merging
- Merge Conflicts
- Pull Requests
- README Files
- GitHub Security
Then specialise in cloud engineering
Cloud Engineering
Learn how to design, build and manage scalable and reliable cloud-based infrastructure and services to support various applications and workloads
- Build a complete data solution for a multinational organisation, from data acquisition to analysis . Write Python code to extract large datasets from multiple data sources. Utilise the power of Pandas to clean and analyse the data. Build a STAR based database schema for optimised data storage and access. Perform complex SQL data queries to extract valuable insights and make informed decisions for the organisation.
- Demonstrate your cloud engineering skills by designing and deploying a Microsoft Azure-based database system, including migration, disaster recovery simulations, and geo-replication, to enhance data management and availability.
Module 1: Essential Data and File Types
- Creating and Reading a JSON file
- Writing a CSV File
- Reading a CSV File
- Writing a JSON File
- Reading a JSON File
Module 2: Web APIs
- Basics of APIs and Communication Protocols
- Working with API Requests
- FastAPI
- Routing with FastAPI
- Sending Data to FastAPI
Module 3: SQL
- What is SQL?
- SQL Setup
- SQL Tools Setup
- SQL Commands
- SQL best practices
- SELECT and Sorting
- The WHERE Clause
- CRUD Creating Tables
- CRUD Altering Tables
- SQL JOINs
- SQL JOIN Types
- SQL Common Aggregations
- SQL GROUP BY
- Creating Subqueries
- Types of Subqueries
- CRUD Subquery Operations
- Common Table Expressions (CTEs)
- pyscopg2 and SQLAlchemy
Module 4: Essential Cloud Technology
- What is the Cloud
- Essential Cloud Concepts
- AWS Identity and Access Management
- AWS CLI
- Introduction to Amazon S3
- S3 Objects and boto3
- Amazon EC2
- Virtual Private Cloud
- IAM Roles
- Amazon RDS
- Billing in AWS
Module 5: Azure Cloud Essentials
- What is the Cloud?
- Essential Cloud Concepts
- What is Azure?
- Resources and Resource Groups
- Azure Cloud Shell and CLI
Module 6: Azure Compute and Security Services
- Azure Virtual Machines
- Azure Active Directory
- Azure SQL
- Azure SQL Database
- Azure Storage
Module 7: Azure Database Management
- SQL Server Databases on Azure VMs
- Azure Data Studio and Database Migration
- SQL Server Database Backups
- Disaster Recovery in Azure
- Azure AD for Azure SQL Database
Career support
Work with our outcomes team to launch your new career.
Programme Schedule
The programme is fully remote. There are no traditional “classes” to attend. You can progress through your learning and projects on whatever schedule is convenient to you, booking time with support engineers to guide you as you need it.
Drop-in live support sessions available through the day and evening
Online community meetups Monday - Thursday 6:30PM to 9:30PM where you can work alongside your peers and support engineers are available for instant support
Drop-in live support sessions available through the day and evening
Online community meetups Monday - Thursday 6:30PM to 9:30PM where you can work alongside your peers and support engineers are available for instant support
Drop-in live support sessions available through the day and evening
Online community meetups Monday - Thursday 6:30PM to 9:30PM where you can work alongside your peers and support engineers are available for instant support
Accelerate your career development with AiCore
Career playbook
Optimise your CV, LinkedIn, and GitHub profiles, and discover effective strategies to pinpoint and secure your next role.
Get referred by alumni
Our alumni network hire directly from AiCore. Over 15% of AiCore grads get hired this way.
Interview coaching
Our team provides comprehensive preparation, including general and technical mock interviews, to ensure you're well-prepared and poised for success in advancing your career.
Curated job board
Access our internal job board of curated roles
Success stories
Neuroscience graduate
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Miruna Nitu
Data Engineer at ASOS
Software Engineer
Ahmed Asadi
Machine Learning Engineer at Elemeno Ai
VP of Technology
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Ben Pashley
ML Systems Architect at Faculty
Learning packages that work for you
Professional certification
Obtain professional certifications in essential skills for a successful career as a data analyst, data scientist, data engineer, cloud engineer or machine learning engineer.
Career launch
The end-to-end solution for launching your career as a data analyst, data scientist, data engineer, cloud engineer or machine learning engineer.
Frequently Asked Questions
Who are we?
AiCore is a specialist Ai & Data career accelerator. We deliver an immersive programme that will help launch your career in Ai & Data. To-date we have had over 2500 students successfully graduate our programme.
Where will I take classes?
Our programmes are 100% online and available on demand.
Do I need prior knowledge or an academic degree to join?
No, we don’t require any specific degrees or certifications to join the programme.
Do I receive a certification when I complete the programme?
Yes we offer the following certification for each specialisms:
- Data Engineering: Databricks Certified Data Engineer Associate
- Cloud Engineering: Microsoft Azure Fundamentals (AZ-900)
- Data Analytics: Microsoft Power Bi Data Analyst Associate (PL-300)
- DevOps Engineering: HashiCorp Certified Terraform Associate (003)