Algorithm

Course Description

An immersive programme covering the core principles of robotics and artificial intelligence, with a strong emphasis on hands-on learning. You will build, programme and control robots while integrating AI for navigation and vision, using ROS to keep the whole system scalable.

Key Benefits & Learning Outcomes

• Design, programme and assemble robots from scratch.
• Master robotics control and AI integration for navigation and vision.
• Build functional robots — line-following, robotic arm, obstacle-avoiding and voice-controlled.
• Gain working experience with ROS to manage complex robotics systems.

Tech Stacks Covered

• Programming: Python, Arduino IDE, C++
• Hardware: Arduino microcontrollers, ESP32, Jetson Nano, Raspberry Pi, sensors, actuators, motors
• Libraries / Tools: OpenCV, PyTorch, ROS
• Platforms: Raspberry Pi, NVIDIA Jetson Nano, Arduino, ESP32
• Simulators: Gazebo, for testing robotics designs

Course Description

Machine learning and artificial intelligence covered end to end — from data handling and model building through to deployment on real hardware. Same hands-on emphasis and the same structure as the robotics track: 10 months of class followed by 12 months of on-job training.

Key Benefits & Learning Outcomes

• Build and train models from first principles, not just call libraries.
• Work with real datasets — cleaning, labelling, evaluation, iteration.
• Deploy computer-vision models onto edge devices like the Jetson Nano.
• Leave with a portfolio of shipped projects, not just a certificate.

Tech Stacks Covered

• Programming: Python, C++
• Libraries / Tools: OpenCV, PyTorch
• Platforms: Raspberry Pi, NVIDIA Jetson Nano

Course Description

Master the full analytics workflow — cleaning and querying data, building dashboards, and using AI to surface the insights a business actually acts on. Job-ready for analyst roles from day one.

Key Benefits & Learning Outcomes

• Query and clean real datasets with SQL and Python.
• Build interactive dashboards in Power BI and Tableau.
• Tell clear data stories with charts and reports.
• Step into Data Analyst, Business Analyst or Reporting Analyst roles.

Tech Stacks & Careers

• Analysis & BI: Excel, SQL, Power BI, Tableau
• Programming: Python
• Visualisation: Matplotlib, Seaborn
• Career roles: Data Analyst, Business Analyst, Data Visualization Analyst

Course Description

Engineer data pipelines, train machine-learning models and deploy AI on real hardware — the core skill set of a working data scientist, taught hands-on end to end.

Key Benefits & Learning Outcomes

• Build and train models with PyTorch and TensorFlow.
• Wrangle data at scale with pandas and NumPy.
• Apply computer vision with OpenCV on real problems.
• Move into Data Scientist, Data Engineer or ML Engineer roles.

Tech Stacks & Careers

• Programming: Python
• ML / Deep Learning: PyTorch, TensorFlow, scikit-learn
• Data & Vision: pandas, NumPy, OpenCV
• Career roles: Data Scientist, Data Engineer, AI / ML Engineer

Course Description

A hands-on foundation in Python built for the AI age — from first principles of programming to writing scripts that automate work and talk to AI models.

Key Benefits & Learning Outcomes

• Write clean, real-world Python from the ground up.
• Automate everyday tasks and workflows.
• Work with data and connect to AI / ML libraries.
• Build a portfolio of small, shipped projects.

Tech Stacks & Careers

• Programming: Python
• Focus: Automation, scripting, AI foundations
• Outcome: Job-ready Python fundamentals

Course Description

Master professional graphic design and pair it with prompt engineering to create branding, advertising and posters faster and sharper than ever before.

Key Benefits & Learning Outcomes

• Design branding, advertising and movie-poster artwork.
• Create visuals with generative-AI tools and prompts.
• Master prompt engineering for design workflows.
• Build a professional, portfolio-ready body of work.

Tech Stacks & Careers

• Tools: Adobe Photoshop
• AI: Generative AI, Prompt Engineering
• Focus: Branding, Advertising, Poster Design
• Career roles: Graphic Designer, AI / Creative Design roles

Course Description

Run modern campaigns powered by AI — learn SEO, social and content marketing alongside prompt engineering to plan, create and scale campaigns that convert.

Key Benefits & Learning Outcomes

• Plan and run SEO and social-media campaigns.
• Create content and creatives with generative AI.
• Use prompt engineering across the marketing stack.
• Measure and optimise with analytics.

Tech Stacks & Careers

• Channels: SEO, Social Media, Content
• AI: Generative AI, Prompt Engineering
• Focus: Campaign strategy & analytics
• Career roles: Digital Marketer, AI Marketing roles