The Stories Book
A fine collection of moments in time featuring photographs from Louis Fleckenstein, Paul Strand and Asahachi Kōno.
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BusyAI Academy Curriculum
We offer industrial placements and apprenticeships across various locations and options (Hybrid, remote, On-Site)
About BusyAI Academy
At BusyAI Academy, We give you the opportunity, requisite skills and confidence required for a successful career in the Technology Industry.
We equip beginners, Associate and experience IT professionals, data scientists, and engineers with hands-on expertise in AI and dataanalytics. Through practical training solutions, the academy fosters continuous learning, innovation, and the development of scalable, real-world technologies that meet the evolving demands of modern businesses.
International Presence
We have partners and international students in several countries
Training modules
Artificial Intelligence (AI)
- Introduction to Artificial Intelligence
- History and Evolution of AI
- AI Applications Across Industries
- AI Ethics, Bias, and Governance
- AI Tools & Frameworks Overview (TensorFlow, PyTorch, etc.)
- Building AI Chatbots and Virtual Assistants
- AI for Natural Language Processing (NLP)
- AI in Computer Vision (Image & Video Processing)
- AI in Business Decision-Making
- Capstone Project: AI-Driven Solution for a Real-World Problem
Machine Learning (ML)
- Introduction to Machine Learning
- Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
- Data Preprocessing & Feature Engineering
- Regression & Classification Models
- Model Evaluation & Optimisation
- Deep Learning Basics (Neural Networks, CNN, RNN)
- Predictive Analytics in Business
- ML Deployment in Production Environments
- ML for Fraud Detection & Risk Analysis
- Capstone Project: Build & Deploy an ML Model for a Business Case
Cybersecurity
- Introduction to Cybersecurity & Threat Landscape
- Cybersecurity Principles (CIA Triad)
- Network Security & Firewalls
- Cyber Threats & Attack Vectors (Phishing, Malware, Ransomware)
- Ethical Hacking & Penetration Testing Basics
- Cloud Security Principles
- Data Protection & GDPR Compliance
- Incident Response & Disaster Recovery
- AI in Cybersecurity Threat Detection
- Capstone Project: Create a Cybersecurity Risk Assessment Plan
Data Analytics
- Introduction to Data Analytics & Data Lifecycle
- Data Collection, Cleaning & Transformation
- Data Visualisation Tools (Power BI, Tableau)
- Exploratory Data Analysis with Python/R
- Descriptive, Diagnostic, Predictive & Prescriptive Analytics
- Big Data Basics & Cloud Data Platforms
- AI-Driven Analytics & Decision Support
- Real-World Case Studies in Finance, Retail, and Healthcare
- Capstone Project: Build an End-to-End Data Analytics Dashboard