AI Applications Series

The AI Applications Series covers artificial intelligence as it is actually put to work — building systems that solve a defined problem rather than studying algorithms in isolation. It spans the practical spread of modern AI: machine learning and deep learning, natural language processing, generative models, and the fast-growing area of autonomous and multi-agent systems that can reason, plan and act on a task from end to end.
Courses in this series run from foundations to specialisation and certification. You can build core skills through machine learning specialisations, deep learning with Keras and large language models, reinforcement learning and NLP with Python, then move into applied agent work such as multi-agent systems, agentic AI for logistics, and AI agents built with Gemini CLI. The series also includes recognised industry certifications from Microsoft Azure AI and CompTIA, so you can convert hands-on capability into a formal credential.
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Multi Agents System for Algorithmic Trading
Algorithmic trading is entering the agentic AI era. Instead of a single model predicting prices, a multi agents system deploys a team of specialised AI agents—a market research agent, a technical analysis agent, a strategy agent, a risk manager and a trade executor—that collaborate, debate and cross-check each other before any trading decision is made. In this hands-on 2-day course, you will learn how to ....₵3,000.00before funding and GST