iOS App Development with Swift 1 (15hrs)
Prerequisites
-
Module Description
This module introduces the Swift programming language and Xcode IDE. Learners will explore fundamental programming concepts, use Xcode Playgrounds, and build simple iOS apps. By the end, participants will be able to write basic Swift programs and navigate iOS development tools confidently.
Fees
Upon request.
iOS App Development with Swift 2 (15hrs)
Prerequisites
iOS App Development with Swift 1
Module Description
This module builds on prior Xcode skills, introducing UIKit for creating interfaces with views and controls. Participants will learn to handle user interactions, use dynamic auto layout, and gain hands-on experience by building an iOS app to reinforce these concepts.
Fees
Upon request.
AI-driven iOS mobile apps with Swift and CoreML (5hrs)
Prerequisites
iOS App Development with Swift 2
Module Description
In this course, participants will learn to build AI-driven iOS apps using Swift and Core ML. They will explore how to integrate machine learning models into mobile applications, process user input, and deliver intelligent features. By the end, participants will create a simple AI-enabled iOS app using Core ML.
Fees
Upon request.
Introduction to Python (15hrs)
Prerequisites
-
Module Description
Explore Python, a versatile and free open-source language widely used in web, mobile development, and data analysis. Adopted by companies like Instagram, Spotify, and Amazon, Python optimises digital solution workflows and supports machine learning and data science through its extensive libraries.
Fees
Upon request.
AI 1: AI Fundamentals with PyTorch & MLX (8hrs)
Prerequisites
Introduction to Python
Module Description
Gain a practical foundation in AI using PyTorch and MLX, Apple’s high-performance framework. This course covers core AI concepts and teaches participants to build, train, and deploy models on cloud and Apple Silicon platforms through hands-on projects.
Fees
Upon request.
AI 2: Gen AI on-Premise deployment with Mac (15hrs)
Prerequisites
AI 1: AI Fundamentals with PyTorch & MLX
Module Description
Learn how to run generative AI models locally on Mac from ground up using the llama.cpp and Apple MLX frameworks! This course guides you through efficient on-device deployment of large language models, optimised for Apple Silicon. Further leverage on third-party platforms including LM Studio, Ollama, exo, and WebAI to extend functionality and build fully on-premise, private AI workflows.
Fees
Upon request.
AI 3: On-premise RAG with Mac (8hrs)
Prerequisites
AI 2: Gen AI on-Premise deployment with Mac
Module Description
Learn to build private, on-premise retrieval-augmented generation (RAG) systems on your Mac using LlamaIndex, LangChain, Chroma, Streamlit, and Python. This course guides you through connecting local LLMs to custom data sources, creating fast retrieval pipelines, and deploying interactive AI apps — all fully offline and optimized for Apple Silicon.
Fees
Upon request.
AI Fundamentals with PyTorch & MLX
Prerequisites
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Module Description
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Fees
Upon request.