Applied Artificial Intelligence
As AI continues to reshape the world we inhabit, it is vital for technology specialists to comprehend AI concepts and have the skills necessary to develop AI-based applications and solutions. As such, this course aims to provide you with an overview of AI principles and approaches.
This course covers machine learning, time series forecasting, deep learning, natural language processing, conversation AI and semantic web. Through this program, you will gain a solid understanding of AI, its applications, use cases and the ability to apply AI-based tools in your solutions. This course will equip you with the knowledge needed to enter the technology industry and improve your existing skill sets to advance your career.
This course is for anyone interested in AI, Deep Learning, Chatbot, or AI-powered Virtual Assistant.
Participants should preferably have a basic understanding of mathematics and some experiences in Python Programming, such as Flow Control, Lists & Functions, and Importing Libraries.
- Theory of AI
- Machine Learning: Regression, Classification & Clustering
- Time Series Forecasting
- Deep Learning: Artificial Neural Network (ANN), Convolution Neural Network (CNN), Recurrent Neural Network (RNN)
- Natural Language Processing (NLP) and Applications
- Conversational AI: Chat Bot
- Semantic Web