Empowering Businesses through Artificial Intelligence (AI), Generative Pre-trained Transformer (GPT), Cloud Agility and Cyber Security Design (Classroom and Asynchronous Learning)
About This Course
This programme aims to enhance the skills of professionals across sectors such as technology, finance, healthcare, retail, and manufacturing, highlighting the impact of deep learning, GPT, and cloud technologies in sparking innovation and elevating business performance. It offers thorough insights and hands-on experience in utilising these technologies for business advancements, ensuring participants understand deep learning principles, explore GPT model capabilities, and utilise cloud computing for effective, scalable solutions. Aligned with national efforts to promote digital transformation, this course prepares individuals to use advanced technologies, boosting innovation and competitiveness in the digital market. It's ideal for those in artificial intelligence, machine learning, and cloud computing fields, including data analysts, software developers, project managers, and business strategists seeking to apply technology for better decision-making and operational efficiency. Additionally, the course covers cybersecurity basics, teaching participants to safeguard against cyber threats and uphold best Information Technology (IT) practices. Learners will be adept at applying these technologies to craft innovative solutions, enhance business processes, and secure a competitive advantage in the dynamic digital arena.
What You'll Learn
1. Write codes to solve business problems (case study) programmatically by creating AI models using Python, Keras, cloud, GPT and Application Programming Interface (API).
2. Manage data to sufficiently derive, communicate analytics outcome and eventually create AI model in Business.
3. Implement a simple system in cloud including engineering work in implementing AI model in Business.
4. Apply cost-benefit analyses, forecasting, and other quantitative evaluations to justify the use of AI in business modeling.
5. Demonstrate the usage of data mining techniques like regression and decision trees in relevant situations involves applying these techniques to analyze data and extract meaningful insights, which can then be used to inform decision-making.
6. Assess the cybersecurity landscape, identify threats and vulnerabilities, and apply security controls to reduce the chances of cyber-attack by 50%.
Entry Requirements
This programme is suitable for participants working/ intending to work in all industries, especially in technology and finance industry. Prior knowledge in software and application knowledge, or programming and development knowledge will be an advantage.