Certified AI Practitioner
About This Course
This course offers a comprehensive introduction to the fundamental concepts and terminologies of AI, machine learning, and generative AI, covering key applications and real-world use cases across various industries. Participants will learn about design considerations for foundation models, model training and fine-tuning techniques, and the importance of prompt engineering in generative AI.
The course also addresses evaluation criteria for assessing model performance, principles of responsible AI, and security and compliance issues related to AI systems. By the end of the course, participants will be equipped with the knowledge and skills to apply these technologies responsibly and effectively, ensuring ethical considerations and robust security measures are in place.
What You'll Learn
1. Define Key Concepts: Articulate the fundamental concepts and terminologies of AI, machine learning, and generative AI.
2. Analyse and Apply Use Cases: Identify, evaluate, and implement real-world applications of AI, machine learning, and generative AI across various industries.
3. Design and Optimise Models: Apply best practices for designing, training, fine-tuning, and optimizing foundation models.
4. Engineer Effective Prompts: Develop skills in prompt engineering to enhance generative AI outputs.
5. Ensure Responsible and Secure AI: Integrate ethical considerations, ensure security, and adhere to compliance standards in AI system development and deployment.
Entry Requirements
A background in IT is not necessary but preferable. This course is designed to cater to the intricacies of data science, data engineering and AI. Hence, individuals with a background in these disciplines bring valuable prior knowledge that will enhance their learning experience and understanding of the curriculum.
Applicants will be required to undergo a shortlisting process where they must share their résumé and complete a pre-course assessment. Our instructors and career consultants will review applicants to assess their suitability before deciding whether to shortlist them for the course.