The AI+ Everyone course offers a comprehensive journey through the landscape of artificial intelligence, covering fundamental principles, technological advancements, real world applications, project workflows, ethical considerations, generative AI, and preparation for an AI-driven future. Participants gain insights into diverse AI technologies and their practical implications across industries, alongside discussions on ethics and societal impact. The course culminates with practical guidance for starting with AI, providing resources for further exploration. Overall, participants are equipped with a holistic understanding of AI, empowering them to navigate its opportunities and challenges in today's rapidly evolving technological landscape.
Upon successful completion AI+ Everyone certification programme, participants receive a recognized certification validating their proficiency in artificial intelligence. This certification serves as a testament to their comprehensive understanding of AI principles, practical skills in AI technologies, and ethical considerations. With this certification, participants demonstrate their readiness to contribute effectively to AI projects across industries, opening doors to new career opportunities and advancement in the rapidly evolving field of artificial intelligence.
Prerequisites
- Foundational understanding of computer science concepts, including programming, algorithms, and data structures.
- Familiarity with mathematical concepts such as linear algebra, calculus, and probability theory
- Strong critical thinking and problem-solving skills
- Proficiency in data analysis techniques and tools, including data cleaning and visualization
- Awareness of ethical principles and societal implications in technology
- Curiosity and openness to learning new concepts and technologies
Exams
- Number of Questions: 50
- Passing Score: 35/50 or 70%
- Duration: 90 Minutes
- Format: Online via AI Proctoring platform
- Question Type: Multiple Choice/Multiple Response
Exam Overview:
- Introduction To Artificial Intelligence (AI) - 10%
- AI Technologies - 10%
- AI in Action: Applications And Case Studies - 10%
- The Workflow of AI Projects - 12%
- Ethics And Social Implications Of AI - 15%
- Generative AI And Creativity - 15%
- Preparing For An AI-driven Future - 15%
- Starting With AI: First Steps And Resources - 13%