For those interested in technology and its impact on society, this course is the ideal introduction. Students will learn about artificial intelligence, big data, and their ethical implications. Using uCertify’s courses in AI, Big Data and AI Ethics, students explore how these technologies are applied in everyday life. Topics include machine learning, data analysis, automation, and responsible data use. The course also addresses important ethical issues such as privacy, bias, and fairness in AI systems.
At the end of this course, students will be able to:
- Define and explain core concepts of Artificial Intelligence and Big Data, including digital learning, algorithms, smart data, and data lakes.
- Identify and evaluate real-world applications of AI technologies, such as customer experience systems, virtual assistants, and multimedia recognition.
- Assess the role of algorithms in driving intelligent decision-making, both in business processes and consumer-facing technologies.
- Demonstrate how AI and Big Data technologies integrate, enabling capabilities like predictive analytics, smart automation, and scalable data processing.
- Analyze how AI is transforming modern industries and society, with attention to innovation, operational efficiency, and economic impact.
- Describe the technological ecosystem that supports AI, including data infrastructure, machine learning models, and contributions from major tech companies.
- Compare the contributions of AI startups across various sectors, such as finance, healthcare, HR, agriculture, law, etc.
- Evaluate the ethical, social, and political implications of AI, and propose approaches for developing fair, transparent, and sustainable AI solutions.
1. Foundational principles of Artificial Intelligence and Big Data, including key terms.
2. How AI is applied in various domains.
3. How algorithms influence modern data-driven environments and how they power intelligent systems in both business and consumer applications.
4. How AI and Big Data work together to enable advanced analytics, predictive modeling, and intelligent automation in various industries.
5. How Artificial Intelligence is reshaping industries and daily life, with a focus on its strategic role in business growth, innovation, and digital transformation.
6. Learn the core technologies that support AI and the role of major tech companies in driving AI development.
7. Investigate how AI startups are revolutionizing industries including finance, healthcare, human resources, law, fashion, and agriculture, through real-world case studies and applications.
8. Ethical, political, and social challenges of AI deployment, and explore future trends and scenarios in the development of responsible and sustainable AI.