Generative AI (Artificial Intelligence – AI)
Course Description:
This course provides an in-depth exploration of generative artificial intelligence techniques, focusing on models and algorithms for generating new data samples across various domains. Students will learn about generative AI’s theoretical foundations, practical applications, and ethical considerations.
The student will learn how to create images, videos, content, stories, and virtual digital tasks using different AI tools.
It is a practical class, hands-on and requires the student have basic computing knowledge.
Course Objectives:
- Understand the fundamental concepts and principles of generative artificial intelligence.
- Gain practical experience in implementing and training generative models.
- Explore advanced topics in generative modeling, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models.
- Analyze the ethical implications and societal impact of generative AI technologies.
Picking up generative AI can benefit your career in many domains, such as:
Business
- Automation, improved decision-making, and productivity are some of how GAN can assist businesses.
- For example, it enhances customer understanding and focused market efforts through analysis of large datasets.
Education
- In education, generative AI can allow more information to be made available to educators.
- It also assists students with learning differences by providing personalized resources and support.
Software Development
- With the use of GAN, developers can write new code, finish unfinished codes, and even convert code from one language to another.
Customer Service
- Businesses can use such technologies for providing automated algorithms to enhance communication within customer support departments.
- Generative AI can also streamline workflows and provide instant, accurate responses to customer queries.
- Students will work on a final project applying generative AI techniques to solve a real-world problem or explore an advanced research topic.
- Project presentations and peer review.
Why you should learn AI:
AI is currently ruling the digital space. It’s a skill everyone interested in the digital space, must possess. It is redefining how work is done and who will be relevant in the workspace. AI has made work and task very simple and easier to achieve. A good knowledge of generative AI will greatly keep you relevant in the digital space, make work easier to accomplish and boost your career. Almost every field of work now requires the knowledge and tools associated with AI.
FEES: N100,000
8 weeks
Requirements
- Basic Computing Knowledge
- Laptop
