Introduction to Generative AI
Unlock the potential of Generative AI with foundational knowledge on its principles, history, applications, and future. Prepare for a tech-driven world and enhance your professional skills.
Skills and knowledge you will gain after completing this course:
Define Core Principles: Explain the fundamental concepts and working mechanics of Generative AI.
Trace Evolution: Describe the history and pivotal innovations that led to today’s advanced models.
Differentiate Models: Distinguish between various Generative AI models and their specific functions.
Identify Applications: Spot real-world use cases where Generative AI is driving industry-wide transformation.
Analyse the Future: Evaluate emerging trends and the ethical implications of this rapidly evolving technology.
What is Generative AI
The History of Generative AI
Types of Generative AI Models
Real-World Applications of Generative AI
The Future of Generative AI
Workers with advanced AI skills are now commanding wage premiums up to 56% higher than their peers in the same roles. In an era where 1 in 4 jobs is exposed to Generative AI, being "AI literate" isn't just an advantage—it's a financial necessity.
Traditional AI is generally used to analyse data and make predictions based on patterns. Generative AI goes a step further by using those patterns to create entirely new and original content, such as text, images, or even protein sequences.
Absolutely not. While it excels at writing and design, it is also revolutionising sectors such as healthcare drug discovery, finance, automated reporting, and software engineering code generation.
While powerful, these models can "hallucinate" or provide incorrect information. This course highlights why human oversight and independent verification are critical when using AI tools.
No. All you need is an up-to-date web browser and a broadband connection to access our flexible online training platform.
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