Course Description
Why study artificial intelligence and generative AI?
- Generative AI is a rapidly growing field with the potential to revolutionize many industries and aspects of our lives. It is a type of artificial intelligence that can create new content, such as text, images, music, and code, from scratch. Generative AI models are trained on large datasets of existing data, and they learn to identify the patterns and structures within that data. Once trained, generative AI models can be used to generate new content that is similar to the data they were trained on but also unique and original.
- Here are a few reasons why you should study generative AI:
- Generative AI is a powerful tool for creativity and innovation. Generative AI models can be used to create new and innovative products, services, and experiences. For example, generative AI can be used to create new designs for fashion, furniture, and architecture. It can also be used to create new forms of art and entertainment.
- Generative AI can be used to automate tasks and improve productivity. Generative AI models can be used to automate tasks such as writing, coding, and designing. This can free up human workers to focus on more creative and strategic tasks.
- Generative AI can be used to solve complex problems. Generative AI models can be used to solve complex problems in a variety of fields, such as healthcare, finance, and manufacturing. For example, generative AI can be used to develop new drugs and treatments, to create more efficient financial models, and to design more efficient manufacturing processes.
- Overall, generative AI is a powerful and versatile technology with the potential to revolutionize many industries and aspects of our lives. If you are interested in a career in AI or in using AI to solve real-world problems, I encourage you to study generative AI.
Why should attend?
Artificial intelligence (AI) and generative AI are some of the most transformative technologies of our time.
Here are a few reasons why you should attend the AI for Everyone course:
- To learn about the basics of AI. The course will cover the history of AI, the different types of AI systems, and how AI systems are trained and deployed. You will also learn about common AI applications.
- To learn how to communicate about AI. AI is a complex topic, but it is important to be able to communicate about it effectively to both technical and non-technical audiences. The course will teach you how to explain AI concepts in a clear and concise way.
- To develop the skills and knowledge you need to succeed in an AI-powered world. AI is transforming many industries, and it is important to have the skills and knowledge you need to thrive in this new environment. The AI for Everyone course will give you the foundation you need to build a career in AI or to use AI to improve your current job.
- Overall, the Power of AI course is a great way to learn more about AI and its potential impact on society. Whether you are interested in a career in AI or you simply want to be more informed about this powerful technology.
Course objectives:
Upon completion of this course, you will be able to:
- Define and explain key AI concepts and terminology, including machine learning, deep learning, and natural language processing.
- Describe the different types of AI systems and how they work.
- Identify and understand the ethical and societal implications of AI.
- Apply generative AI tools and applications
In addition to these specific objectives, the course also aims to:
- Empower everyone to become a more informed and engaged person in the age of AI.
- Help participants develop the skills and knowledge they need to succeed in an AI-powered world.
- Inspire participants to pursue careers in AI and related fields.
What is the next step in an artificial intelligence diploma?
Level 2 : Python & Statistics For Data Science & Artificial Intelligence
Level 3 : Machine Learning & Artificial Intelligence Models
TERMS AND CONDITIONS
CERTIFICATE OF COMPLETION
To have successfully completed; a trainee should:
- have an attendance rate of not less than 80% (or such higher attendance requirement as prescribed for the course);
- Pass the course practical assessments and projects in at least 75% of the total number of assignments as required in each training course
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