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Generative AI is transforming how content is created, and this course offers a comprehensive introduction to this cutting-edge technology. You'll gain a foundational understanding of AI, machine learning, deep learning, and how Generative AI is applied in diverse fields such as text, image, and video generation.
As you progress, you will dive into the technical foundations, including neural networks, large language models (LLMs), and self-supervised learning. The course progresses step-by-step, with a focus on practical knowledge and real-time applications, helping you not only understand concepts but also gain hands-on experience.
This course is suitable for beginners with no prior technical knowledge in AI. It walks you through the basics, from machine learning to deep learning and the workings of Generative AI. Each section of the course builds upon the previous one, ensuring a smooth learning experience. You’ll also explore the limitations and ethical considerations of using AI, preparing you for a balanced perspective in the field. The course is designed for those curious about the potential and limitations of Generative AI in both creative and professional contexts.
By the end of the course, you will be able to understand core AI concepts, apply machine learning techniques, work with Generative AI models, and implement them across various creative use cases, including text and image generation.
In this module, we will introduce you to the world of Generative AI, explaining what you can expect to learn throughout the course. You will get an overview of the topics covered, providing a solid foundation for understanding AI, its history, and its present-day applications.
In this module, we will explore the fundamental building blocks of AI, including machine learning and deep learning, and see how they all come together to power advanced AI technologies. You will learn about the historical context and current applications of AI, with a special focus on Generative A…
In this module, we will introduce you to the world of machine learning, covering its foundational principles, tasks, and applications. You’ll also learn how machine learning models are trained using data and feedback, providing you with a strong understanding of the processes that drive AI systems.
In this module, we will explore the technologies powering Generative AI, focusing on neural networks, deep learning architectures, and large language models (LLMs). You’ll gain insights into the cutting-edge methods like self-supervised learning, which enhance AI models' ability to generate content…
In this module, we will delve into the key challenges and limitations of Generative AI, including its sensitivity to prompts and the impact of its non-deterministic nature. We’ll explore common issues such as AI hallucinations, lack of common sense, and how bias and fairness concerns can affect mod…
In this module, we will showcase the versatile applications of Generative AI, from content creation to enhancing AI-based apps. You’ll learn how to harness the power of Generative AI for generating text, images, and other media, as well as how to implement it for tasks such as code generation and i…
In this final module, we will recap all the key concepts covered in the course, helping you to connect the dots and solidify your understanding of Generative AI. You will also receive encouragement to continue your learning journey and explore new areas of AI as you apply your newfound knowledge.
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