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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this beginner-friendly course, you'll embark on a structured journey through the exciting world of Machine Learning (ML). Starting with foundational concepts such as the rise of Artificial Intelligence (AI) and its real-world applications, you will explore essential ML terminology and techniques. The course provides a solid understanding of various machine learning models and their functions, including supervised learning, unsupervised learning, reinforcement learning, and classification. As you move forward, you’ll dive into the magic behind generative AI, examining artificial neural networks, deep learning, and large language models (LLMs). You’ll also get a closer look at how generative AI is transforming industries by creating text, images, and even code. Throughout the course, you will engage with practical examples and use cases, learning how AI can be applied to real-world scenarios such as brainstorming, summarization, and code generation. The course also highlights key challenges and limitations of AI, such as bias, hallucinations, and data privacy concerns, ensuring that you gain a well-rounded understanding of both the potential and the limitations of AI technologies. This course is ideal for those starting their journey in Machine Learning and AI, with no prior experience required. It is especially useful for anyone interested in how generative AI can be applied across various fields. With its hands-on approach and clear explanations, the course gradually introduces you to the exciting and ever-evolving world of AI. By the end of the course, you will be able to understand fundamental machine learning concepts, implement basic ML models, navigate AI challenges, and apply generative AI in creative ways.