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Are you curious about Artificial Intelligence and Machine Learning but feel overwhelmed by the technical jargon and complex mathematics? The Coursera course ‘AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps)’ is an excellent starting point for anyone eager to understand the fundamentals of AI without any prior experience. This course offers a clear, intuitive overview of how modern AI systems work, focusing on core concepts rather than coding or math. It begins by explaining what machine learning is, highlighting the differences from traditional programming, and explores various learning types such as supervised, unsupervised, and reinforcement learning. You will learn how models are built, evaluated, and refined, with easy-to-understand explanations of common algorithms like regression, decision trees, and neural networks. Moving forward, the course delves into Large Language Models (LLMs) like ChatGPT, explaining how they are trained, what tokens and parameters mean, and techniques like prompt engineering and retrieval-augmented generation (RAG) that enhance their capabilities. The final part introduces the emerging field of Agentic AI—systems capable of autonomous planning, reasoning, and action—covering agent architecture, memory, multi-agent collaboration, real-world tool integration, and ethical considerations. Whether you are a student, a professional, or simply AI-curious, this course provides the conceptual clarity needed to navigate the AI landscape confidently. I highly recommend this course for its accessible teaching style, comprehensive coverage, and practical insights into the future of AI.
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