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This course explains machine learning and modern AI without assuming any coding or math background. It covers how machine learning differs from traditional programming, the main types of learning, and how models are built and judged, then moves on to large language models and agentic AI.
Students, professionals changing direction and anyone curious about where AI is heading. Because it stays conceptual, it works better as a map of the field than as preparation for building models yourself.
Curious about Machine Learning and AI but not sure where to start?
This course is your perfect entry point.
"Machine Learning, LLMs & Agentic AI – A Beginner's Conceptual Guide" is designed to give you a clear, intuitive understanding of how modern AI works — without needing any coding or math background.
We start from the very basics, explaining what machine learning is, how it's different from traditional programming, and the types of learning like supervised, unsupervised, and reinforcement learning. You’ll also learn how models are built, evaluated, and improved, and get familiar with common algorithms like regression, decision trees, neural networks, and more — all explained in a way that’s easy to follow.
From there, we shift gears into the exciting world of Large Language Models (LLMs) like ChatGPT. You’ll learn how LLMs are trained, what tokens and parameters mean, and how techniques like prompt engineering and RAG (Retrieval-Augmented Generation) enhance performance.
Finally, we introduce you to the emerging field of Agentic AI — a major shift where AI systems can plan, reason, remember, and act autonomously. You’ll explore agent architecture, memory, planning, multi-agent collaboration, real-world tools, and the ethical challenges of deploying such systems.
Whether you're a student, a professional looking to upskill, or simply curious about the future of AI — this course will give you the conceptual clarity and confidence to take the next step in your learning journey.
By the end of this course, you will:
Understand core machine learning concepts and processes
Get familiar with popular ML algorithms and their purpose
Know how Large Language Models like ChatGPT work
Learn what makes Agentic AI different and powerful
Explore real-world tools and use cases for agents
Gain clarity on emerging trends like MLOps and AI ethics
No coding. No prior experience. Just clear, beginner-friendly explanations to help you confidently explore the world of AI.
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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