AI System Design
What is this course?
This course is a practical, interview-focused guide to designing real-world AI systems.
It goes beyond basic ML or coding and focuses on how modern AI applications are actually built at scale. You will learn how to design systems using LLMs, RAG pipelines, and agent architectures while handling real constraints like latency, cost, and reliability.
The content is structured the same way top companies expect candidates to think during system design interviews.
What you will learn
By the end of this course, you will be able to:
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Approach AI system design problems with a clear, structured framework
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Break down complex problems into components like model, retrieval, orchestration, and infrastructure
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Design LLM-based systems with proper context handling, prompting, and response pipelines
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Build end-to-end RAG systems with ingestion, retrieval, and optimization strategies
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Design agent-based systems with workflows, tools, memory, and control mechanisms
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Handle real-world production challenges like scaling, latency, cost, and reliability
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Think in trade-offs and justify design decisions clearly in interviews
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Solve real system design scenarios with confidence
How this course is structured
The course follows a step-by-step progression:
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Foundations → How to think about AI system design
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LLM Systems → Designing applications powered by large language models
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RAG Systems → Building retrieval-based architectures
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Agent Systems → Designing autonomous and multi-agent workflows
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Production Systems → Scaling, optimizing, and maintaining systems
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Real Scenarios → Solving actual interview-style system design problems
Each section focuses on practical thinking, trade-offs, and real-world constraints.
Who is this course for?
This course is ideal for:
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AI Engineers preparing for system design interviews
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Machine Learning Engineers working on LLM, RAG, or agent-based systems
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Backend Engineers transitioning into AI system design
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Anyone who wants to learn how to design and scale AI systems in production
Why this course stands out
Most resources focus on algorithms or theory.
This course focuses on:
How real AI systems are designed, scaled, and explained in interviews
You won’t just learn what to build.
You’ll learn how to think, structure, and communicate your design like a strong candidate.
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