Deep Dive into AI Systems
Go deeper into neural networks, large language models, and AI system design. Learn to evaluate AI tools critically and understand the engineering behind modern AI.
Prerequisites: AI Branches
Intermediate learners ready for technical depth
Neural networks explained simply โ biological vs artificial neurons, layers, training, backpropagation, activation functions, and the difference between CNNs, RNNs, and Transformers. No maths required.
โฑ๏ธ 4 min readLearn prompt engineering from scratch โ what it is, why it matters, 5 key techniques with practical examples, common mistakes to avoid, and the best tools to practise with.
โฑ๏ธ 4 min readGenerative AI explained simply โ what it is, how it works (LLMs, diffusion models, GANs), real-world examples like ChatGPT and DALL-E, use cases, limitations, and how to learn it free.
โฑ๏ธ 4 min readAI Canopy is an intermediate-level program. We recommend completing AI Branches first, as Canopy dives deeper into neural networks, large language models, and AI system design.
Expect to spend 5โ6 hours on AI Canopy. The technical depth requires more time for comprehension, but every concept is explained with clear visuals and examples.
Yes! AI Canopy covers how large language models work, including the transformer architecture that powers ChatGPT, GPT-4, and similar models. You'll also master prompt engineering techniques.
No programming is required, though having basic technical literacy helps. We explain neural networks and LLMs conceptually with diagrams and interactive visualisations.
Yes! A personalised certificate is available upon completion of all lessons. It demonstrates your understanding of advanced AI concepts.
Prompt engineering is the skill of writing effective instructions for AI models like ChatGPT. It's one of the most in-demand skills in the AI era, and AI Canopy dedicates multiple lessons to mastering it.
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Understand the three major deep learning architectures and why transformers came to dominate modern AI.