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6 courses matching “llm”

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Abstract cover artwork for Transformers and Attention, Implemented Line by Line, a Deep Learning course Deep Learning
Deep Learning advanced

Transformers and Attention, Implemented Line by Line

Build a transformer from scratch: scaled dot-product attention, multi-head projections, positional encodings, KV caching and the modern variants (RoPE, grouped-query attention, RMSNorm) that make inference cheap. You will train a small model, profile it, and understand precisely where the FLOPs go.

HT Hiroshi Tanaka 4.9

$109.00

17 hours

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Abstract cover artwork for Evaluation-Driven LLM Development, a Agentic AI course Agentic AI
Agentic AI advanced

Evaluation-Driven LLM Development

Shipping an LLM feature without an eval suite is shipping a rumour. Build golden datasets from production traffic, write graders that correlate with human judgement, and wire regression gates into CI so a prompt change cannot quietly degrade quality.

MA Marta Alves 4.8

$99.00

12 hours

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Abstract cover artwork for Fine-Tuning LLMs with LoRA and QLoRA, a Deep Learning course Deep Learning
Deep Learning advanced

Fine-Tuning LLMs with LoRA and QLoRA

Adapt a large model on a single GPU. Parameter-efficient fine-tuning, 4-bit quantisation, dataset curation and formatting, catastrophic-forgetting mitigation, and evaluation that detects when your tune made the model worse at everything else. Includes the decision framework for fine-tune versus RAG versus prompt engineering.

AR Ahmed Rahal 4.8

$119.00

13 hours

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Abstract cover artwork for Agentic RAG: Retrieval That Reasons, a Agentic AI course Agentic AI
Agentic AI intermediate

Agentic RAG: Retrieval That Reasons

Naive RAG retrieves once and hopes. Agentic RAG grades what it retrieved, rewrites the query when results are thin, and decides when it has enough context. Covers relevance grading, query rewriting loops, hybrid dense plus keyword retrieval, reciprocal rank fusion and LLM-as-judge re-ranking, with honest evaluation of when each technique actually helps.

DO Daniel Okafor 4.8

$79.00

10 hours

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Abstract cover artwork for LLM Observability with LangSmith, a Agentic AI course Agentic AI
Agentic AI intermediate

LLM Observability with LangSmith

You cannot debug what you cannot see. Instrument agent runs with distributed tracing, attach custom metadata and tags so runs are filterable, build evaluation datasets from production traffic, and set up regression tests that catch quality drops before users do. Includes selective tracing so your traces stay signal, not noise.

MA Marta Alves 4.6

$59.00

6 hours

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Abstract cover artwork for Prompt Engineering for Structured Output, a Agentic AI course Agentic AI
Agentic AI beginner

Prompt Engineering for Structured Output

Getting reliable JSON out of a language model is an engineering problem, not a prompting trick. Schema-first prompt design, defensive parsing, repair loops, grammar constraints and validation with Pydantic. You will build a pipeline that survives the model wrapping its answer in prose or a code fence.

MA Marta Alves 4.5

$39.00

5 hours

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