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AWS Generative AI Learning PlanvsPractical Deep Learning for Coders (fast.ai)

Side-by-side comparison on level, duration, pricing, instructor, tier. Editor verdict on which course wins for which buyer.

AWS
AWS Training

AWS Generative AI Learning Plan

AWS's free learning path for engineers building on Bedrock. Covers the AWS-specific patterns (Bedrock, SageMaker, Knowledge Bases for RAG, Bedrock Agents) plus general LLM/RAG concepts. Free, vendor-locked, useful only if your stack is AWS. The AI Practitioner cert ($100) and ML Engineer Associate ($150) build on this learning plan; pair with our /learn/certifications page for the cert side.

fast.ai
fast.ai

Practical Deep Learning for Coders (fast.ai)

The defining contrarian course in ML education. fast.ai's top-down philosophy — train a working image classifier in lesson 1, understand the math by lesson 6 — works for some learners and frustrates others. We recommend it for engineers who learn by doing rather than by first principles. The course extends to LLMs in later lessons (Jeremy regularly updates), and the companion book ('Deep Learning for Coders with fastai and PyTorch') is genuinely the best paper book on practical deep learning. Free; the only cost is the 70-hour commitment. If Karpathy's Zero-to-Hero is too math-heavy, this is the alternative.

Side-by-side

DimensionAWS Generative AI Learning PlanPractical Deep Learning for Coders (fast.ai)
ProviderAWS Trainingfast.ai
Editorial tierListedCurated
LevelIntermediateIntermediate
Formatself pacedself paced
Duration~20-40 hours (modular)~70 hours (8 lessons + projects)
PricingFreeFree
InstructorAWS Training & Certification — AWSJeremy Howard & Sylvain Gugger — Founder fast.ai; Hugging Face research engineer
RatingNo public ratingNo public rating
Topicsllm fundamentals, fine tuning, rag systemsllm fundamentals, fine tuning, computer vision
Last verified2026-05-242026-05-23

Pros & cons

AWS Generative AI Learning Plan
Pros
  • +Free, comprehensive AWS-stack curriculum
  • +Direct prep for AWS AI Practitioner + ML Engineer Associate certs
  • +AWS Bedrock content is the deepest available for that platform
Cons
  • −AWS-locked — patterns don't transfer to GCP / Azure
  • −Some labs require small AWS spend ($5-20)
  • −Tier 3 because we list rather than personally vet every module
Practical Deep Learning for Coders (fast.ai)
Pros
  • +Top-down pedagogy — you ship working models from lesson 1
  • +Free, regularly updated, by one of the most respected practitioners in the field
  • +Excellent companion book if you prefer paper
Cons
  • −70 hours is a real ask
  • −Pedagogy is contrarian — some learners want first principles, not top-down
  • −Less LLM-focused than the field demands in 2026; deep-learning generalist

Which course is for whom?

AWS Generative AI Learning Plan
Best for
  • · Engineers at AWS-stack companies
  • · Anyone preparing for AWS AI certs
Not ideal for
  • · Non-AWS teams — wrong vendor focus
Practical Deep Learning for Coders (fast.ai)
Best for
  • · Engineers who learn by doing, not by deriving
  • · People who tried Karpathy's course and bounced off the math density
Not ideal for
  • · Anyone needing LLM-specific depth — this is broader deep learning
  • · Time-constrained learners — there are shorter paths

Editor's short verdict

Take Practical Deep Learning for Coders (fast.ai) first — it's our Tier-1 pick on this topic and the editorial confidence is higher. AWS Generative AI Learning Plan is a reasonable alternative if you've already taken or evaluated the Tier-1 option.

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AWS Generative AI Learning Plan vs Practical Deep Learning for Coders (fast.ai) (2026): which course wins? · AI Agent Rank