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Practical Deep Learning for Coders (fast.ai)vsMicrosoft Azure AI Fundamentals (AI-900) prep

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

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.

MS
Microsoft Learn

Microsoft Azure AI Fundamentals (AI-900) prep

The free prep path for AI-900 — Microsoft's foundational AI certification. Covers Azure AI services (Cognitive Services, Azure OpenAI, vision, language) at a vocabulary-building depth. Free to learn; $99 to take the exam. Worth it for non-engineers at Azure shops who need a cert; skippable for engineers who don't care about Azure-specific signal.

Side-by-side

DimensionPractical Deep Learning for Coders (fast.ai)Microsoft Azure AI Fundamentals (AI-900) prep
Providerfast.aiMicrosoft Learn
Editorial tierCuratedListed
LevelIntermediateBeginner
Formatself pacedself paced
Duration~70 hours (8 lessons + projects)~20-25 hours
PricingFreeFree
InstructorJeremy Howard & Sylvain Gugger — Founder fast.ai; Hugging Face research engineerMicrosoft Learn team — Microsoft
RatingNo public ratingNo public rating
Topicsllm fundamentals, fine tuning, computer visionllm fundamentals, ai for business, computer vision
Last verified2026-05-232026-05-24

Pros & cons

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
Microsoft Azure AI Fundamentals (AI-900) prep
Pros
  • +Free, structured prep for a recognized cert
  • +Foundational vocabulary works even outside Azure
  • +Microsoft Learn platform is well-built
Cons
  • −Azure-specific — recognition outside Microsoft partner ecosystem is limited
  • −Cert exam costs $99 separately
  • −Foundational only — not engineering-grade

Which course is for whom?

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
Microsoft Azure AI Fundamentals (AI-900) prep
Best for
  • · Non-engineers at Azure-heavy enterprises needing a cert
  • · Career-switchers wanting an accessible first AI credential
Not ideal for
  • · Engineers wanting hands-on building — wrong scope

Editor's short verdict

Take Microsoft Azure AI Fundamentals (AI-900) prep first if you're new to the topic; once you have the basics, Practical Deep Learning for Coders (fast.ai) is the natural next step. They're complementary in a learning path, not directly competing.

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Practical Deep Learning for Coders (fast.ai) vs Microsoft Azure AI Fundamentals (AI-900) prep (2026): which course wins? · AI Agent Rank