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Details

This is a highly interactive bootcamp — your questions are answered within 24 hours, and the whole program is built to prepare you thoroughly for the exam and give you the best shot at the certification.

A live, 4-weekend bootcamp built to prepare you for the AWS Certified AI Practitioner exam (AIF-C01) — AWS's foundational credential covering AI/ML fundamentals, generative AI, foundation models, and responsible AI.

Eight 90-minute working sessions, held Saturday and Sunday evenings across four weekends. Each session is interactive: we work through the exam's domains, unpack the concepts people most often trip on, and look at how the questions are actually framed so your prep stays targeted.

Scheduleall sessions 7:00 PM ET, 90 minutes, live on Zoom
Weekend 1 — AI, ML & deep learning fundamentals

  • Session 1 · Sat, Feb 6 — AI & ML foundations: core terminology, types of ML, the ML lifecycle
  • Session 2 · Sun, Feb 7 — Deep learning essentials: neural networks and where DL fits

Weekend 2 — Generative AI, foundation models & prompt engineering

  • Session 3 · Sat, Feb 13 — Generative AI & foundation models: what they are and how they work
  • Session 4 · Sun, Feb 14 — Prompt engineering: techniques, patterns, and common pitfalls

Weekend 3 — The AWS AI/ML stack

  • Session 5 · Sat, Feb 20 — Amazon Bedrock and the managed AI services
  • Session 6 · Sun, Feb 21 — Amazon SageMaker and the ML workflow on AWS

Weekend 4 — Responsible AI & exam readiness

  • Session 7 · Sat, Feb 27 — Responsible AI, security, and governance
  • Session 8 · Sun, Feb 28 — Exam strategy: question framing, pacing, and full review

Who it's for
Anyone preparing for the AIF-C01 exam. No prior AWS or coding experience required — suitable for developers, analysts, PMs, and career-switchers building AI literacy.
Details

  • 8 live sessions · ~12 hours total instruction
  • $350 per person for the full bootcamp
  • Small group; questions welcome throughout, we will have a teaching assistant manage the Class;

Bring your questions and something to take notes with.

Related topics

Artificial Intelligence
STEM
Software Development
Computer Science

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