Intermediate · Data & AI

Prompt Engineering for Professionals

Get dependable, review-ready output from LLMs at work — reusable patterns, evaluation, and prompts you can ship into real workflows.

5 chapters14 lessons2 hr 4 min14 quick checks

How this course works

The chapters and lessons below are the fixed course structure. When you start, LearnLive teaches each lesson interactively and adapts examples, pacing, and questions to you.

Complete syllabus

Every chapter and lesson

  1. 01

    Chapter 1 · 3 lessons

    How LLMs Behave at Work

    1. 1.1

      Tokens, context & why phrasing matters

      8 min · Quick check

    2. 1.2

      Instruction-following vs. completion

      9 min · Quick check

    3. 1.3

      Failure modes that cost you

      8 min · Quick check

  2. 02

    Chapter 2 · 3 lessons

    The Anatomy of a Production Prompt

    1. 2.1

      Role, task, context, format

      10 min · Quick check

    2. 2.2

      Few-shot examples from your domain

      9 min · Quick check

    3. 2.3

      Constraints, tone & guardrails

      8 min · Quick check

  3. 03

    Chapter 3 · 3 lessons

    Patterns for Real Tasks

    1. 3.1

      Step-by-step reasoning

      9 min · Quick check

    2. 3.2

      Decompose & chain

      9 min · Quick check

    3. 3.3

      Structured output for pipelines

      8 min · Quick check

  4. 04

    Chapter 4 · 3 lessons

    Review, Evaluation & Quality Control

    1. 4.1

      Self-critique & revision

      9 min · Quick check

    2. 4.2

      Grounding in your own sources

      10 min · Quick check

    3. 4.3

      Evaluating outputs at scale

      9 min · Quick check

  5. 05

    Chapter 5 · 2 lessons

    Shipping Prompts Into Your Workflow

    1. 5.1

      Templates & variables

      9 min · Quick check

    2. 5.2

      Versioning & iterating safely

      9 min · Quick check

Ready to begin?

Open the course and choose the tutor who will teach it with you.

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