HIGH-IN-DEMAND SKILL • TRACK 2

Free Prompt Engineering Courses & Guides

Master the art and science of communicating with Large Language Models. Learn systemic prompting frameworks, chain-of-thought reasoning, and few-shot calibration. 100% free verified access.

OPENAI & DEEPLEARNING.AI • 100% FREE

ChatGPT Prompt Engineering for Developers

⏱️ 1-2 Hours • 💻 Jupyter Code Labs • 🏆 Official OpenAI Partnership

Taught by Isa Fulford (OpenAI) and Andrew Ng. Learn the two fundamental prompting principles, how to summarize, infer sentiments, transform languages, and build a custom customer-service chatbot.

Access Free on DeepLearning.AI ↗

VANDERBILT UNIV • FREE AUDIT

Prompt Engineering for Generative AI

⏱️ 18 Hours • 🎓 Vanderbilt University • 📜 Free Audit Available

Comprehensive university-level course taught by Dr. Jules White. Explores formal prompt patterns (Cognitive Verifier, Flipped Interaction, Meta-Language) to unlock higher LLM intelligence.

Audit Free on Coursera ↗

OPEN SOURCE • 100% FREE

Learn Prompting Open Curriculum

⏱️ Self-Paced • 🌐 2M+ Global Learners • 🛡️ Security & Defense

The world's largest open-source curriculum on prompt engineering. Covers basic to advanced topics, reliability, adversarial prompt injection defense, and automated evaluation frameworks.

Read Free Interactive Guide ↗

GOOGLE CLOUD • 100% FREE

Google Cloud Prompting Essentials

⏱️ 2-3 Hours • 🌐 Google Cloud Skills Boost • 🚀 Hands-on Labs

Learn how to craft high-performing prompts on Vertex AI and Gemini models. Master temperature, top-k, top-p, few-shot tuning, and multimodal prompt chaining with images and video.

Start on Google Skills Boost ↗

⚡ 4 Essential Prompt Engineering Techniques Covered in These Courses

1. Role & Persona Prompting

Establish context, tone, constraints, and operational rules before the user prompt is processed.

2. Few-Shot Demonstration

Provide 2-3 high-quality input/output pairs in the prompt to dramatically improve model accuracy.

3. Chain-of-Thought (CoT)

Add 'Think step by step' or provide reasoning demonstrations to break down complex multi-hop problems.

4. Structured JSON Output

Instruct the LLM to output valid JSON with explicit schema definitions for programmatic parsing.

Prefer Video Learning?

Deepen your understanding with video walkthroughs from Andrej Karpathy, 3Blue1Brown, and top researchers.

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