Prompt Engineering with Llama 2 & 3

About this course

Prompt Engineering with Llama 2 & 3 teaches you how to write better prompts specifically for Meta's open-source Llama models. Created by DeepLearning.AI, a trusted source for hands-on AI education, this course focuses on practical techniques like chat formatting, preparing models for fine-tuning, and handling multi-turn conversations. Whether you're building chatbots or exploring how to get the best results from Llama models, you'll learn the exact patterns and tricks that work.

What you'll learn

• Master prompt formatting and structure for Llama 2 and Llama 3 models
• Design multi-turn conversations that stay coherent and on-topic
• Prepare and structure data for fine-tuning Llama models on custom tasks
• Apply system prompts and role-based instructions to shape model behavior
• Avoid common pitfalls when working with open-source language models
• Build practical applications using Llama's chat and instruction-following capabilities
• Understand the differences between Llama 2 and Llama 3 and how to adapt your approach

Who this is for

This course is for anyone interested in working with open-source AI models, from complete beginners to developers exploring alternatives to closed-source APIs. If you want hands-on control over your AI tools and a deeper understanding of how prompts shape model outputs, this is your starting point.

• Students — build a practical AI portfolio project and understand how open-source models actually work
• Developers — learn to integrate Llama models into applications with cleaner, more predictable outputs
• AI enthusiasts — go beyond chat interfaces and understand the mechanics of prompt engineering

Prerequisites

None — this course is beginner-friendly. No coding or prior AI experience required, though basic familiarity with using chatbots is helpful.

Why this matters for Indian learners

Open-source AI models like Llama are becoming essential in India's growing AI startup and software engineering ecosystem. Companies building chatbots, customer support automation, and content systems increasingly prefer open-source options for cost control and data privacy—skills that are directly hiring in Bangalore, Hyderabad, and Delhi's tech hubs. Learning prompt engineering for Llama models makes you competitive for roles in AI startups, software companies, and consulting firms that can't always rely on expensive proprietary APIs.

Frequently asked questions

Is this course really free?

Yes, completely free. No hidden costs, no paid certificate option—just open access to all course materials from DeepLearning.AI.

How long will it take to complete?

About 1 hour of video content. You can finish it in one sitting or break it into two 30-minute sessions. Plan an extra hour or two if you want to experiment with prompts alongside the lessons.

Will I get a certificate?

This course doesn't offer a certificate. But the skills are real and portfolio-worthy—try building a small project with Llama to showcase what you've learned.