Llama models offer a powerful, flexible solution. This free AI course will cover everything you need to master Llama models and their tools. We’ll dive into prompt engineering, coding, and AI application security with both Llama 2 and Llama 3.
By the end, we’ll have the expertise to build advanced AI-driven systems that boost productivity and spark creativity.
What You Will Learn in This Free AI Course
In this free Llama 2 & 3 prompt engineering AI course, you will learn how to:
- Effectively use Llama 2 and Llama 3 models for various tasks, including coding, text generation, and chat applications.
- Apply advanced techniques like few-shot prompting and zero-shot prompting to get more accurate results from the models.
- Master the correct prompt format for Llama 3 and explore how to use few-shot prompts for improving model responses.
- Build a multi-turn chatbot that can manage complex user interactions.
- Utilize Code Llama for coding tasks, debugging, and optimizing your code.
AI Course Breakdown
This AI course is divided into four parts. Each part builds on the previous one to help you master Llama models and tools.
Part 1: Introduction to Llama Models
We’ll start by exploring Llama 2 and Llama 3 models. It includes variants like base models, chat models, and Code Llama. We’ll also dive into how to use few-shot prompts with Llama 3 to improve model accuracy.
Key concepts include:
- Differences between few-shot and zero-shot prompting.
- How to structure your prompt format for Llama 3.
- Practical examples of using Llama 3 for both simple and complex tasks.
Part 2: Building with Llama 2 API and a Multi-Turn Chatbot
This part of our Free AI Course on prompt engineering for Llama 2 & 3 will focus on how to set up the Llama 2 API. We’ll also create a multi-turn chatbot to handle complex, multi-step conversations.
In this part, we cover:
- Setting up helper functions for seamless API calls.
- Building a chatbot using few-shot prompting for improved conversation flow.
- Adjusting temperature settings and token limits for greater control over model responses.
Part 3: Prompt Engineering and Comparing Llama Models
This part of our course focuses on advanced prompting techniques to make the most of Llama models. We’ll learn:
- How to use few-shot prompting with Llama 3 to handle complex tasks.
- Different prompt formats for Llama 3, ensuring optimal model performance.
- Role prompting to shape model responses in specific tones and styles.
We’ll also compare the performance of different Llama models (7B vs. 70B parameters) on tasks like sentiment analysis, summarization, and reasoning.
Part 4: Mastering Llama Tools–Code Llama, Llama Guard, and the Llama Helper Function
In the final section, we’ll explore powerful Llama tools such as Code Llama for coding, Llama Guard for ensuring safe outputs, and the Llama Helper Function for streamlining API interactions. By the end of this section, we’ll be able to:
- Write, debug, and optimize code using Code Llama.
- Ensure safety and security in our AI models with Llama Guard.
- Simplify development workflow with the Llama Helper Function.
Course Prerequisites and Required Skills
To make the most of this course, the following skills are recommended:
- Basic understanding of programming: Familiarity with Python will help us follow along with the coding examples.
- Knowledge of AI and machine learning models: Understanding how language models like GPT work will make it easier to grasp the functionality of Llama models.
- Experience with APIs: Knowing how to set up and interact with APIs will be beneficial when working with the Llama 2 API.

Frequently Asked Questions (FAQs)
Is This AI Course Free?
Yes, this is a 100% Free AI Course! You can access all the content without any charges.
Do I Need Prior Experience to Take This Course?
Yes, basic Python knowledge is required. However, this course is designed for both beginners and those familiar with AI development.
Will I Get a Certificate Upon Completion?
Currently, we do not offer certificates.
What Is a Few-Shot Prompt?
A few-shot prompt gives the model a few task examples to improve its understanding and performance.
How do I Use a Few-Shot Prompt with Llama 3?
You can use few-shot prompts with Llama 3 by including examples in the prompt. It guides the model to produce more accurate, context-aware responses.
What is the Best Prompt Format for Llama 3?
The ideal prompt for Llama 3 includes clear instructions and examples, with tone, style, or role specified for complex tasks.
How Does Code Llama Help with Coding?
Code Llama enhances coding by providing AI-driven code generation, autocompletion, and debugging support across multiple programming languages. It leverages large language models to suggest relevant code snippets and optimize developer workflows, speeding up the coding process.
Can I Use Llama Models for Free?
Yes, Llama models are available as part of Meta’s open-source initiative.
What is Advanced Prompting?
Advanced prompting aims to fine-tune model responses for complex tasks. It uses techniques like few-shot and role prompting and adjusts parameters like temperature and token limits.
How do I Set up The Llama 2 API?
You can easily set up the Llama 2 API by following the documentation. It integrates it into your development environment and uses helper functions to streamline API calls.
What is Llama Guard?
Llama Guard is an AI tool that filters out harmful or unsafe content in user inputs and model outputs. Essentially, it ensures the safety of your AI applications.
What Makes Llama Models Different from Other AI Models?
Llama models are open-source and provide flexible, customizable tools for various applications. What sets them apart is their ability to be fine-tuned for specific tasks. This offers efficient performance even on smaller hardware.
Final Thoughts
Llama models and tools offer exceptional capabilities, from content generation to coding assistance and ethical safety measures. You can build robust, versatile AI applications tailored to your specific needs by mastering these tools.
Enough talking. Let’s get started.
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