We'll kick things off with a deep dive into what prompt engineering is and why it's crucial. You'll explore real-world applications, including case studies like how NASA leverages this technology. By the end of this section, you’ll have a solid understanding of how prompt engineering impacts various industries and why it matters in your career.
Section 2: Choose Your LLM
Like a spy choosing their gadgets, you’ll pick your preferred Large Language Model (LLM) to work with throughout the course. Whether you opt for a free or paid model, or even set up an open-source LLM locally, this section ensures you’re equipped with the right tools to succeed. We’ll walk you through demonstrations of top LLMs and help you set up your workspace.
Section 3: Guided Project - Build Your First Game (Snake Game)
Get ready to roll up your sleeves! Without diving into prompt techniques just yet, you’ll build your first game—the classic Snake Game. This project is strategically placed early on so you can get a feel for LLMs' intuitive nature, laying the groundwork for more advanced projects later.
Section 4: Unguided Project - Build Your Second Game (Tic-Tac-Toe with AI Opponent)
Now that you’ve had some guided practice, it’s time to fly solo. You’ll develop a Tic-Tac-Toe game with an AI opponent using your chosen LLM, allowing you to apply what you’ve learned so far in a more independent setting.
Section 5: How LLMs Work
To effectively work with LLMs, you need to understand their inner workings. This section breaks down complex concepts like the Transformer Model and the architecture behind GPT in a beginner-friendly way. You’ll also explore the training process and discuss the potential bridge to Artificial General Intelligence (AGI), arming you with knowledge to confidently engage in AI discussions.
Section 6: Our Prompting Framework
This section introduces a structured approach to prompt engineering. You’ll learn to craft detailed, comprehensive prompts using a framework designed for clarity and precision. Plus, you’ll gain access to our "Prompt Library," filled with practical examples to enhance your skills.
Section 7: Prompting Fundamentals - The Setup
Here, we’ll delve into the essentials of crafting effective prompts. Topics include understanding the 'System Message,' the importance of context, and using 'personas and roles' to refine tone and style. You’ll also engage in creative exercises, like writing a screenplay, to apply these concepts in real-world scenarios.
Section 8: Prompting Fundamentals - The Instruction
This section focuses on crafting clear and specific user messages that LLMs can interpret accurately. You’ll learn empirically-validated techniques such as zero, one, and few-shot prompting, as well as chain-of-thought prompting to achieve more coherent responses from AI.
Section 9: Guided Project - Create Your Own Career Coach
Take your skills to the next level by building a personalized Career Coach using a single, comprehensive prompt. This project integrates various modes, such as learning, quiz, and challenge modes, to create an interactive learning tool tailored to your needs.
Section 10: Prompting Fundamentals - The Output
This section teaches you how to manage and influence the model's responses after you hit 'enter.' You’ll learn to structure outputs, generate Excel files and flowcharts, and even explore advanced techniques like Jailbreaking and Prompt Injection.
Section 11: The OpenAI Playground & LLM Hyperparameters
Here, you’ll get hands-on with the OpenAI Playground, learning to adjust settings like 'Temperature,' 'Top P,' and 'Stop Sequences' to fine-tune your LLM’s behavior. This section is crucial for those looking to customize their AI's output to match specific tasks and preferences.
Section 12: Prompting with Autonomous Agents (AutoGPT)
Discover the future of AI with autonomous agents, which can accomplish tasks with minimal or no further prompting. You’ll learn to set up your own autonomous agent and use it for tasks like creating websites or developing Python programs, giving you a glimpse into the next frontier of AI.
Section 13: Using Open Source Models
Explore the growing world of open-source models, which are becoming increasingly competitive with their closed-source counterparts. You’ll learn to download and set up your own LLM locally, providing you with greater control and privacy in your AI interactions.
Section 14: Advanced Prompting Techniques
Dive into advanced prompting techniques backed by empirical research. This section is continually updated to include the latest discoveries, ensuring you’re always ahead of the curve in prompt engineering.
Section 15: Unguided Project - Build Your Third Game (Flappy Bird)
Put all your skills to the test by creating a more complex game: Flappy Bird. This project will challenge you to iterate on your prompts, showcasing just how powerful and versatile LLMs can be when used effectively.
Section 16: Prompt Testing & Model Evaluation
Master the art of prompt testing and model evaluation, crucial for ensuring the quality and reliability of your outputs. You’ll explore various grading methodologies and delve into research on the effectiveness of LLMs as judges, equipping you with the tools to fine-tune your AI interactions.
Unlimited Updates: Stay Ahead in the AI World
This course is a living, breathing resource that’s constantly updated to reflect the latest advancements in AI. As you grow in your career, you’ll always have access to the most current information and best practices.
The Bottom Line
This course is designed to push you from a beginner to the top 10% of LLM users. It’s not about watching endless tutorials; it’s about challenging yourself to apply your skills in practical, impactful ways. And with a 30-day money-back guarantee, there’s no risk—only the opportunity to future-proof your career. Ready to get started? Let’s dive in!