[Opening Scene: Uplifting Music, Dynamic B-Roll of AI Use Cases, Coding Clips, and Engaged Learners]

Good morning! I’m Louis-Francois, CTO and Co-Founder of Towards AI, and I am excited to introduce our latest course—an 8-hour primer designed to help you best leverage the power of large language models. Whether you’re new to LLMs or want to understand how to use and build with them effectively, this course provides the perfect foundation.

[Cut to Clips of Course Content, Interactive Lessons, and Students Engaged]

This isn’t just another AI course. In just 8 hours, we’ll help you answer two critical questions:

1. why you should use LLMs and how to do so effectively, and
2. why and how you can develop with LLMs to build customized solutions and improve reliability.

[Instructor Speaking to Camera]

If you’ve ever wondered how tools like ChatGPT or Claude can enhance your workflows—or how LLMs can be customized to your application and industry to solve real-world problems—this course will give you the answers. You’ll explore practical examples and get a clear roadmap for how advanced LLM techniques like retrieval-augmented generation (RAG), fine-tuning, and prompt engineering can transform your work under the LLM developer umbrella. And while this is a primer course, it’s packed with actionable insights and tips to get you started immediately.

[Showcase Practical Applications and Examples]

We’ll show you hands-on techniques for using LLMs, like leveraging ChatGPT for business, writing smarter prompts, and even crafting custom chatbots. Alongside, we’ll demystify core developer skills—teaching you how to use and leverage APIs, customize foundational models, and provide a good overview of tools like LangChain, LlamaIndex, and Hugging Face. While we keep the coding very light in this course, we lay out a clear roadmap for how to expand these skills in your own projects. So, no, you do not need to know how to code to follow this course. There is no pre-requisite to taking this course other than motivation and willingness to learn.

[Transition to Student Projects and Use Cases]

Our focus is on building your understanding of LLMs in a way that’s immediately applicable. From understanding the strengths and limitations of LLMs to exploring their industry impact, you’ll come away with the knowledge to evaluate tools and techniques confidently and know what to use for your use case. Through domain-specific examples, we’ll show you how to apply LLMs across industries—from education and content creation to coding assistance and more.

[Clips of Engaged Students and Active Learning]

Active learning is at the core of what we do. You’ll build, experiment, and explore in this course. And while it’s less project-focused than our deeper courses, we emphasize how to approach challenges like improving LLM performance and designing robust solutions.

[Showcasing Industry Support and Community Engagement]

Our work at Towards AI has been recognized by industry leaders, and this course reflects the same expertise. You’ll join a thriving community of learners on our Learn AI Together Discord, where over 60,000 AI enthusiasts share insights, projects, and support. With personalized guidance and AI-powered tutors, you’ll never feel stuck.

[Call to Action: Students Showcasing Work, Sharing Success Stories]

So, what are you waiting for? Whether you’re looking to enhance your workflows, gain a deeper understanding of LLMs, or lay the groundwork for advanced AI development, this course is your next step.

Enroll today and join thousands of learners shaping the future with AI. And if you have any questions, feel free to reach out—I’m here to help you decide if this course is the right fit for your goals.

Have fun learning and experimenting!