Full Stack LLM Developer Conversion in a Single Course!

Master the new skills top companies need and build your own working advanced LLM product

  • Build Your Advanced LLM Project

    From helping choose your own project through to deployment, you’ll gain hands-on experience building a real-world LLM product. This could become a portfolio project that gives you a competitive edge in the job market, a Minimum Viable Product for a startup idea, or the start of a new product at your company.

  • Land that LLM Developer Role

    The LLM Developer role is only 2-3 years old and there are no true experts yet. Build this skillset early and help lead the LLM revolution! Build your portfolio and walk into your next interview with the confidence that you can create, deploy, and manage Generative AI solutions at scale.

  • Widescale GenAI Adoption at Enterprise Needs Millions of LLM Developers

    LLM Pipelines are already creating new unicorns and $200m+ enterprise cost savings. But reliable LLM products that really boost productivity need lots of customisation and development on top of foundation LLMs. Products must be developed for specific industry niches, companies and use cases.

Industry Leaders on the Course

“This is the most comprehensive...to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.”

Jerry Liu, Co-founder and CEO of LlamaIndex

“A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.”

-Pete Huang, Co-founder of The Neuron

“An incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!”

Nick Singh, Founder of DataLemur.com & Author of Ace the Data Science Interview

“A comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[…]”

Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta

“It covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.”

Jeremy Pinto, Senior Applied Research Scientist at Mila

What’s Inside this 84-Lesson Course?

  • Hands-on Guide on LLMs, Prompting, RAG, Fine-tuning, and Tool Use

  • Learn the Full Skill Stack for LLM Development via an Advanced Project; from Data Collection Through to Testing Advanced Techniques and Deployment.

  • Practical Code Projects and Ready to Run Colab Notebooks

  • Learn the New Non Technical Entrepreneurial and Communication Skills Needed to Become a Great LLM Developer

  • Certification Upon Completion with Your Own Working LLM RAG Project

  • Instructor and Community Access for Learning and Support

Who Is This Course For?

This certification is for software developers, machine learning engineers, data scientists or computer science and AI students to rapidly convert to an LLM Developer role and start building

This course is for developers and engineers (senior and junior alike) ready to take their career to the next level by mastering AI and LLMs. Whether you’re looking to land an LLM Developer or AI Engineer role, lead innovative projects within your company, or even build and launch your own AI-powered startup, this course provides the roadmap. You’ll gain the hands-on experience to create, deploy, and manage advanced AI solutions, build an impressive portfolio, and even develop your own advanced LLM Product. With these skills, you can seamlessly transition into high-demand LLM and Generative AI roles, drive innovation in your current job, or turn your product ideas into reality—all within 50+ hours of focused learning.
Enroll Now!

Course Curriculum

    1. From Beginner to Advanced LLM Developer | The Towards AI Academy

      FREE PREVIEW

    2. Course Introduction and Scope: Why Become an LLM Developer?

      FREE PREVIEW

    3. Syllabus In-Depth

      FREE PREVIEW

    4. Course Logistics and Tools Guide

      FREE PREVIEW

    5. Why Prompt Engineering, RAG, Tools, and Fine-tuning?

    6. Understanding Large Language Models without Math or Code

    7. Understanding LLMs Part 2: New Kind of Intelligence, New Kind of Stupidity

    1. Introduction to Part 1: Core LLM Skills via Building our RAG AI Tutor

    2. How to make an API

    3. Introduction to LLMs and how to use via API

    4. To use a LLM or to not use it?

    5. Limitations and Weaknesses of LLMs

    6. Choosing your LLM; Metrics. Benchmarks. Closed or Open-source

    7. What is Prompting? Talking with AI Models...

    8. Prompting 101

    9. What is Prompt Injection? Can you Hack a Prompt?

    10. Building our AI Tutor System Prompt. Introducing Prompt Injection and Hacking

    11. Evaluating and Iterating Prompts

    1. What is RAG?

    2. RAG 101

    3. Building an OpenAI API chatbot without RAG

    4. Building your Knowledge Base for RAG

    5. Building a basic RAG pipeline from scratch

    6. Build an OpenAI GPT with our AI blog data

    1. Basic RAG with LlamaIndex

    2. How vector DBs work and when to use one

    3. Using a Vector Database

    4. Improving Data Sources and Prompts

    5. RAG Evaluations

    6. Evaluating your RAG Pipeline

    1. Security, Privacy & Cost; Comparing 5 key ways to access LLMs

    2. Using Llama 3.1 70B on Together.ai and comparing RAG performance

    3. Multimodal LLMs and Their Role in RAG Pipelines

    4. How to Select the Right Embedding Model for Your Use Case?

    1. Scraping Data from Websites

    2. Scraping via API with Firecrawl

    3. Perplexity Web API

    4. Web Search API

    5. Structuring Your Data: OpenAI Structured JSON Outputs

    6. Parsing Data with LlamaParse

    7. Choosing Data Sources and Building our AI Tutor Dataset

Course Highlights

  • 92 lessons
  • 0 hours of video content

Course Overview

  • Building Our AI Tutor

    Through 60 lessons, you'll learn core LLM development concepts. From Data Collection and Parsing to Prompt Engineering, Fine-Tuning and building and deploying a full Advanced RAG pipeline with tools like OpenAI, LlamaIndex, and Gradio. The focus is entirely hands-on, ensuring you gain real-world coding experience as we add complexity and layers to your AI product. Along the way you will also learn that becoming a great LLM Developer requires much more than just technical skills and we try to teach you an understanding of the Entrepreneurial and Communication Skills and Industry Knowledge you will need to integrate.

  • Expanding Your Toolkit and Planning Your Own AI Project

    Through 25 lessons, you'll explore a variety of tools like LLM agents, diffusion models, and APIs that can be integrated into your projects. We will also give our thoughts on the economics of the LLM ecosystem and help you choose the right niche and business strategy for building your own LLM Pipeline. This section is about thinking beyond the AI Tutor and planning custom AI applications that align with your personal or professional goals.

  • Student-Led Final Project

    You’ll bring everything together by building and submitting your own LLM + RAG project. Whether it’s a variation of the AI tutor or a completely new idea, this final project will be your proof of mastery. We’ll review your project and certify your skills, helping you showcase your expertise in building real-world AI applications.

What This Course Can Do for You

Walk away with a working LLM product, certification, and the confidence to take your career to the next level.

  • A Fully Functional AI Product

    By the end of the course, you’ll have a fully functional product to showcase. Through a blend of written lessons, videos, and hands-on projects, you’ll build your own AI tutor, work through the limitations of popular AI models, and understand how to create a fully functional AI product.

  • A Project Portfolio

    Through hands-on projects, you’ll master prompt engineering, RAG pipelines, and real-world AI deployment. You will walk away with a project portfolio that showcases your ability to build AI products, crucial for job hunting or pitching your startup ideas.

  • Industry Essential Upskilling

    Whether you're a developer looking to transition into an AI career or implement LLMs at scale, this course is designed to be the definitive 50-hour deep dive into the skills and knowledge that companies are hiring for today.

Course Prerequisites

To truly maximize the learning experience, a technical foundation is essential for this course due to the hands-on nature of the projects.

  • Intermediate Python knowledge

  • Basic knowledge of GitHub

  • Necessary libraries for code implementations

  • Compatible device to setup a coding environment

  • At least 50 hours to gain the full benefit of the course

Build Your First Advanced MVP with LLMs

Enroll today!

More Towards AI's Course Takers' Reviews

5 star rating

The most comprehensive course I’ve been waiting for!

Олег Хасьянов

A highly detailed course that truly turns you into a professional LLM developer. It covers a wide range of topics: data collection, search, re-ranking, chunking, deployment, various techniques and approaches that may work in some cases and not in ...

Read More

A highly detailed course that truly turns you into a professional LLM developer. It covers a wide range of topics: data collection, search, re-ranking, chunking, deployment, various techniques and approaches that may work in some cases and not in others. This is exactly what immerses you in real-world challenges, where you’re faced with a task and must find a solution. There’s no perfect or one-size-fits-all answer; every task has its own path. The essence of this course is to provide these different approaches so you can gain hands-on experience and develop an inner intuition, understanding which approach works best for a particular problem. I am grateful to the Towards AI team for delivering such an amazing course. This course has raised me to an even higher level!

Read Less
5 star rating

great course

Danny Vaks

Read Less

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FAQ

  • Is this course paid?

    Yes

  • Will I get a certificate upon completion?

    Yes, you will receive a Towards AI certificate upon completion.

  • Can I get a discount?

    Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-François at [email protected] for a follow-up.

  • What projects will I work on?

    You’ll work on building your own AI tutor, create RAG pipelines, and build your advanced LLM MVP. Each project is designed to solve real-world problems, ensuring you gain practical, hands-on experience.

  • Who is this course for?

    This course is for developers, engineers, and professionals who want to fast-track their AI careers or bring LLMs into their company. Whether you're aiming to land an AI engineer role or upskill to implement cutting-edge AI solutions, this course is designed for you.

  • How is this course different from other AI courses?

    Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately.

  • Do you have a referral or affiliate program?

    For every referral you provide, you’ll gain access to our exclusive eBook. If you refer three or more people, we’ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-François at [email protected] with proof of referral.

  • Can I take this course within my company?

    Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected].

  • Our refund policy

    If, after completing the first part (part 1), you feel the course isn’t right for you, we’ll provide a 100% refund within 30 days—no hassle, no worries.