Exciting Launch: Announcing Free GenAI Nano Courses

avcontentteam 08 Sep, 2023 • 3 min read

How can one keep up with the ever-evolving landscape of Generative AI? In a field where advancements occur at lightning speed, staying at the forefront of the latest developments can be challenging. The answer, however, lies in a simple yet profound concept: learning from the experts who are actively shaping the industry. If you’re eager to unlock the secrets of cutting-edge Generative AI and gain insights directly from those leading the way, we have an exciting solution for you.

Introducing the free GenAI Nano Courses powered by Analytics Vidhya. The Nano Courses are created in collaboration with industry experts who practice Generative AI day in and day out – to bring you the cutting edge and first hand insights.

Before we delve into the specifics of the Nano Course, let’s understand what Nano Courses are and why they are important in online learning.

What are Nano Courses?

Nano Courses are short, focused, and highly specialized courses that aim to provide learners with comprehensive knowledge in Generative AI. These courses are designed to be concise yet impactful, making them perfect for busy professionals looking to upskill or enthusiasts eager to explore a new field. 

Why Nano Courses?

Nano Courses offer several advantages that make them a preferred choice for many learners:

  • Impactful Learning: Nano courses cut straight to the chase, delivering essential knowledge without unnecessary fluff. This allows learners to acquire new skills or insights quickly.
  • Learn from GenAI Practitioners: These courses are taught by industry leaders and experts, providing learners with insider knowledge and real-world insights.
  • Free of Cost: Nano Courses are free and free of cost, like the one we discuss here, making high-quality education accessible to everyone.
  • Certification: Bonus: Nano Courses offer free certification as well.

Welcome to the First Nano Course

We are very excited to announce the first Nano course: Building Large Language Models for Code where you will have the unique opportunity to learn from an industry leader, Loubna Ben Allal. She is a distinguished Machine Learning Engineer at Hugging Face and core member of the BigCode team. Join us on this transformative learning journey and dive deep into the world of LLMs.

Now that we understand the concept and significance of Nano Courses let’s dive into the key takeaways of our course on Building Large Language Models for Code.

Key Takeaways of Nano Course: Building Large Language Models for Code

  1. Learn how to train LLMs for Code from Scratch covering Training Data Curation, Data Preparation, Model Architecture, Training, and Evaluation Frameworks.
  2. Explore each step in-depth, delving into the algorithms and techniques used to create StarCoder, a 15B code generation model trained on 80+ programming languages.
  3. Understand and learn the best practices to train your own StarCoder on the data.

Course Curriculum

Here is a glimpse of what you can expect to learn in this Nano Course:

Building Large Language Models for Code

Meet the Instructor

Your guide on this exciting journey is Loubna Ben Allal, a distinguished Machine Learning Engineer at Hugging Face. With extensive experience in the field, Loubna is part of the core team of BigCode, responsible for releasing The Stack dataset, SantaCoder, and the remarkable StarCoder models.


Our Building Large Language Models for Code: Nano Course offers a golden opportunity to master the art of training Large Language Models for code generation. With its comprehensive curriculum, in-depth exploration, and guidance from industry leader Loubna Ben Allal, this course is a must for anyone looking to excel in code generation and language models.

Don’t miss out on this valuable opportunity to expand your coding skills and knowledge. Enroll for free today and embark on a learning journey that could shape the future of your coding endeavors.

avcontentteam 08 Sep 2023

Frequently Asked Questions

Lorem ipsum dolor sit amet, consectetur adipiscing elit,

Responses From Readers


  • [tta_listen_btn class="listen"]