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5 Free AI Courses from Hugging Face

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5 Free AI Courses from Hugging Face
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Introduction

 
Hugging Face has become the go-to hub for discovering AI models, datasets, and demos. Beyond that, it has also evolved into an educational platform where you can learn through blogs, articles, tutorials, and courses. The community is highly active and interactive, making it a great place to grow your AI knowledge.

In this article, we’ll review some of the most popular and essential free courses offered on Hugging Face. These courses cover topics such as AI agents, Model Context Protocols (MCPs), large language models (LLMs), diffusion models, and reinforcement learning, all of which are at the core of today’s rapidly evolving AI landscape.

 

1. AI Agents Course

 
The AI Agents Course is a community-driven program that takes you from theory to practice. You will learn core concepts, build with smol-agents, LlamaIndex, and LangGraph, experiment in preconfigured Hugging Face Spaces, share on the Hub, and compete on a public leaderboard.

 

AI Agents Course on Hugging FaceAI Agents Course on Hugging FaceThe AI Agents course landing page | Image by Author

 

Engage with the community via GitHub and Discord, and earn free certificates by completing units and challenges. Sign up to get unit links and updates; your email is used only for course communications.

 

2. Model Context Protocol (MCP) Course

 
The Model Context Protocol (MCP) Course is designed to take you from the basics of AI to advanced mastery of the Model Context Protocol. Throughout the course, you will learn about MCP in theory, design, and practice. Additionally, you can share your projects and explore applications created by the community.

 

Model Context Protocol (MCP) Course on Hugging FaceModel Context Protocol (MCP) Course on Hugging FaceThe Model Context Protocol (MCP) course landing page | Image by Author

 

The course combines foundational units on MCP concepts, architecture, and core components with hands-on building sessions and real-world assignments that you can choose.

 

3. Large Language Model Course

 
The Hugging Face LLM Course bridges foundational natural language processing (NLP) and the latest advancements in large language models (LLMs), guiding you from essential NLP concepts to hands-on experience with powerful models like those in the Transformers library.

 

Large Language Model Course on Hugging FaceLarge Language Model Course on Hugging FaceThe Large Language Model (LLM) course landing page | Image by Author

 

You will learn to use, fine-tune, and deploy LLMs, tackle classic and advanced NLP tasks, and showcase your work — all while building practical skills that prepare you to excel in the rapidly evolving field of AI.

 

4. Diffusion Models Course

 
The Hugging Face Diffusion Course is a hands-on program that guides you through the theory and practical applications of diffusion models, including generating images and audio with the Diffusers library, training your own models from scratch, fine-tuning existing models on new datasets, and exploring advanced techniques like conditional generation and custom pipelines.

 

Diffusion Models Course on Hugging FaceDiffusion Models Course on Hugging FaceThe Diffusion Models course landing page | Image by Author

 

The course is structured into four units covering everything from basic introductions to advanced topics like Stable Diffusion and creative model applications.

 

5. Deep Reinforcement Learning Course

 
The Hugging Face Deep RL Course offers a comprehensive, hands-on journey through both the theory and practice of deep reinforcement learning (Deep RL), guiding you from foundational concepts to state-of-the-art methods.

 

Deep Reinforcement Learning Course on Hugging FaceDeep Reinforcement Learning Course on Hugging FaceThe Deep Reinforcement Learning course landing page | Image by Author

 

You will learn to use popular libraries like Stable Baselines3 and CleanRL, train agents in unique and classic environments such as SnowballFight, Huggy the Doggo, VizDoom, and Space Invaders, and share your results with the community — all within an engaging, challenge-based format.

 

Wrapping Up

 
Hugging Face offers a collection of free, community-driven courses designed to take you from theory to hands-on practice in today’s most important AI domains.

  • AI Agents Course: Learn core concepts, build with tools like smol-agents, LlamaIndex, and LangGraph, experiment in Hugging Face Spaces, and compete on leaderboards
  • Model Context Protocol (MCP) Course: Master MCP from fundamentals to advanced applications through theory, design, and real-world projects
  • Large Language Model (LLM) Course: Bridge NLP foundations with cutting-edge LLMs, gaining skills in fine-tuning, deployment, and advanced tasks using Transformers
  • Diffusion Models Course: Explore image and audio generation with Diffusers, train and fine-tune models, and dive into advanced techniques like Stable Diffusion
  • Deep Reinforcement Learning Course: Build RL expertise with libraries like Stable Baselines3 and CleanRL, train agents in fun environments, and share results with the community

 
 

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.



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Larry Ellison Tops Elon Musk to Become World’s Richest Person After Oracle Stock Surge

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Larry Ellison has become the world’s richest person, overtaking Tesla chief Elon Musk after an unprecedented rally in Oracle’s stock added more than $100 billion to his fortune in a single day.

The 81-year-old Oracle co-founder and chief technology officer saw his net worth climb to around $393 billion, according to the Bloomberg Billionaires Index. The leap dethroned Musk, whose wealth has been under pressure amid a slide in Tesla shares and the volatile performance of his other ventures.

The trigger came from Oracle’s fiscal first-quarter results which revealed explosive growth in the company’s artificial intelligence-driven cloud business.

 Investor enthusiasm sent Oracle’s stock soaring more than 40 percent, pushing the software giant’s market value up by nearly $200 billion in a single session. 

Analysts described the rally as one of the most dramatic in the company’s history, fueled by a swelling order book for AI cloud services that is now approaching half a trillion dollars

Oracle Corporation reported fiscal first-quarter 2026 revenue of $14.9 billion on Tuesday, up 12% year-over-year in US dollars and 11% in constant currency.

Cloud revenue, including infrastructure and applications, rose 28% to $7.2 billion. Infrastructure-as-a-Service (IaaS) revenue grew 55% to $3.3 billion, while Software-as-a-Service (SaaS) applications revenue increased 11% to $3.8 billion. Within SaaS, Fusion Cloud ERP revenue was $1 billion, up 17%, and NetSuite Cloud ERP revenue also reached $1 billion, up 16%.

Oracle CEO Safra Catz said the company has signed major cloud contracts with top AI players such as OpenAI, xAI, Meta, NVIDIA, and AMD. “At the end of Q1, remaining performance obligations, or RPO, now to $455 billion. This is up 359% from last year and up $317 billion from the end of Q4. Our cloud RPO grew nearly 500% on top of 83% growth last year,” she said.

“MultiCloud database revenue from Amazon, Google and Microsoft grew at the incredible rate of 1,529% in Q1,” said Ellison. “We expect MultiCloud revenue to grow substantially every quarter for several years as we deliver another 37 datacenters to our three Hyperscaler partners, for a total of 71.”

Eliision added that next month at Oracle AI World, the company will introduce a new Cloud Infrastructure service called the ‘Oracle AI Database’ that enables customers to use LLMs of their choice, including Google’s Gemini, OpenAI’s ChatGPT, xAI’s Grok, etc., directly on top of the Oracle Database to easily access and analyse all their existing database data. 

Oracle also raised its forecast for Oracle Cloud Infrastructure, projecting 77% growth this fiscal year to $18 billion, up from an earlier estimate of 70%. 
Over the longer term, the company expects cloud infrastructure revenues to accelerate dramatically, targeting $32 billion next year and as much as $144 billion within five years.“We now expect Oracle Cloud Infrastructure will grow 77% to $18 billion this fiscal year and then increase to $32 billion, $73 billion, $114 billion and $144 billion over the following 4 years,” said Catz.

The post Larry Ellison Tops Elon Musk to Become World’s Richest Person After Oracle Stock Surge appeared first on Analytics India Magazine.



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Pune-Based Astrophel Aerospace Develops Indigenous Cryogenic Pump for Rocket Engines

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Astrophel Aerospace, a space tech startup from Pune, has developed an indigenous cryogenic pump designed to power its upcoming Astra C1 rocket engine. The pump, capable of spinning at 25,000 revolutions per minute, is undergoing testing at Indian Space Research Organisation (ISRO) facilities. 

The company plans to upgrade it into a turbopump for integration into its first and second stage engines by late 2026.

Astrophel announced the development, stating that it positions the firm among the first private Indian startups to build an in-house cryogenic pump. “This milestone is a testament to how India can indigenously develop advanced propulsion technologies at a fraction of global costs,” Suyash Bafna, co-founder of Astrophel Aerospace, said.

The company recently raised ₹6.84 crore (~$800,000) in a pre-seed funding round to develop a reusable semi-cryogenic launch vehicle and missile-grade guidance systems.

Testing and Global Plans

The company is also preparing to sign a memorandum of understanding with a US-based partner (unnamed them as of now) and exploring global collaborations for export opportunities at the sub-component level. These efforts aim to meet rising demand in both the space sector and industries such as oil and gas, which use cryogenic liquids.

According to Astrophel, the pump, though the size of a one-litre bottle, produces 100 to 150 horsepower, equivalent to a family car. The turbopump version will scale this to 500 to 600 horsepower for larger launch vehicles. 

“ISRO’s certification will validate not just our pump, but India’s ability to innovate world-class space hardware with global export opportunities,” Bafna added.

Astrophel’s announcement comes as India works to expand its space economy from $8.4 billion in 2022 to $44 billion by 2033, aiming to capture 8% of the global market. 

“This milestone represents the culmination of years of frugal engineering and is a stepping stone toward India’s first privately developed gas generator cycle,” Immanuel Louis, co-founder of Astrophel Aerospace, said.

The post Pune-Based Astrophel Aerospace Develops Indigenous Cryogenic Pump for Rocket Engines appeared first on Analytics India Magazine.



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Esri India, Dhruva Space Partner to Expand Satellite Data Access

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Sanjana Gupta

An information designer by training, Sanjana likes to delve into deep tech and enjoys learning about quantum, space, robotics and chips that build up our world. Outside of work, she likes to spend her time with books, especially those that explore the absurd.



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