Free Generative AI & Large Language Models Courses
GenAI360: Foundation Model Certification. Trusted by 40,000+ learners from Fortune 500 companies & leading educational institutions
Explore state-of-the-art open-source models like ColPali, ColBert, Meta Llama for multi-modal RAG and learn techniques such as PaperQA, GraphRAG and RAFT. Discover production-grade evaluation approaches.
Our fan favorite courses
Learn about LLMs, LangChain, and Deep Lake vector database for all AI data with Activeloop, TowardsAI, & Intel Disruptor Initiative. Create efficient LLM-enabled apps in real-world scenarios.
Free
Free Course. Build Advanced Retrieval Augmented Generation Apps with LangChain & LlamaIndex. Learn to Build Multi-Modal Chat with Your Data Apps Across Industries
Free
Learn to Train & Fine-Tune LLMs for Production. Build Custom Open-Source or Close-Source Models Across Industries. Learn to Fully Utilize Compute for LLMs.
Free
Activeloop, Towards AI, & Intel Disruptor Initiative
Hear from Gen AI 360 Certification takers
“Probably one of the most complete end to end LLM resources I have seen so far. Even if you are more advanced in GenAI and LLMs, there are still many things you might be interested in learning and are likely new for you. Very much recommended.”
Xavier (Xavi) Amatriain, VP of Engineering - Product AI Strategy, LinkedIn“@activeloopai @LangChainAI I signed up Wednesday and having been working through it.. insane quality for $0. 🤝”
Andrew Riley“Two of the things that make this certification different from every other LangChain course I've seen: 1. It's very extensive! It could be a book. 2. You'll work on industry-specific projects.”
Santiago @svpino“Yesterday I completed enough of @activeloopai‘s course to build something useful with #langchain Today a company owner liked the customer service bot I built for him and asked me to put it on his website. ZERO TO ONE BABY. Next: 1 to 10.”
Alex North Rule“Another great resource to stay ahead in the game - The Gen AI 360 Foundational model extensive course by @activeloopai Check it out : https://learn.activeloop.ai/courses/langchain 🚀🚀✨”
Abhishek Ranjan“I believe that engineers and technology executives could benefit greatly from this course to stay at the forefront of AI. Intel continues to be at the vanguard of AI and new technology adoption. This Foundational Model Certification could help better equip the next generation of innovators with what they need to succeed with Generative AI and Large Language Models. It could also contribute to the broader adoption of AI applications and solutions across various industries.”
Arijit Bandyopadhyay, CTO – Enterprise Analytics & AI, Head of Strategy – Cloud & Enterprise, DCAI Group, Intel Corporation“Enterprises are investing in LLM applications across industries. However, there's a huge knowledge gap in how to train and fine-tune LLMs, and what software and hardware stack is needed for it. Gen AI 360-certified developers will be able to apply state-of-the-art methods and construct cost-effective and efficient solutions that won't break the bank while delivering full performance with advanced AI technologies like Deep Lake and performant hardware like 4th Generation Intel® Xeon® Scalable Processors.”
Davit Buniatyan, CEO Activeloop“We're passionate about educating and upskilling engineers in this rapidly growing field. That's why we've designed this practical course to implement AI into company processes or use LLMs to build entirely new products.”
Louie Peters, CEO Towards AIAs all of these technologies enter from bleeding edge to leading edge, it can be frustrating not having consistent examples or documentation to help carve away at the features Im desiring to implement both personally and for my employers. This...
Read MoreAs all of these technologies enter from bleeding edge to leading edge, it can be frustrating not having consistent examples or documentation to help carve away at the features Im desiring to implement both personally and for my employers. This was an absolutely incredible overview of LangChain, coupled with fantastic real world examples (with reasoning and failed attempts nonetheless). This course gave me everything I needed to iterate step by step on a few product features I've been exploring for work, as well as additional capabilities of both AI and LangChain that will be hard for my colleagues to believe are possible. I can't recommend this course enough and I've been eagerly awaiting completing it so I can show off my certificate and urge people to get their own. I'm super grateful to activeloop and team for organizing all these wonderful documents and examples and explaining it clearly and intentionally. This has supercharged my career and skills for the foreseeable future!
Read LessI didn't expect much. There are some tutorials out there covering most of the stuff found here. I mean, how hard can writing a prompt really be? As it turns out, you can get pretty darn advanced with it. This is literally the only course I've foun...
Read MoreI didn't expect much. There are some tutorials out there covering most of the stuff found here. I mean, how hard can writing a prompt really be? As it turns out, you can get pretty darn advanced with it. This is literally the only course I've found regarding Langchain that is as serious as a heart attack. Most are only high level overviews. This is the real deal. And it's free...
Read LessThis course is FANTASTIC! I have tried to navigate Langchain for a while now, due to their being so much functionality, I found it hard to grasp all the concepts. Not only did this course give me a great overview, it was packed with exciting proje...
Read MoreThis course is FANTASTIC! I have tried to navigate Langchain for a while now, due to their being so much functionality, I found it hard to grasp all the concepts. Not only did this course give me a great overview, it was packed with exciting projects. I made my own course material chatbot half way through, it was made so simple for me. Can't wait for more!! Thank you so much for making this accessible!
Read Lesscourse is really good. Course is very detailed with very good examples.
course is really good. Course is very detailed with very good examples.
Read LessLangchain is a framework to create chatbots and other AI apps on given data stored in vector databases. Deep Lake is great as it is a database used to store data of all types audio, videos, text etc. for LLMs. Highly recommend
Langchain is a framework to create chatbots and other AI apps on given data stored in vector databases. Deep Lake is great as it is a database used to store data of all types audio, videos, text etc. for LLMs. Highly recommend
Read LessVery nice course and amazing projects.
Very nice course and amazing projects.
Read LessFound it really helpful. It covers theory and projects, both. The way codes are explained by guiding on developing amazing applications is quite compelling. Strongly recommend it to every AI developer. Thanks a lot!
Found it really helpful. It covers theory and projects, both. The way codes are explained by guiding on developing amazing applications is quite compelling. Strongly recommend it to every AI developer. Thanks a lot!
Read LessThe course has a lot of valuable information and many great examples to understand in deep the concepts presented.
The course has a lot of valuable information and many great examples to understand in deep the concepts presented.
Read LessGreat content and use cases are well crafted. enjoyed the whole learning.
Great content and use cases are well crafted. enjoyed the whole learning.
Read LessLearn about LLMs, LangChain, and Deep Lake vector database for all AI data with Activeloop, TowardsAI, & Intel Disruptor Initiative. Create efficient LLM-enabled apps in real-world scenarios.
Free
Free Course. Build Advanced Retrieval Augmented Generation Apps with LangChain & LlamaIndex. Learn to Build Multi-Modal Chat with Your Data Apps Across Industries
Free
Learn to Train & Fine-Tune LLMs for Production. Build Custom Open-Source or Close-Source Models Across Industries. Learn to Fully Utilize Compute for LLMs.
Free
Generative AI Certification Test. 30 Questions. 40 Minutes. 6 Topics Across AI Foundamentals, Model Training & Fine-Tuning, Deployment & Observability, RAG, as well as Ethics & Compliance
Free