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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.

Brought to you in collaboration with

Activeloop, Towards AI, & Intel Disruptor Initiative

Activeloop, Towards AI, and Intel Disruptor Initiative collaborate to bring Foundation Model Certification to tomorrow’s Gen AI professionals, executives and enthusiasts. The Foundation Model Certification is your essential gateway to mastering Large Language Models (LLMs) - from training to putting them in production.
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With great support from

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Course Reviews

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

Free GenAI Courses: Who can take them?

This certification is crafted for engineers, executives, and enthusiasts eager to pivot into the field of Large Language Models (LLMs). Requiring only intermediate Python knowledge, participants will be guided through the process of training and fine-tuning LLMs from the ground up. Additionally, you will learn how to integrate your private data with LLMs, enabling the development of Retrieval Augmented Generation (RAG) based applications or use LangChain & vector databases, among other capabilities. Finally, you'll master Deep Lake, the database for AI.
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Why Should You Take This Course?

  • Perfect Blend of Practice & Theory

    We've put together the state-of-the-art methods fresh off the academic press and GitHub to craft a balanced curriculum that will equip you with most essential LLM skills to train, fine-tune, and productize LLMs.

  • Operational Techniques for LLMs (LLMOps)

    Gain hands-on experience in training LLMs, from deciding when to start from scratch or fine-tune to mastering operational essentials (LLMOps). Dive into cloud training, efficient scaling, and benchmarking, while also exploring the power of specialized models for industry-specific tasks.

  • Free of Charge & Free Certification

    In collaboration with Intel Disruptor Inititative, Towards AI, & other partners we're offering the certification program free of charge. Pass challenging quizzes, requiring a perfect score to obtain the certificate!

Industry Leaders on the Course

“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 AI

More Course Takers' Reviews

5 star rating

Incredible Overview

Lee Pang

As 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...

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As 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!

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5 star rating

I'm Surprised

Brian Barnes

I 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...

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I 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...

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5 star rating

Interactive and full of real world applications. Incredible!!

Elle Neal

This 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...

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This 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!

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5 star rating

really good insights.

Ramesh Nandipalli

course is really good. Course is very detailed with very good examples.

course is really good. Course is very detailed with very good examples.

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5 star rating

Great Course

raja nouman

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

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

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5 star rating

Complete course

Sharan Harsoor

Very nice course and amazing projects.

Very nice course and amazing projects.

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5 star rating

Best fit for beginners to kickstart their AI journey

Tanmay Sarkar

5 star rating

this is a good course

Kim Tỵ

5 star rating

Excellent Course!

Rakesh Arumalla

5 star rating

Awesome course!

Sanjay Singh

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!

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!

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5 star rating

Very through approach to learn about LLMs & LangChain

Jorge Mario Salazar Rios

The 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.

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5 star rating

Exceeds the expectations

Ravikumar Malipeddi

Great content and use cases are well crafted. enjoyed the whole learning.

Great content and use cases are well crafted. enjoyed the whole learning.

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