Brought to you in collaboration

with Activeloop, Towards AI, & Intel Disruptor Initiative

Introducting Gen AI 360

Foundational Model Certification

Activeloop, Towards AI, and Intel Disruptor Initiative collaborate to bring Foundational Model Certification to tomorrow’s Gen AI professionals, executives and enthusiasts. The Foundational Model Certification is your essential gateway to mastering Large Language Models (LLMs) - from training to putting them in production. This cutting-edge three-course series designed to equip you with the knowledge and skills to train, fine-tune, and incorporate LLMs into AI products at your organization. In the first installment, jam-packed with 50+ lessons & 10+ practical projects, you will learn how to leverage LangChain, a robust framework for building applications with LLMs, and explore Deep Lake, a groundbreaking vector database for all AI data.
Explore the collaboration

130+ 5-star Course Reviews

Course takers on the LangChain & Vector Databases in Production course

“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

Why Should You Take This Course?

  • Master LLM & Vector Database Fundamentals

    Dive into the LLM world, mastering its fundamentals & theory. Utilize our top-tier tips for seamless production use, integrating APIs, & advanced prompt engineering. Grasp vector databases the key to preventing LLM hallucination & boosting information retrieval.

  • Build Production-Grade LLM Applications with LangChain

    Move beyond the shiny demos you see on the social media & build applications that matter - from building automated sales & customer support agents to building recommendation engines. Utilize the full power of LangChain with chains and agents & Deep Lake.

  • Master the only Multi-Modal Vector Database

    Deep Lake is the vector database for all AI data - whether this is text, images, videos, multiple embeddings to the same data, etc. Learn how to use Deep Lake to build an ultimate data moat at your organization.

Course Curriculum

    1. Introduction to the Course

    2. Course Introduction: Things You Should Know Before You Start

    3. Introduction to Course Modules

    4. Course Logistics

    1. LangChain 101: from Zero to Hero

    2. Let's Get to Know Each Other

    1. Introduction to LLMs and LangChain

    2. Quick Intro to Large Language Models

    3. Understanding Tokens

    4. Building Applications Powered by LLMs with LangChain

    5. Exploring the World of Language Models: LLMs vs Chat Models

    6. Exploring Conversational Capabilities with GPT-4 and ChatGPT

    7. Build a News Articles Summarizer

    8. Using the Open-Source GPT4All Model Locally

    9. What other models can we use? Popular LLM models compared

    10. LLMs & LangChain Module Quiz

    1. Intro to Prompting module

    2. Intro to Prompt Engineering: Tips and Tricks

    3. Using Prompt Templates

    4. Getting the Best of Few Shot Prompts and Example Selectors

    5. Managing Outputs with Output Parses

    6. Improving our News Articles Summarizer

    7. Creating Knowledge Graphs from Textual Data: Unveiling Hidden Connections

    8. Learning How to Prompt Module Quiz

    1. Intro to Indexes and Retrievers

    2. Exploring the Role of Langchain's Indexes and Retrievers

    3. Streamlined Data Ingestion: Text, PyPDF, Selenium URL Loaders, and Google Drive Sync

    4. What are Text Splitters and Why They are Useful

    5. Exploring the World of Embeddings

    6. Use Retrieval Augmented Generation to Build the Course Chatbot with Cohere & Databutton

    7. Build a Customer Support Question Answering Chatbot

    8. Conversation Intelligence: Gong.io Open-Source Alternative AI Sales Assistant

    9. FableForge: Creating Picture Books with OpenAI and Deep Lake

    10. Saving 80% with Deep Lake HNSW Index: How to Rapidly Query 35M Vectors

    11. Keeping Knowledge Organized with Indexes Module Quiz

    1. Introduction to Chains

    2. Chains and Why They are Used

    3. Create a YouTube Video Summarizer Using Whisper and LangChain

    4. Creating a Voice Assistant for your Knowledge Base

    5. LangChain & GPT-4 for Code Understanding: Twitter Algorithm

    6. 3 Ways to Build a Recommendation Engine for Songs with LangChain

    7. Video Lesson: How We Built a Song Recommendation Engine with LangChain

    8. Guarding Against Undesirable Outputs with the Self-Critique Chain

    9. Combining Components Together with Chains Module Quiz

Course Highlights

  • Free
  • 69 lessons
  • Learn how to use the only multi-modal Vector DB
  • 10+ practical projects like building LLM-powered sales & customer support agents
  • 40 hours of learning content

Industry Leaders on the Course

“They started out with a vector store integration, so it's flown under the radar, but... @activeloopai's Deep Lake is an intriguing fully-fledged serverless data lake that supports attribute based filtering, multiple distance functions, MMR search.”

Harrison Chase, CEO LangChain

“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

“Every company will soon add foundational models and vector databases to its day-to-day operations and products. Gen AI 360-certified developers will harness the full potential of LLMs or advanced AI technologies like Deep Lake and LangChain.”

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

Course Prerequisites

We've designed the course in a way that would be valuable for non-technical executives as well. To make the most out of it, however, you do need to be technical as it involves a lot of hands-on projects.

  • Intermediate Python Knowledge

  • Basic Knowledge of Jupyter Notebooks

  • Basic Knowledge of GitHub

More LangChain 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...

Read More

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...

Read More

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...

Read More

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

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5 star rating

this is a good course

Kim Tỵ

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5 star rating

Excellent Course!

Rakesh Arumalla

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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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Build LLM-powered apps, with LangChain & Deep Lake

Enroll today

Frequently Asked Questions

  • Is the course free?

    The course is absolutely free to take. While you do need an OpenAI account (you'd need a new account to redeem OpenAI credits) or a paid OpenAI account, we estimate the OpenAI API costs to be around $3. However, you can also use open-source LLMs across the course - which we cover in a related module.

  • Is the course up to date?

    Yes, we periodically update the course, so it is up to date. Please stick to recommended versions of the packages within the course for best experience.

  • Will I get a certificate upon completion?

    Yes, you will get Gen AI 360 Certified upon completion.

  • How long does the course take to complete?

    Our quickest learners have completed the course as quickly as in 25 hours, but the average course completion time is 40+ hours of learning.