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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

Course Curriculum

    1. Course Introduction | Gen AI 360 Foundational Model Certification

    2. Course Introduction and Logistics

    1. Module 1 Introduction - Basics of Retrieval Augmented Generation with Langchain and LlamaIndex

    2. LangChain: Basic Concepts Recap

    3. Introduction to LlamaIndex by Jerry Liu, LlamaIndex CEO

    4. Overview of Retrieval Augmented Generation and Its Components with LlamaIndex CEO Jerry Liu

    5. LlamaIndex Introduction: Precision and Simplicity in Information Retrieval

    6. Challenges with Naive RAG & How to Evaluate RAG Applications with LlamaIndex CEO Jerry Liu

    7. Chat with Your Code: LlamaIndex and Activeloop Deep Lake for GitHub Repositories 🦙🌊

    8. RAG Basics Quiz

    1. Module 2 Introduction - Advanced Retrieval Augmented Generation

    2. Brief Overview of Available Techniques: Fine-tuning, RAG; Activeloop’s Deep Memory

    3. When to do what using LLMs? RAG vs Fine-Tuning vs Deep Memory vs Training LLM from Scratch

    4. Using Deep Memory to Boost Retrieval Accuracy up to 22% on Average

    5. Mastering Advanced RAG Techniques with LlamaIndex

    6. Production-Ready RAG Solutions with LlamaIndex

    7. Iterative Optimization of LlamaIndex RAG Pipeline: A Step-by-Step Approach

    8. How to Use Deep Memory with LlamaIndex to Get +15% RAG hit_rate Improvement for Question Answering on Docs?

    9. Use Deep Memory with LangChain to Get Up to +27% Increase in Accurate Questions Answers to LangChain Code DB

    10. Deep Memory with LangChain RAG Applications Across Legal, Financial, and Biomedical Industries

    11. Advanced Retrieval Augmented Generation (RAG) for Pharmaceuticals: Pill Search

    12. Advanced RAG Quiz

    13. Advanced Retrieval Strategies: Deep Memory, Small to Big Retrieval, Structured and Unstructured Data, Parsing Tables and mroe

    1. Next-Level Automation: Data Agents In LlamaIndex

    2. Module 3 Introduction - Retrieval Augmented Generation Agents

    3. LangChain Overview: Agents, Tools, and OpenGPT Introduction

    4. LlamaIndex RAG-AGENT: Query and Summarize Over Database

    5. Crafting AI Assistants via OpenAI and Hugging Face API

    6. Building a Multi-Modal Financial Document Analysis and Recall for Tesla Investor Presentations

    7. Smart Shopping Assistant with Deep Lake & LlamaIndex - Introduction

    8. Building a Smart Shopping Assistant with DeepLake and LlamaIndex

    9. PatentPT: How We Finetuned a Large Language Model and Built a Retrieval Engine to Search & Generate Patents

    10. RAG Agents Quiz

    1. Module 4 Introduction - Retrieval Augmented Generation Evaluation and Observability

    2. RAG - Metrics & Evaluation

    3. LangSmith Introduction

    4. RAG Evaluation and Observability Quiz

    1. Introducing the Towards AI Tutor Bot, powered by Activeloop and Intel

    2. Building Fullstack Applications with LlamaIndex: LlamaPacks & more

    3. Technical Report: Boosting Cosine Similarity & Retrieval Accuracy with Intel CPUs & Deep Memory

    4. Interview Jerry Liu on the Future of AI: LlamaIndex, LLMs, RAG, Prompting and more

Course Highlights

  • Free
  • 41 lessons
  • 1 hour of high-level video content
  • 7+ practical, industry-specific projects with LlamaIndex & LangChain
  • 25 hours of learning content

Brought to you in collaboration with

Activeloop, Towards AI, & Intel Disruptor Initiative

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. In the third installment, jam-packed with 25+ theoretical lessons & 10 practical projects, you will learn how to build a production-oriented RAG system to power the AI products at your organization.
Train and Fine Tune LLMs course logo

With Great Support From

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Industry Leaders on the Course

“In the rapidly evolving business landscape, leveraging Retrieval Augmented Generation (RAG) tools like LlamaIndex & Deep Lake by Activeloop is essential for enterprises seeking a competitive edge in GenAI. This course is tailored to quickly upskill your team in GenAI workflows, emphasizing the integration of Activeloop's advanced features like Deep Memory with LlamaIndex for unmatched retrieval accuracy. It's a strategic investment to enhance your team's capabilities, ensuring your enterprise stays at the forefront of AI innovation.”

Jerry Liu, CEO & Co-Founder, LlamaIndex

“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

Why Should You Take This Course?

  • Master Cutting-Edge RAG Techniques

    Your grandma can build a chat with data application. Move beyond basic understanding and learn advanced Retrieval Augmented Generation (RAG) techniques with LlamaIndex, Deep Memory by Deep Lake, and LangChain.

  • Learn From The Best

    This course has been created in collaboration with LlamaIndex. Sign up to learn from Jerry Liu, the CEO and Co-Founder of LlamaIndex how to go from RAG to... production-great riches utilizing state-of-the-art techniques.

  • Industry-specific Projects with The Database for AI

    Learn how to create a medical pill recognizer app or multi-modal financial analyst. Build an e-commerce companion agent or discover how to improve retrieval performance across legal, biomedical, & financial industries.

  • Extended Trial of Deep Lake Starter Plan

    Unlock free access to Deep Lake Enteprise plans and utilize our premium features such as the Managed Tensor Database or Deep Memory for free. Get higher retrieval accuracy, speed, and drastically lower your production costs. Terms apply.

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...

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...

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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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Build Production-Grade RAG Systems with Deep Lake

Frequently Asked Questions

  • Is the course free?

    The course is absolutely free to take. You do need a paid OpenAI account or alternatively, build the example projects with Open-Source LLM models. As a result20, you can still complete the course and pass chapter quizzes without running these projects or paying anything.

  • 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 15 hours, but the average course completion time is 20+ hours of learning.

  • What are prerequisites for the course?

    Please know that prior knowledge of coding and Python is a prerequisite. You are not expected to have prior LlamaIndex knowledge but certain familiarity would be useful. You can learn LangChain from scratch in our previous course at learn.activeloop.ai/courses/langchain.

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 & Gradio

  • Basic Knowledge of GitHub

  • Free Trial of Activeloop Starter or Growth Plans