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Gen AI 360
Foundational
Model Certification

48 lessons & 15 practical projects, at your pace

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 48 lessons and 15 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.
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Brought to you in collaboration with Activeloop, Towards AI, and Intel Disruptor Initiative
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Who Should Take This Course?

Whether an experienced developer who's a newcomer to the AI realm or an experienced machine learning enthusiast, this course is designed for you. Our goal is to make AI accessible and practical, transforming how you approach your daily tasks and the overall impact of your work.

Coming Soon!

Check back early next month for more course from Activeloop, Towards AI, & Intel Disruptor Initiative.

Coming Soon!

Check back early next month for more course from Activeloop, Towards AI, & Intel Disruptor Initiative.

Course Outline

Through a hands-on approach, you will embark on an immersive learning journey that dives deep into the theory and practical application of LLMs. Our curriculum covers a wide range of topics, including:

From Zero to Hero with LangChain

A comprehensive introduction to the essential concepts, set up, and usage of Large Language Models (LLMs), LangChain, and Deep Lake.

Large Language Models and LangChain

An in-depth exploration of Large Language Models and LangChain, with practical experience gained through the development of a News Articles Summarizer project

Learning How to Prompt

Gain proficiency in prompt engineering techniques and apply them in practice. Learn tips and tricks for prompting like role prompting, few shot prompting, chain of thought, and the ReAct framework

Keeping Knowledge Organized with Indexes

Exploring The Role of LangChain's Indexes and Retrievers: pros and cons of leveraging documents as the base for the LLMs and how to do that with retrievers and indexes. Build an automated customer support agent.

Combining Components Together with Chains

This module focuses on understanding and utilizing LangChain's Chains in various projects, including a YouTube Video Summarizer or a Recommendation Engine for Songs.

Giving Memory to LLMs

This module will aim to help you mastering Memory Types in LangChain and build chat with any data solutions - to be deployed locally or on the cloud.

Making LLMs Interact with the World Using Tools

This module explores LangChain's tools and their applications, with hands-on projects that enhance blog posts, recreate a Bing chatbot, and demonstrate multiple tool usage.

Using Language Model as Reasoning Engines with Agents

The final module introduces the concept of agents in LangChain, with a focus on creating autonomous agents for comprehensive analysis reports

Coming Soon!

Check back early next month for more course from Activeloop, Towards AI, & Intel Disruptor Initiative.

Coming Soon!

Check back early next month for more course from Activeloop, Towards AI, & Intel Disruptor Initiative.

A Message from Industry Leaders

Every company will soon add foundational models and vector databases to their day-to-day operations and their products. Deep Lake 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