Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.

Publication

Launching our LangChain & Vector DBs in Production course — 50+ lessons & practical projects for free
Latest   Machine Learning

Launching our LangChain & Vector DBs in Production course — 50+ lessons & practical projects for free

Last Updated on July 17, 2023 by Editorial Team

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

We’re thrilled to announce an exciting collaboration between Towards AI, Activeloop, and the Intel Disruptor Initiative. We are launching the Foundational Model Certification course, an educational journey for the next generation of AI professionals and enthusiasts.

Consistent with our commitment at Towards AI, this course aims to empower AI enthusiasts with advanced tools and resources, paving the path to create impactful AI solutions. Spanning over 50 lessons and 10 practical projects, the course offers a comprehensive exploration of Large Language Models (LLMs), leveraging the capabilities of LangChain and Deep Lake.

LangChain, a potent tool for working with LLMs, coupled with Deep Lake, the vector database for all AI data that provides serverless memory to LLMs, forms the course’s centerpiece.

The course is divided into eight modules, featuring over 50 practical lessons. Below are some key concepts and topics included in the course:

  • 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: 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.
  • 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.

The certification course is the inaugural part of the Gen AI 360: Foundational Model Certification program, which is designed to arm AI developers with the tools necessary to apply Large Language Models across industries.

Get started with the LangChain & Vector Databases in Production course today, free of charge. If you haven’t already, please join the course companion Discord Channel and the Activeloop Slack community if you have any questions on Deep Lake.

Louie Peters; “As the CEO of Towards AI, I am thrilled to be part of this groundbreaking initiative. Each month, we reach over 385,000 AI developers through our platform. Our aim has always been to educate and upskill these passionate engineers in this rapidly expanding field.”

What sets this course apart is its practicality. It’s designed for engineers to implement AI into their company processes or use Foundational Models to build entirely new products.

The future is right here, right now. Foundational Models and vector databases are quickly becoming integral components in the day-to-day operations of companies across the globe. Upon course completion, developers certified by Deep Lake will have the ability to harness the full potential of Large Language Models, Deep Lake, and LangChain, paving the way for accelerated AI adoption in their respective fields.

But this course isn’t just for engineers. Technology executives too could greatly benefit from this course, staying at the forefront of AI technology, and facilitating its broader adoption in various industries.

Together, we’ve set out to create a platform that fosters the adoption of cutting-edge AI technology across any engineering organization.

So, to all the innovators, engineers, and tech enthusiasts who dream of pushing the boundaries of AI — this is your moment. We invite you to join us in this journey. To learn more about the Deep Lake Foundational Model Certification and to sign up for free, please visit our website.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓