Cohort 1

The Premier LLM Course to help you extend your Generative AI and LLM Expertise - Designed especially for Pakistan

Hamza Farooq

Building LLM Applications -CASE PK

Google

Amazon

Microsoft

Stanford University

Our&nbsp;Building Large Language Model Applications&nbsp;course is thoughtfully designed to provide you with foundational and advanced skills in Generative AI, LLM architecture, prompt engineering, fine-tuning, and deployment. The focus will be on translating theoretical concepts into real-world applications, from creating effective prompts to deploying models on scalable platforms. Whether it’s crafting chatbots, optimizing semantic search, or training local LLMs, this course equips you with the tools to master the end-to-end lifecycle of Large Language Models. This course is amongst the top-rated technical courses, and I am proud to say it's an extremely popular course. The course is aimed to introduce you to Large Language Models in deeper detail on what transformer architecture is and how we utilize the Encoder and Decoder Models. This is not a Langchain course but much more than that. We go into great depth to explain the building blocks of retrieval systems and how to utilize Open Source LLMs to build your RAG-based architectures. Learning Outcome: - Gain a comprehensive understanding of the end-to-end LLM architecture - Construct and deploy robust and effective models in real-world settings using LargeLanguage Models.&nbsp; - Learn to tackle practical machine learning problems and deliver results in production. Overall, students will emerge with greater confidence in their abilities to tackle practical machine learning problems and deliver results in production. Please Note:This is not a beginner course for non technical people, it requires knowledge of Python and some basic machine learning background.

Welcome to our best course yet!

Data Scientists Breaking into NLP and Gen AI Space

Researchers who would like to delve into various aspects of open-source LLMs

Software Engineers looking to learn how to integrate AI into their products

This course is for:

What you’ll get out of this course

Collect and preprocess data for large language models

Train and fine-tune pre-trained large language models for specific tasks

Evaluate the performance of large language models and select appropriate metrics

Deploy large language models in real-world applications using APIs and Huggingface

Understand ethical considerations involved in working with large language models, such as avoiding bias and ensuring transparency

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First Module

Second Module

Third Module

Course syllabus

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Meet your instructor

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Tuesdays & Thursdays

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May 7, 2022

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Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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