LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) from Udemy

Ready for an electrifying plunge into the universe of language technology? Prepare to enter the thrilling realm of LangChain with "LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)", where you'll be taught how to harness the power of LangChain and Large Language Models (LLMs) to build your very own Python applications.

Our aim for this course is simple - to equip you with everything you need to embark on your LangChain adventure. You'll be walked through using different LLMs from industry giants OpenAI and HuggingFace, understand the magic of calling prompts, creating templates, and chaining these prompts together to create a robust, interactive system.

But that's not all. We’ll dive into the heart of conversational chatbots and explore how memory works within LangChain. We'll wrap things up with a detailed tutorial on how you can apply these impressive LLMs to your own documents.

This course isn’t just informative—it’s also seriously fun. Through the use of memes, real-world analogies, and an engaging, down-to-earth approach, we've designed this course to be an enjoyable journey into the world of LangChain.

Say goodbye to those long, never-ending courses that are all fluff and no substance. This course is compact, to-the-point, and perfect for Python developers looking for a fast-track introduction to LangChain and LLMs. We know your time is precious, so we've packed all the essential information into one power-packed hour.

"LangChain 101 for Beginners" is your golden ticket to understanding and implementing LangChain. By the end of this course, you'll not only have a comprehensive understanding of LangChain, but also be ready to dive headfirst into your next project with a newfound arsenal of skills and knowledge.

Don't wait—let's start scripting the future, together. Let’s dive into the incredible world of LangChain and Large Language Models, and have some fun along the way.

What's inside

Learning objectives

Master the basics of langchain and the fundamentals of large language models (llms) from industry leaders such as openai and huggingface.
Gain proficiency in creating, calling, and chaining prompts for effective and interactive applications.

Develop an understanding of conversational chatbots within langchain, along with exploring memory functionalities for sophisticated responses.
Learn to apply llm techniques to personal documents and projects, paving the way for real-world application of course knowledge.

Master the basics of langchain and the fundamentals of large language models (llms) from industry leaders such as openai and huggingface.
Gain proficiency in creating, calling, and chaining prompts for effective and interactive applications.
Develop an understanding of conversational chatbots within langchain, along with exploring memory functionalities for sophisticated responses.
Learn to apply llm techniques to personal documents and projects, paving the way for real-world application of course knowledge.

Syllabus

Introduction

Welcome to this course!

Read this before you begin!

LangChain 101

Getting Started with LangChain and OpenAI

Calling Prompts with LLMs

Using different Large Language Models

Prompt Templating and Chaining

Using Simple Sequential Chains

Action Agents

Human as a Tool

Plan and Execute Agents

Memory and Chat Bots

Storing and Retrieving Chat History

Document Loading and Retrieval Chains

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers techniques highly relevant in industry

Develops skills necessary for real-world applications of knowledge

Taught by recognized leader in the field

Especially ideal for Python developers

Suitable for total beginners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) with these activities:

Practice calling and chaining prompts using different LLMs

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Practice calling and chaining prompts with different LLMs to gain proficiency in using them for building applications.

Browse courses on Large Language Models

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Choose an LLM from OpenAI or HuggingFace.
Craft a prompt that aligns with the desired task.
Call the LLM using the prompt and observe the response.
Chain multiple prompts together to create a complex interaction.

Explore tutorials on conversational chatbots using LangChain

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Engage with tutorials on conversational chatbots using LangChain to deepen understanding and gain practical experience.

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Identify reputable sources or platforms offering tutorials on conversational chatbots.
Select a tutorial that aligns with your skill level and interests.
Follow the instructions and complete the exercises provided in the tutorial.
Experiment with different parameters and techniques to refine your chatbot's responses.

Show all two activities

Career center

Learners who complete LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Researcher

Artificial Intelligence Researchers are responsible for developing and improving artificial intelligence technologies, including natural language processing and large language models (LLMs). This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to real-world applications. The course covers topics such as prompt engineering, model selection, and memory management, which are all essential skills for AI Researchers who work with LLMs.

See salaries and explore the career path for Artificial Intelligence Researcher

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to machine learning tasks. The course covers topics such as model training, evaluation, and deployment, which are all essential skills for Machine Learning Engineers who work with LLMs.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data to solve business problems. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to data science tasks. The course covers topics such as data cleaning, feature engineering, and model evaluation, which are all essential skills for Data Scientists who work with LLMs.

See salaries and explore the career path for Data Scientist

Natural Language Processing Engineer

Natural Language Processing Engineers are responsible for developing and improving natural language processing technologies, including chatbots and language translation systems. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to NLP tasks. The course covers topics such as text classification, sentiment analysis, and machine translation, which are all essential skills for NLP Engineers who work with LLMs.

See salaries and explore the career path for Natural Language Processing Engineer

Computational Linguist

Computational Linguists are responsible for studying the relationship between language and computation. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to computational linguistics tasks. The course covers topics such as syntax, semantics, and pragmatics, which are all essential skills for Computational Linguists who work with LLMs.

See salaries and explore the career path for Computational Linguist

Software Developer

Software Developers are responsible for designing, developing, and maintaining software applications. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to software development tasks. The course covers topics such as software design, coding, and testing, which are all essential skills for Software Developers who work with LLMs.

See salaries and explore the career path for Software Developer

Product Manager

Product Managers are responsible for defining, developing, and launching new products. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to product management tasks. The course covers topics such as market research, product design, and launch strategy, which are all essential skills for Product Managers who work with LLMs.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts are responsible for analyzing business needs and recommending solutions. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to business analysis tasks. The course covers topics such as data analysis, process mapping, and solution design, which are all essential skills for Business Analysts who work with LLMs.

See salaries and explore the career path for Business Analyst

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to marketing tasks. The course covers topics such as market research, campaign planning, and content creation, which are all essential skills for Marketing Managers who work with LLMs.

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Sales Manager

Sales Managers are responsible for leading and motivating sales teams. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to sales tasks. The course covers topics such as lead generation, customer relationship management, and sales forecasting, which are all essential skills for Sales Managers who work with LLMs.

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Customer Success Manager

Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to customer success tasks. The course covers topics such as customer onboarding, customer support, and customer feedback, which are all essential skills for Customer Success Managers who work with LLMs.

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Technical Writer

Technical Writers are responsible for creating documentation for software and hardware products. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to technical writing tasks. The course covers topics such as documentation planning, writing, and editing, which are all essential skills for Technical Writers who work with LLMs.

See salaries and explore the career path for Technical Writer

UX Designer

UX Designers are responsible for designing the user experience for websites and mobile apps. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to UX design tasks. The course covers topics such as user research, prototyping, and testing, which are all essential skills for UX Designers who work with LLMs.

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Project Manager

Project Managers are responsible for planning, executing, and completing projects. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to project management tasks. The course covers topics such as project planning, scheduling, and budgeting, which are all essential skills for Project Managers who work with LLMs.

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Consultant

Consultants provide advice and guidance to organizations on a variety of topics. This course provides a strong foundation for understanding the fundamentals of LLMs and how to apply them to consulting tasks. The course covers topics such as business analysis, problem solving, and presentation skills, which are all essential skills for Consultants who work with LLMs.

See salaries and explore the career path for Consultant