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LangChain in Action: Develop LLM-Powered Applications

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course-highlight Course Highlights

Developers must become proficient in LangChain and LLM (Large Language Models) in the rapidly evolving tech industry of today. This course is a great method to advance your career because of the abundance of chances in the field of LLM applications brought about by the growing demand for AI-driven solutions. This course will walk you through the nuances of LangChain and show you how to use LLM to create creative applications, regardless of your level of experience as a developer. You can stay ahead in a subject that is changing quickly if you comprehend the fundamental ideas of LangChain.

Professionals with experience with LLM-based apps and LangChain are in more demand on the UK employment market. Because AI is being used so widely in sectors like e-commerce, healthcare, and finance, businesses are looking for specialists who can incorporate state-of-the-art language models into their systems. The need for LangChain specialists is anticipated to increase as more companies use these technologies, providing better pay and intriguing employment opportunities. You will be prepared to close this gap and seize the many job chances after completing this course.

After finishing the course, you will have the ability to create complex, scalable applications using LLM technologies. You’ll learn how to build and implement chains, manage memory, optimise data retrieval, and integrate APIs, among other essential skills. The hands-on experience you earn will position you as a top candidate in the competitive job market, preparing you for future challenges and professional advancement.

course-benefits Learning outcome

  • Understand the fundamentals of LangChain and its application in LLM-powered systems.
  • Develop basic and advanced chains for building LLM applications.
  • Implement memory management to enhance LLM-powered applications.
  • Utilize OpenAI Function Calling for seamless integration with language models.
  • Leverage Retrieval Augmented Generation (RAG) for dynamic content generation.
  • Integrate LangChain Expression Language (LCEL) to streamline LLM operations.

course-why Why should I take this course?

  • Learn how to develop LLM-powered applications using LangChain, a highly sought-after skill in AI.
  • Gain proficiency in advanced concepts such as RAG, memory management, and LangChain Expression Language.
  • Enhance your career prospects by mastering tools and techniques used in cutting-edge AI applications.
  • Increase your earning potential with skills that are in high demand across tech industries in the UK.

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Skill Up Recognised Certificate

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CPD Quality Standards Accredited Certificate

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course-requirement Requirements

  • A basic understanding of programming languages like Python.
  • Familiarity with machine learning and AI concepts.
  • No prior knowledge of LangChain required, but an interest in AI is beneficial.

course-requirement Career Path

  • Junior LLM Developer: £40,000 - £55,000
  • LangChain Developer: £55,000 - £75,000
  • Senior LLM Engineer: £75,000 - £90,000
  • AI Application Architect: £90,000 - £110,000

Course Curriculum

  • play Why this course is different
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  • play Prerequisites
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  • play Essential topics and terms (theory)
    play 00:04:00
  • play Why this course does not cover Open Source models like LLama2
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  • play Optional: Install Visual Studio Code
    play 00:02:00
  • play Get the source files with Git from Github
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  • play Create OpenAI Account and create API Key
    play 00:02:00