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Large Language Models for Beginners

4 Weeks

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Cohort-based Course

In four weeks, learn to create applications using large language models, empowering you to develop the next generation of digital solutions.

Course overview

Unlock the world of Generative AI with the right skill set

Large language models (LLMs) are a powerful tool that can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. In this course, you will learn how to program LLMs using Python and Langchain.


This course will expand your skill set with the latest libraries, frameworks, and tools. You will be able to develop innovative applications, experiment with new technologies, and push the boundaries of what's possible. By combining your programming skills with the power of large language models, you can create and deploy intelligent and interactive solutions.


With these skills, you can explore new opportunities in areas of AI, data science, natural language processing and other emerging fields.

Who is this course for

01

This course is for professionals who want to break into the tech industry.

02

This course is for developers who want to develop new cutting edge skills.

03

This course is for technical leaders who want to lead their teams to build innovative products.

What you’ll get out of this course

Learn the basics of LLMs

Get a comprehensive introduction to the concepts, current landscape, applications and potential of large language models.

Learn how to program LLMs using Python and Langchain

Through engaging demonstrations and hands-on exercises, participants will learn the essential techniques and best practices for effectively programming LLMs.

Learn how to use LLMs for a variety of tasks

Gain valuable insights into implementing practical applications such as generating answers from proprietary data and developing customised chatbots.

Build your portfolio with end-to-end projects

Through guided instruction and practical exercises, participants will work on real-world projects from inception to deployment, applying their knowledge in a practical setting.

This course includes

Interactive live sessions

Lifetime access to course materials

20 in-depth lessons

Direct access to instructor

2 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules

    Meet your instructor

    Altaf Rehmani

    Altaf Rehmani

    Digital transformation and AI specialist

    20 years of experience in leadership and investor roles across financial services, Education and Retail. Interested in all things digital, teaching and applying AI to solve practical problems.

    Jyoti Gupta

    Jyoti Gupta

    Software Architect and AI Instructor

    15 years experience in enterprise software development, teaching data science and AI.

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    Course schedule

    4 hours per week
    • Saturdays

      9:00am - 10:00am EST


    • Coursework and weekly projects

      3 hours per week


    Free resource

    TechScape: Free Ebook for understanding the Technology Landscape

    Written for professionals and business leaders, this free ebook covers the topics you need to know in the fast moving world of technology.

    Signup to get your free copy!

    Learning is better with cohorts

    Learning is better with cohorts

    Active hands-on learning

    This course builds on live workshops and hands-on projects

    Interactive and project-based

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

    Learn with a cohort of peers

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

    Frequently Asked Questions

    What happens if I can’t make a live session?
    I work full-time, what is the expected time commitment?
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