Large Language Models for Beginners
In four weeks, learn to create applications using large language models, empowering you to develop the next generation of digital solutions.
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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.
What’s included
Live sessions
Learn directly from Altaf Rehmani & Jyoti Gupta in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
9 lessons • 4 projects
Week 1
- 📄
Introduction to Large Language Models
- 📄
Applications and Landscape of Large Language Models
- ✍️
Exercise
Submit by Jul 13 - 📄
Video Recording
Introduction to Large Language Models
Week 2
- 📄
Recap
- 📄
Prompt Engineering
- ✍️
Exercises - Prompt Engineering
Submit by Jul 13 - 📄
Intro to Langchain - Part 1
- 📄
Create an LLM App in 15 Minutes
- ✍️
Exercises - LLM App
Submit by Jul 20 - 📄
Intro to Langchain - Part 2
- ✍️
Exercises - Langchain
Submit by Jul 19 - 📄
Video Recording
Prompt Engineering and Langchain
Week 3
Week 4
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.
Course schedule
4 hours per week
Saturdays
9:00am - 10:00am EST
Coursework and weekly projects
3 hours per week
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