4.8
(49 ratings)
5 Weeks
·Cohort-based Course
Gain a thorough understanding of the world of Large Language Models with a deep understanding on how to build your own applications
Previously at
Last chance to enroll
1
day
7
hours
53
mins
Course overview
This course is amongst the top-rated technical courses and I am proud to say it's an extremely popular course So far I have taught this course to over 300 Professional.
The course is aimed to introduce you to Large Language Models in deeper detail on what is Transformer Architecture 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 own 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 Large
Language Models.
- Learn to tackle practical machine learning problems and deliver results in production.
Additionally, students will gain a comprehensive understanding of the end-to-end machine learning pipeline, allowing them to construct and deploy robust and effective models in real-world settings using Large Language Models. 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.
01
You are intrigued about LLMs and would like to build applications powered by LLMs
02
You are ready to deploy your own SOTA AI Models and like to see how they work
03
You want to go beyond Jupyter Notebook and develop batch or real-time prediction
7 interactive live sessions
Lifetime access to course materials
23 in-depth lessons
Direct access to instructor
7 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.
Building LLM Applications
Week 1
Jul 7
Events
Sun, Jul 7, 4:00 PM - 6:00 PM UTC
Modules
Week 2
Jul 8—Jul 14
Events
Sat, Jul 13, 4:00 PM - 6:00 PM UTC
Sun, Jul 14, 4:00 PM - 6:00 PM UTC
Modules
Free preview
Week 3
Jul 15—Jul 21
Events
Sun, Jul 21, 4:00 PM - 6:00 PM UTC
Modules
Free preview
Week 4
Jul 22—Jul 28
Events
Sun, Jul 28, 4:00 PM - 6:00 PM UTC
Week 5
Jul 29—Aug 4
Events
Sun, Aug 4, 4:00 PM - 6:00 PM UTC
Week 6
Aug 5—Aug 10
Nothing scheduled for this week.
Post-Course
Events
Sun, Aug 11, 4:00 PM - 6:00 PM UTC
Modules
Free preview
4.8
(49 ratings)
Victor Calderon
Tiffany Teasley
Darshil Modi
Tony Dupre
Nicole Lovold-Egar
Dan Kellen
Founder | Ex-Google | Adjunct Professor Stanford & UCLA
I am a Founder by day and Professor by night. My work revolves in the realm of LLMs and Multi-Modal Systems.
My startup, traversaal.ai was built with one vision: provide scalable LLM Solutions for Startups and Enterprises, which can seamlessly integrate within the existing ecosystem, while being customizable and cost efficient.
This course is a cumulation of all my learnings and the courses I teach at other universities
Cohort-2024-03
$750
Dates
Payment Deadline
Don't miss out! Enrollment closes in 2 days
8am - 10:00am PST
We will go through each module during this class
2-4 hours per week
Students will spend time building projects with their team members or individually
this course with a focus on production and LLMs is designed to equip students with practical skills necessary to build and deploy machine learning models in real-world settings. Be part of the first 20 people cohort. More in email link..
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
Sign up to be the first to know about course updates.
Cohort-2024-03
$750
Dates
Payment Deadline
Don't miss out! Enrollment closes in 2 days