Summer of LLMs!
Deep-dive into the world of LLMs with our immersive summer program
Develop <> Advance Your LLM Powered Applications
Full Experience
$3500
- 1-month training with 20hrs synchronous learning
- June 16 - July 14
- 3-month access to AI-powered LMS
- June 16 - Sept 16
- Lifetime access to asynchronous content (lectures, guided projects and live lab notebooks)
- Access to weekly 1:1 session with a SeqHub coach
- Mentor-guided research
- Mentor-guided capstone project
- Live sessions : Labs, Masterclasses, Office hours
Flexible Experience
$2500
- 3-month access to AI- Powered LMS
- June 16 - Sept 16
- Lifetime access to asynchronous content (lectures and guided project notebooks)
- Access to weekly 1:1 session with a SeqHub coach
- June 16 - July 14
Either one of:
- Mentor-guided research
- Mentor-guided capstone project
In this course, students will:
- Learn the Basics: Gain an understanding of large language models like ChatGPT, Claude, and Gemini, and the 'Transformers' technology that powers them.
- Get Hands-on Practice: Build programs that interact with these models and databases, mastering prompt engineering and effectiveness evaluation.
- Build Advanced Skills: Customize models for specific tasks such as question-answering and data classification, and utilize Retrieval Augmented Generation to enhance accuracy.
- Apply Skills in Real-World Applications: Develop and refine applications using these models, culminating in the design and deployment of a functional application to address practical problems.
- Engage in Research: Investigate bias and fairness in LLMs, using diverse datasets to critically examine model responses to various protected attributes.
- New students get to learn prompt engineering, fine-tuning of LLMs and exploring Langchain
- Returning students get to build or advance projects with industry experts and explore agentic RAG
- Students enrolled in the full experience program can join our Nigerian scholars for an internship project, developing LLM-based digital health solutions in Nigeria, starting July 7.
Live sessions and office hours are only available in full program experience (All times are in EST)
June 16 | |
June 18 June 20 June 25 June 27 July 02 July 07 | |
June 23 June 30 |
Onboarding session
Time: 2 - 3 PM
Project ideation starts
Live Reviews and Masterclasses
Time: 10 - 12 PM
Live Labs
(Collaborative Project Building)
Time: 2 - 4 PM
July 07 | |
July 14 | |
July 21 July 28 | |
August 04 |
Internship project starts
Weekly 1:1 with SeqHub experts continue during internship
Individual project
(capstone) presentations
Time: 2 - 4 PM
Internship project: Progress presentation
Time: 2 - 3 PM
Internship project:
Final presentations
Time: 2 - 4 PM
Requirement
To succeed in this course students should have an intermediate experience with Python programming. Students who are enthusiastic about developing large language model-powered applications will find this course exciting.
Capstone Project
Each student will undertake a capstone project, integrating all learned concepts and skills. Depending on their chosen path, students can participate in:
- Research-Focused Capstone: Conduct relevant research activities to evaluate LLMs Bias & Fairness, culminating in a technical write-up under the mentorship of an AI researcher.
- Project-Based Capstone: Develop a minimal viable LLM application, showcasing their ability to apply course knowledge to real-world scenarios.
- Full Experience: Students opting for the complete program can pursue both the research-focused and project-based capstones, gaining a well-rounded experience.
Internship Project
Participants in the full program can join our Nigerian scholars on their internship project, focusing on LLM-based solutions for Digital Health in Nigeria. This collaborative effort will be guided by AI-health experts, providing students with valuable mentorship and hands-on experience in a critical field.
Delivery mode
Students will be able to access videos, python notebooks, text content as well as complete quizzes at their own pace. Each week of the program will have learnings students are expected to complete.
Support offered for course
- AI-Tutor: Students can access our novel AI-tutor at any time during the duration of this program on the LMS
- Slack community: Students can ask questions and engage with peers on Slack at any time during and after this program
Prerequisite
Intermediate Level Python Programming
Registration is only complete once payment is made. An email will be sent to registered emails with further instructions. Students will be onboarded to the LMS by June 15.
Contact Us
Phone number
(205) 499-9782
