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Class is in session
LLM Bootcamp Pro: Customize & Deploy Large Language Models
13 Weeks
·Cohort-based Course
Master LLM customization with hands-on training in fine-tuning, deployment, and optimization techniques for real-world AI applications.
Class is in session
LLM Bootcamp Pro: Customize & Deploy Large Language Models
13 Weeks
·Cohort-based Course
Master LLM customization with hands-on training in fine-tuning, deployment, and optimization techniques for real-world AI applications.
.png&w=1536&q=75)
.png&w=1536&q=75)
Working with the best
Course overview
LLM Bootcamp Pro: Customize & Deploy Large Language Models
LLM Bootcamp Pro: Customize & Deploy Large Language Models
🚨 World class AI Training in a live production environment 🚨 Unlock the full potential of Large Language Models (LLMs) with Orcawise LLM Bootcamp Pro, a 13-week intensive program tailored for data scientists, AI engineers, developers, product managers, and entrepreneurs in the legal and compliance industry.
This interactive AI bootcamp offers a unique opportunity to actively contribute to the development of the Orcawise Custom LLM for the EU AI Act, giving you real-world, hands-on experience with a production-level project.
🚨Why Choose This Bootcamp?
Real-World Project Experience:-
Contribute to a Live LLM Development: Work alongside the Orcawise AI team, building and refining an LLM tailored to the legal complexities of the EU AI Act.
Production-Ready Skills: Master tools like LangChain, Retrieval Augmented Generation (RAG), PEFT-LoRA, Hugging Face, and PyTorch.
Capstone Project-Centered Learning Tailored Capstone Projects: Starting from Week 4, build a project aligned with your industry’s specific legal and compliance challenges, using real-world data.
Demo Day: Showcase your fully functional LLM solution to peers and industry professionals.
Expert-Led Interactive Sessions Live Workshops & Q&A: Learn from AI and legal tech experts, gaining industry insights to enhance your project.
Collaborative Environment: Join a community of professionals for networking and collaborative problem-solving.
🚨What You’ll Achieve
Master LLM Customization & Deployment: Fine-tune pre-trained models for specific legal and compliance tasks.
Deploy models using platforms like AWS and Hugging Face.
Develop Industry-Specific AI Solutions:
Create models for regulatory compliance, automating legal document reviews, and supporting adherence to the EU AI Act.
Affordable & Tiered Learning: Don't worry about tools costs. We'll start with free foundational models (T5, Bard) from Hugging Face before, optionally, progressing to ChatGPT, Mistral 7B, and Claude, towards the end of the course. So there are no upfront costs while gradually building skills.
Enhance Your Professional Portfolio: Showcase your Capstone Project, highlighting your expertise in AI within the legal and compliance sectors.
Who is this course for
01
Data Scientists and Engineers: Looking to advance your skills in fine-tuning and deploying LLMs.
02
AI Product Managers and Entrepreneurs: Building AI-driven products and seeking a deep understanding of LLMs.
03
Company Teams: Teams aiming to apply AI technologies to solve business challenges, with an option to opt-out of career transition support.
Key outcomes from Orcawise LLM Bootcamp Pro:
Hands-on Experience: Collaborate on a live LLM development project for the EU AI Act.
Expert Guidance: Learn from top AI and legal tech experts through live workshops and Q&A sessions.
Capstone Project: Create and deploy a custom LLM solution tailored to real-world legal and compliance challenges.
Industry Recognition: Showcase your work during Demo Day to peers and industry professionals.
Career-Boosting Skills: Hugging Face, T5, Bard, Claude, Mistral, ChatGPT, RAG Systems, RAFT Systems, LangChain...
Data Curation Tools, Gradio, AWS, NGINX, Gunicorn, Systemctl, Systemd, PyTorch or TensorFlow, DVC (Data Version Control), Weights & Biases, Docker, Kubernetes, FastAPI, PEFT-LoRA, vLLM.
This course includes
11 interactive live sessions
Lifetime access to course materials
31 in-depth lessons
Direct access to instructor
12 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.
LLM Bootcamp Pro: Customize & Deploy Large Language Models
Course syllabus
Week 1
Nov
18
Guest Lecture: "The Future of LLMs in Industry" by an industry expert.
Mon 11/181:00 PM—2:00 PM (UTC)
Foundations of LLMs
Week 2
Data Curation & Preparation
Week 3
Dec
7
Q&A Session: Data Management and Preparation.
Sat 12/71:00 PM—2:00 PM (UTC)Dec
7
Capstone Kickoff Meeting: Discuss project ideas and receive instructor feedback.
Sat 12/71:00 PM—2:00 PM (UTC)
Fine-Tuning Fundamentals & Capstone Project Kickoff
Week 4
Dec
14
Technical Workshop: Deep Dive into Fine-Tuning Methods.
Sat 12/141:00 PM—2:00 PM (UTC)
Technical Workshop: Deep Dive into Fine-Tuning Methods.
Week 5
Dec
21
Interactive Session: Crafting Effective Prompts.
Sat 12/219:00 PM—10:00 PM (UTC)
Prompt Engineering - Part 1
Week 6
BREAK
Note: No live sessions this week.
Week 7
Jan
4
Workshop: Implementing RAG Systems
Sat 1/41:00 PM—2:00 PM (UTC)
Prompt Engineering & RAG Systems - Part 2
Week 8
Jan
11
Guest Speaker: Insights on Advanced LLM Interactions
Sat 1/119:00 PM—10:00 PM (UTC)
RAFT & Advanced Interaction
Week 9
Jan
18
Deployment Workshop: Cloud Platforms and Best Practices
Sat 1/181:00 PM—2:00 PM (UTC)
Model Deployment - Part 1
Week 10
Jan
25
Tutorial: Automation Tools for Deployment
Sat 1/259:00 PM—10:00 PM (UTC)
Model Deployment - Part 2
Week 11
Feb
1
Discussion: Strategies for Scaling LLM Deployments.
Sat 2/11:00 PM—2:00 PM (UTC)
Optimization & Scalability
Week 12
Responsible AI and Ethics
Week 13
Feb
14
Demo Day: Present your Capstone Project to peers, instructors, and industry professionals
Fri 2/141:00 PM—2:00 PM (UTC)
Capstone Completion & Demo Day
What people are saying about Sanpreet, Kevin and Orcawise trainings.
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Meet your instructors
Sanpreet Singh "LLM Fine-Tuning Expert & Bootcamp Trainer"
Head of AI & Full-Stack LLM Architect at Orcawise
Sanpreet Singh leads the AI engineering team at Orcawise, with expertise spanning the full AI stack—from data engineering and model transformation to chatbot development.
As the lead instructor for the Orcawise Innovation Program (OIP), Sanpreet has helped numerous graduates and professionals elevate their AI careers through a hands-on, bootcamp-style training.
Sanpreet has led the design and development of advanced data scrapers, and he has fine-tuned cutting-edge LLMs such as ChatGPT, Claude, Gemini, and Mistral, deploying them on industry-standard platforms like Hugging Face. His real-world experience ensures students gain practical, industry-relevant skills.
Sanpeets leadership and technical expertise make him a key figure in shaping AI-driven solutions, guiding both companies and individuals to succeed in the rapidly evolving AI landscape.
Kevin Neary "LLM Product Innovator & Bootcamp Leader"
Top AI Voice | AI Product Innovator | Keynote Speaker | Board Advisor | CEO
Kevin Neary is the Co-Founder, CEO, and Product Lead at Orcawise, a leading AI advisory and services firm specializing in Responsible AI.
He also serves as am Industry Steering Board member at CeADAR, one of Europe's top European Digital Innovation Hubs (EDIG), and is a Board Member at the AI Lab at Georgia College and State University, United States.
Since 2016, Kevin has been the Course Director of the Orcawise Innovation Program (OIP), a 100-day bootcamp where he and his expert team have trained hundreds of professionals. Graduates have gone on to transform their careers with leading companies like Accenture, EY, LinkedIn, Google, and Facebook, as well as some of the world’s top startups.
Due to popular demand, this highly sought-after bootcamp is now available on Maven, offering an even more flexible, interactive learning experience designed to help you accelerate your AI career.
Kevin Neary is a Certified Business and Executive Coach and a Keynote Speaker on Responsible AI .
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LLM Bootcamp Pro: Customize & Deploy Large Language Models
Course schedule
5 - 7 hours
Lessons: Daily live interactive
08.00 EST / 13.00 IST / 14.00 CET
Daily, Monday-Friday:
1-hour live interactive lesson on zoom. Lessons delivered by instructors on zoom, with team discussions, contributions and feedback.
Weekly projects
2-3 hours per week
Your weekly contribution to your Capstone. Each week your instructors will introduce a project to the cohort and your individual contribution will fall due within 1-week.
Events: Saturday's
08.00 EST / 13.00 IST / 14.00 CET
Events include workshops, discussions, Q&A sessions and guest speakers.
Orcawise Fine-Tuning Guide
This guide offers a sneak peek into the fine-tuning process, one of the many essential skills you'll master in the Orcawise LLM Bootcamp Pro. Additionally, we outline the key prerequisites you should meet before enrolling.
In the full bootcamp, you’ll go beyond fine-tuning to explore the customization, optimization, and deployment of LLMs across sectors like healthcare, finance, and technology.
While this guide focuses on fine-tuning, the bootcamp delivers an end-to-end learning experience—from data preparation to model deployment.
Get this Fine-Tuning Guide
Learning is better with cohorts
Active hands-on learning
This course builds on live daily interactive lessons and dessions/weekly events.
Interactive and project-based
On the back of the live lessons and sessions you will engage in practical weekly projects developing an production ready LLM. These weekly project build momentum and result in your your Capstone.
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you. Work with a team of industry leaders on a real-life high profile custom LLM development.
Frequently Asked Questions
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LLM Bootcamp Pro: Customize & Deploy Large Language Models
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Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
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Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.