LLM Bootcamp Pro: Customize & Deploy Large Language Models

New
·

13 Weeks

·

Cohort-based Course

Master LLM customization with hands-on training in fine-tuning, deployment, and optimization techniques for real-world applications.

Working with the best

OpenAI
Mistral
Claude
Hugging Face
LangChain

Course overview

LLM Bootcamp Pro: Customize & Deploy Large Language Models

LLM Bootcamp Pro: Customize & Deploy Large Language Models


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 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.

Course syllabus

Week 1

Nov 18—Nov 24

    Foundations of LLMs

    • Nov

      18

      Guest Lecture: "The Future of LLMs in Industry" by an industry expert.

      Mon 11/181:00 PM—2:00 PM (UTC)
    5 more items

Week 2

Nov 25—Dec 1

    Data Curation & Preparation

    4 items

Week 3

Dec 2—Dec 8

    Fine-Tuning Fundamentals & Capstone Project Kickoff

    • 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)
    4 more items

Week 4

Dec 9—Dec 15

    Technical Workshop: Deep Dive into Fine-Tuning Methods.

    • Dec

      14

      Technical Workshop: Deep Dive into Fine-Tuning Methods.

      Sat 12/141:00 PM—2:00 PM (UTC)
    3 more items

Week 5

Dec 16—Dec 22

    Prompt Engineering - Part 1

    • Dec

      21

      Interactive Session: Crafting Effective Prompts.

      Sat 12/219:00 PM—10:00 PM (UTC)
    3 more items

Week 6

Dec 23—Dec 29

    Note: No live sessions this week.

    1 item

Week 7

Dec 30—Jan 5

    Prompt Engineering & RAG Systems - Part 2

    • Jan

      4

      Workshop: Implementing RAG Systems

      Sat 1/41:00 PM—2:00 PM (UTC)
    3 more items

Week 8

Jan 6—Jan 12

    RAFT & Advanced Interaction

    • Jan

      11

      Guest Speaker: Insights on Advanced LLM Interactions

      Sat 1/119:00 PM—10:00 PM (UTC)
    4 more items

Week 9

Jan 13—Jan 19

    Model Deployment - Part 1

    • Jan

      18

      Deployment Workshop: Cloud Platforms and Best Practices

      Sat 1/181:00 PM—2:00 PM (UTC)
    2 more items

Week 10

Jan 20—Jan 26

    Model Deployment - Part 2

    • Jan

      25

      Tutorial: Automation Tools for Deployment

      Sat 1/259:00 PM—10:00 PM (UTC)
    3 more items

Week 11

Jan 27—Feb 2

    Optimization & Scalability

    • Feb

      1

      Discussion: Strategies for Scaling LLM Deployments.

      Sat 2/11:00 PM—2:00 PM (UTC)
    4 more items

Week 12

Feb 3—Feb 9

    Responsible AI and Ethics

    4 items

Week 13

Feb 10—Feb 16

    Capstone Completion & Demo Day

    • Feb

      14

      Demo Day: Present your Capstone Project to peers, instructors, and industry professionals

      Fri 2/141:00 PM—2:00 PM (UTC)
    3 more items

Bonus

    Option 1: Career Coaching (for Individuals)

    0 items

    Option 2: AI Leadership (for Company teams)

    0 items

What people are saying about Sanpreet, Kevin and Orcawise trainings.

        It was a pleasure to work with Sanpreet during my training at Orcawise. He always had time to show me how different elements of the ML pipeline worked and gave me the opportunity to learn more. He was always patient & supportive when I reached out for help. Training provided by Sanpreet & Kevin was an invaluable experience in my career development
Gareth Moan

Gareth Moan

Data Analyst, Yahoo
        The Orcawise AI Bootcamp was an amazing experience. I gained practical skills in custom LLM development and fine-tuning, with a focus on real-world applications. Sanpreet's expert guidance & the hands-on projects helped me solidify my understanding & build a strong portfolio. I highly recommend this for anyone looking to advance their career in AI
Marie Pigott

Marie Pigott

AI Consultant
        I completed 6-months on the Orcawise, Innovation Program, a bootcamp style LLM training, under the guidance of Kevin & Sanpreet, I gained valuable insights into the meticulous process of building software solutions. I learned by contributing & collaborating with the team to fine-tuning & deploying legal LLM's. I'm happy to recommend this training
Ike Ogbuchi

Ike Ogbuchi

Custom LLM Scientist
        I had the pleasure of working with Kevin when I participated in Orcawise's Innovation Program. He was excellent to work with and went above and beyond to teach me and include me in various aspects of the company's work. He truly cares about the people with whom he works, and I would highly recommend him and Orcawise to anyone.
Stephanie Myott Beebe

Stephanie Myott Beebe

Attorney, Data Scientist
        I can sum up Sanpreet in one word: Sincere. His dedication comes across the moment you meet him and you know that he will carry out any job/role to the best of his abilities. He is a reliable person to have around you. Also, he is someone who learns his job very well and then goes on to excel at it.All the best for a great future ahead.
Pritha Chakrobarty

Pritha Chakrobarty

Developer, Oracle Corporation
        In Sanpreet’s leadership I gained a lot of knowledge in the Data Science domain. He was a great mentor to me, was always willing to clear technical doubts and took time out to make me understand the topics in depth. Always encouraged me to learn more and assigned tasks that really helped me during my internship at Orcawise.
Kajol Kaiya

Kajol Kaiya

Service Manager, SAP
        I have really enjoyed working with Kevin as a Data Scientist. Best mentor with outstanding domain knowledge. I have learned a lot from him like "How to be good at achieving the OKR in an organization"we have worked together on the knowledge graph and building stories in Tableau.
Sanyam

Sanyam

Senior Data Analyst, Carne Group
        I started as a Data Science on the OIP (Orcawise Innovation Program). Coming as an international student it has been very important step in my career and thanks to Kevin it was possible. Kevin has been an amazing mentor to all the interns to build their professional career. Even after completing my internship he is always there for any professional
Dorothy Maiti

Dorothy Maiti

Data Scientist

Meet your instructors

Sanpreet Singh "LLM Fine-Tuning Expert & Bootcamp Trainer"

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"

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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Join an upcoming cohort

LLM Bootcamp Pro: Customize & Deploy Large Language Models

Cohort 1

$2,999

Dates

Nov 18—Feb 16, 2025

Payment Deadline

Nov 11, 2024

Don't miss out! Enrollment closes in 3 days

Get reimbursed

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.

Free resource

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

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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Join an upcoming cohort

LLM Bootcamp Pro: Customize & Deploy Large Language Models

Cohort 1

$2,999

Dates

Nov 18—Feb 16, 2025

Payment Deadline

Nov 11, 2024

Don't miss out! Enrollment closes in 3 days

Get reimbursed

$2,999

3 days left to enroll

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