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Master LangChain, LangGraph, CrewAI, AutoGen, Agentic RAG, and MCP — and create the intelligent, autonomous AI systems defining the future.

Cohort 2

AI Engineer & Tech Entrepreneur

Nitin Monga

Data Scientist & Tech Entrepreneur with 20+ Years of IT & 8+ years in DS/ML/AI  

AUS Cohort 3

From Curious to CapableYou’ll go from just exploring GenAI to confidently building smart AI Agents that take real actions to solve real problems &amp; create a big impact.From Developer to AI BuilderYou won’t just prompt—you’ll architect AI systems using LangChain, CrewAI, LangGraph, AutoGen, Agentic RAG, MCP servers and custom tool integrations, such as Slack, Gmail, Trello etc.From Idea to ExecutionWhether you're a founder or product manager, you’ll learn how to take a product idea involving AI agents, transform into a working MVP &amp; shipping an enterprise solution.From Learning to EarningYou’ll walk away with a deployable AI Agent that can be integrated into a SaaS product, internal tool, or offered as a consulting service.From Theory to DeploymentYou’ll master not just building, but deploying your AI agent to production using Docker and AWS —job-ready skills that is in great demand right now.From Individual to InnovatorYou’ll gain the clarity, confidence, and capability to build products &amp; lead AI initiatives, pitch agent-based solutions, and create value.

Agentic AI Engineering Bootcamp: From ChatGPT User to AI Architect

Build and deploy an Agentic AI application on AWS Cloud

Master GenAI & agent-centric workflows using modern frameworks

Develop context-aware Retrieval-Augmented systems for smarter interactions

Build a full stack front-end and back-end for your AI application

Launch your AI-powered product or service and showcase it to stakeholders

Transition from developer/enthusiast to AI architect and innovator

Developers &amp; EngineersBuild and deploy AI Applications &amp; fast-track careers into one of the most in-demand,and high paying in tech

Product ManagersLooking to lead AI-driven product development, understand agent architecture &amp; collaborate effectively with technical team

Entrepreneurs &amp; Founders Aiming to launch AI-powered SaaS products, automate workflows, or integrate intelligent agents into their business

Future-proof your career with AI engineering. Design, assemble, and operate production LLM applications with industry-standard tools. Data science and ML skills that were relevant just a few years ago are being outpaced by AI. It is now possible to build what used to take months in a single day! This course is designed to help you think at the right level of abstraction about AI, and to write code that will help you prototype and ship production LLM applications at the leading edge.

Become the AI Engineer that every company needs

Course syllabus (download the detailed schedule for the entire syllabus!)

<ul><li>Nov 28th, 30th</li><li>Dec 5th, Dec 7th</li><li>Dec 12th, Dec 14th</li><li>Dec 19th, Dec 21st</li></ul> * All sessions will be recorded for your viewing pleasure!

Class!

Each class period, we will get hands-on with Python coding homework!

Programming Assignments

<ul><li>Monday: Team formation, project ideation, storytelling workshop, system diagram presentation</li><li>Wednesday: Build 🏗️, ship 🚢, and share 🚀 a RAG system with at least the following components: caching, evaluation, visibility&nbsp;</li></ul>

LLM Ops Hack Week

<ul><li>Open to the pubic - Friends, family, coworkers and bosses welcome!</li></ul>

LLM Ops Demo Day

<ul><li>Greg Loughnane: Mondays @ 8 AM PT</li><li>Chris Alexiuk: Fridays @ 3 PM PT</li></ul>

Office Hours

Course schedule

Advanced developers with an understanding of fundamental ML concepts and the product development process

Experienced data scientists or machine learning engineers who want to build production LLM applications

Software engineers who want to get up to speed on Generative AI and explore new career opportunities

Who is this course for

What you’ll get out of this course

Engineer LLM apps from scratch with Python and using LLM Ops frameworks including LangChain and LlamaIndex

Build, deploy, evaluate, and improve production Retrieval Augmented Generation (RAG) Question Answering systems

Master key LLM product development techniques like prompt engineering for retrieval, caching, and versioning

Learn to leverage Agents across LLM Ops frameworks using Reasoning-Action (ReAct) logic

Work with other talented builders to bring your LLM project or startup idea to life

Cohort 1 has been open-sourced  @ bit.ly/llmops1

LLM Ops has expanded into The AI Engineering Bootcamp @ bit.ly/AIEbootcamp

Dr. Greg Loughnane

Founder & CEO @ AI Makerspace

Chris "The LLM Wizard 🪄" Alexiuk 

Co-Founder & CTO @ AI Makerspace

LLMO4

🚨 World-Class AI Training in a Live Production Environment 🚨Master Large Language Models (LLMs) with Orcawise LLM Bootcamp Pro, a 100 days on-the-job program designed for data scientists, AI engineers, developers, product managers, and legal &amp; compliance professionals looking to gain hands-on expertise. This course is run is a real-life production environment, delivered in a flexible way ensuring that even busy professionals can participate effectively. While the course is running live, you also have the option to engage at your own pace with: ✅ On-demand recordings for all sessions✅ Comprehensive course materials accessible anytime✅ 1:1 office hours with instructors for personalized support✅ Custom cohort options for large teams with special requirements like: local time zones, skill levels, specialized industry applications, etc.✅ Custom capstone projects so you can work on our in-house applications or build your own custom LLM at your own pace under the guidance of top instructors. Join this interactive AI bootcamp and work on a real-world, production-level LLM, actively contributing to the: 1. Development of the Orcawise Custom LLM for legal and compliance. OR 2. Build your own custom application for your company, your start-up or your personal project. 🚀 Secure your spot today! 🚨Why Choose This Bootcamp? Real-World Project Experience:- Be Part of Live LLM Development or Build Your Own AI Solution: Work alongside the Orcawise AI team to refine an LLM tailored to the EU AI Act, US AI Guidelines, and global regulatory frameworks—or take the expertise gained and develop your own industry-specific AI application in legal, compliance, finance, healthcare, or beyond. 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 &amp; Q&amp;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 &amp; 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 &amp; 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.

LLM Bootcamp Pro: Customize & Deploy Large Language Models 

Course syllabus

Three 1-hour live interactive lessons per week on zoom. Recordings and materials are posted after each session. Lessons delivered by instructors on zoom, with team discussions, contributions and feedback. 1:1 Office Hours to accommodate busy professionals.

Monday, Wednesday & Thursday
 06.00 PST/9.00 EST/14.00 GMT 

Optional Capstone. We encourage our students to build your own custom application based on your learnings and our guidance. Each week your instructors will provide project guidance to the whole cohort and your individual contribution will fall due within 1-week, for feedback.

Projects projects

The course is delivered form a live development and production environment so participants can acquire real-life work experience of Custom LLM's, RAG Operations and AI Agents.

Live Production Environment

Data Scientists and Engineers: Looking to advance your skills in fine-tuning and deploying LLMs.

AI Product Managers and Entrepreneurs: Building AI-driven products and seeking a deep understanding of LLMs.

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 legal and compliance applications.

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.

Data Curation Tools, Gradio, AWS, NGINX, Gunicorn, Systemctl, Systemd, PyTorch or TensorFlow, DVC (Data Version Control), Weights &amp; Biases, Docker, Kubernetes, FastAPI, PEFT-LoRA, vLLM.

Career-Boosting Skills: Hugging Face, T5, Bard, Claude, Mistral, ChatGPT, RAG Systems, RAFT Systems, LangChain...

1-hour interactive learning three times per week in a live production environment. (Flexible engagement options for busy professionals) 

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

Head of AI & Full-Stack LLM Architect at Orcawise

Kevin Neary "LLM Product Innovator & Bootcamp Leader"

Top AI Voice | AI Product Innovator | Keynote Speaker | Board Advisor | CEO

Cohort 4

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.

Unlock the world of Generative AI with the right skill set

Saturdays

Coursework and weekly projects 

This course is for professionals who want to break into the tech industry.

This course is for developers who want to develop new cutting edge skills.

This course is for technical leaders who want to lead their teams to build innovative products.

Get a comprehensive introduction to the concepts, current landscape, applications and potential of large language models.

Learn the basics of LLMs
 

Through engaging demonstrations and hands-on exercises, participants will learn the essential techniques and best practices for effectively programming LLMs.

Learn how to program LLMs using Python and Langchain
 

Gain valuable insights into implementing practical applications such as generating answers from proprietary data and developing customised chatbots.

Learn how to use LLMs for a variety of tasks

Through guided instruction and practical exercises, participants will work on real-world projects from inception to deployment, applying their knowledge in a practical setting.

Build your portfolio with end-to-end projects
 

In four weeks, learn to create applications using large language models, empowering you to develop the next generation of digital solutions.


langchain