Agentic AI Applications Bootcamp
- An Introduction to Agentic AI and Autonomous Agents
- Context-Aware LLM Application Development
- Multi-Agent System Design with LangGraph
- LangGraph Workflows and Node-based Execution
- Cross-Agent Communication and Interoperability
- Agentic Design Patterns: ReAct, Reflection, CodeAct
- Observability and Monitoring in Agentic Systems
DESIGNED FOR LLM PRACTITIONERS
Basic LLM knowledge and Python required
Our Agentic AI Bootcamp is crafted for learners who already have a foundation in building LLM applications and a basic understanding of Python programming. This program dives deeper into advanced topics like autonomous agents, orchestration frameworks, and multi-agent systems.
With a hands-on, project-based approach, you’ll explore cutting-edge agentic design patterns, build interoperable agent workflows, and deploy intelligent applications. Led by industry experts, this bootcamp equips you with the practical skills to push the boundaries of what’s possible with AI today.
Course Syllabus
A layperson’s overview to get you started with practical Large Language Model (LLM) development.
Building Context-Aware LLM Applications
Use components like Model I/O, loaders, memory, and retrieval chains to develop applications that retain and use context effectively.
Model Context Protocol
Structure input-output flow to ensure LLMs operate within context limits while preserving relevance and continuity.
Multi-Agent Applications
Build collaborative agents using tools and LangGraph to handle complex, multi-step tasks dynamically.
LangGraph Concepts
Explore LangGraph’s node-based workflows, async execution, and memory-aware agent routing.
Vector Databases
Learn efficient vector storage, indexing, retrieval techniques, hybrid search, scaling challenges, and hands-on exercises combining vector and keyword searches.
Interoperability of Agents
Understand how agents communicate and collaborate across platforms like Google A2A and others for seamless orchestration.
Agentic Design Patterns:
Implement reusable LLM behavior patterns like ReAct, Reflection, and CodeAct for dynamic reasoning and action.
Observability and Monitoring
Track, debug, and evaluate agent behavior and LLM performance using robust observability tools.
Bootcamp Project: Build A Multi-Agent LLM Application
On the final day, build and deploy an LLM application using comprehensive datasets, step-by-step guides, ready-to-use templates, and cloud resources. Launch your app on platforms like Streamlit with CI/CD pipelines, gaining real-world deployment and scaling experience.
More than just a course
Our agentic ai bootcamp is not just a training program; it’s a gateway to mastering data science, with a variety of resources to support your learning journey.
Access hundreds of coding exercises, sandboxes, free tutorials and other bonus learning material.
Just bring a laptop
Watch tutorials or practice coding in browser-based Jupyter notebooks and inline code runners. We call our learning platform a complete learning ecosystem.
Personal coding sandboxes
Every attendee gets a dedicated compute and storage pre-configured with relevant libraries and packages.
100s of code samples
In addition to the in-class exercises, attendees receive Python and R code samples that have been pre-tested.
No subscriptions needed
All software licenses, subscriptions, tools, and computing resources are included.
Cohort discussion forum
Get help from course staff, share ideas and discuss with your peers.
Free courses
Dozens of other short courses and coding exercises are included in the registration.
Exclusive alumni community
Join the exclusive community of 11,000+ alumni globally. Discuss, collaborate, and expand your network.
Trusted by Leading Companies
Instructors
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April 30 - aug 13, 2025
Classes Every Wednesday, 9AM – 12PM PST
Online
LLM Lite
20% OFFBest for self-learners attending live
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8 weeks of live sessions (3 hrs/week)
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Course slides & reading materials
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Limited platform access (8 weeks)
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Community forum access
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No software subscriptions
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No recordings
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No certificate
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No extended support
LLM Pro
20% OFFBest for professionals who want flexible learning & hands-on practice
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Everything in LLM lite
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1 year access to learning platform
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Verified certificate
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1 year access to learning resources
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Recordings of all live sessions
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Repository of practice materials
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Tutorials for continued learning
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R/Python Jupyter Notebook
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Software subscriptions
LLM Mastery
Best for career switchers, builders & AI product leads
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Everything in LLM Pro
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5 hours of 1:1 mentoring with instructors
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Personalized capstone project review
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Bonus tutorials: RAG, LangChain, fine-tuning
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Feedback on your prompts & LLM app design
Testimonials
Earn a Verified Certificate
Earn a verified certificate from The University of New Mexico Continuing Education:
- 3 Continuing Education Credit (CEU)
- Acceptable by employers for reimbursements
- Valid for professional licensing renewal
- Verifiable by The University of New Mexico Registrar’s office
- Add to LinkedIn and share with your network
Attend the Data Science Bootcamp for free
We Accept Tuition Benefits
All of our programs are backed by a certificate from The University of New Mexico, Continuing Education. This means that you may be eligible to attend the bootcamp for FREE.
Not sure? Fill out the form so we can help.
Frequently Asked Questions
Are there any prerequisites?
Yes, a very basic level of python programming language.
What is included in the software subscriptions and cloud services credit up to USD $500?
The credit covers expenses related to OpenAI keys, GPU cloud usage, and VMs allocated for your project. While there is no limit on individual credits, the total cumulative usage should not exceed USD $500. For example, if your OpenAI usage approaches this limit, measures will be taken to prevent exceeding the $500 threshold.
Will I be able to build my own ChatGPT-like application after I finish the bootcamp?
Yes. You will leave the bootcamp with your own fully functional LLM application.
What software and subscriptions are included in the registration fee?
1. An assortment of software subscriptions worth $500, enhancing the value of the program.
2. A 12-month unlimited access to all learning resources, allowing for continuous learning and review.
3. A repository of practice materials.
Will there be future bootcamps in other locations or online?
Data Science Dojo has conducted bootcamps in various cities in the past and plans to continue expanding to other locations. They are also exploring options for online bootcamps.
What is the transfer policy?
Transfers are allowed once with no penalty. Transfers requested more than once will incur a $200 processing fee.
Do I need to bring my own laptop? Can we be provided with a device/platform where we can do the assignments?
Yes, you will need to bring your laptop. As for software installation, we use browser-based coding labs. You will not need to install any software on your laptop.
Can I fine-tune the LLM model on my own custom data?
Yes, you can fine-tune the LLM model on your own custom data sources. The bootcamp will provide guidance on how to add custom data sources and fine-tune the model to answer specific questions related to those sources. However, please make sure to get the dataset reviewed before the bootcamp starts to avoid any last-minute inconveniences.
Can I get a certificate of completion after the bootcamp?
Yes, participants who successfully complete the bootcamp will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and demonstrate your expertise in building large language model applications.
Will I have access to the learning platform after the program ends?
Yes, the participants will have access to the learning platform for 12 months after the bootcamp ends.
Can I get support and guidance after the bootcamp?
Yes, Data Science Dojo provides ongoing support and guidance to bootcamp participants even after the program ends. This includes access to a community of fellow participants and instructors who can help answer questions and provide further assistance.
If I have questions during the live instructor-led sessions or while working on homework?
Yes, our live instructor-led sessions are interactive. During these sessions, students are encouraged to ask questions, and our instructors respond without rushing. Additionally, discussions within the scope of the topic being taught are actively encouraged. We understand that questions may arise during homework, and to assist with that, we offer office hours to help unblock students between sessions. Rest assured, you won’t have to figure everything out by yourself – we are committed to providing the support you need for a successful learning experience.
What is the refund policy?
If for any reason, you decide to cancel, we will gladly refund your registration fee in full if notified the Monday prior to the start of the training. We would also be happy to transfer your registration to another bootcamp or workshop. Refunds cannot be processed if you have transferred to a different bootcamp after registration.