Education · AI Agents
AI Agent Bootcamp: build agents people use
End-to-end agent development — from LLM fundamentals and prompt engineering through to architecture, deployment, and ongoing tuning. By the end you will have shipped a working agent against a real workflow, not a toy demo.
5
Module learning path
10×
Productivity gain
Live
Real-world projects
Lifelong
Follow-up support
Curriculum at a glance
- 01
LLM fundamentals
- 02
Advanced prompt engineering
- 03
Agent architecture & design
- 04
Value-driven use cases
- 05
Testing, monitoring & optimization
Bonus. Final projects ship on top of KoalaGains — our flagship AI investment platform — so you build on real data and real evals.
Why now
What you actually get from learning AI agents
Three concrete reasons people show up — and walk away with very different skills than a generic AI course would have given them.
Reclaim hours every week
Once you can build agents, the slow cognitive parts of your job take minutes instead of mornings — up to 10× more time back.
Future-proof your career
AI is rewriting how every industry works. Knowing how to design and ship agents puts you on the right side of that shift.
Build things that matter
Finance, support, research, ops — the same agent-design playbook works wherever cognitive work is the bottleneck.
How the bootcamp runs
Built around shipping, not slides
Four structural choices that make this bootcamp different from a typical online course.
Hands-on labs
Every concept lands in a lab where you actually build the agent — no passive lectures, no hypothetical examples.
Curriculum tuned to your team
We adapt module weights and example scenarios to what your team or company actually does day to day.
Live data, not toy demos
Final projects deploy against real systems and live data — production-shaped, not slide-shaped.
Follow-up sessions
After the bootcamp ends, we stick around for follow-up reviews to refine the agents you took home.
The five-module path
How you progress, module by module
Each module ends with a concrete outcome — something you can do, not just something you have seen.
Module 01
LLM fundamentals
You stop treating models as black boxes and start reasoning about token economics, context limits, and where they fail.
Module 02
Advanced prompt engineering
You can take a vague task and craft a prompt that returns reliable, structured output the first time — not the fifth.
Module 03
Agent architecture & design
You can sketch an agent that uses tools, holds memory, and runs a planning loop — without copying a tutorial.
Module 04
Value-driven use cases
You can pick the right business problem for an agent — the one where the ROI is obvious and the failure cost is bounded.
Module 05
Testing, monitoring & optimization
You can ship an agent to production with real eval coverage, observability, and a plan for tuning it after launch.
Practice on real ground
Final projects ship on KoalaGains
KoalaGains — DoDAO’s flagship AI investment platform — provides the live data, report generation, and visual analytics you build against. You end the bootcamp with an agent running on a real-world data stack, not a sandbox.
Who shows up
The same curriculum is tuned three different ways depending on whether you bring a team, a class, or just yourself.
Enterprises
Upskill an internal team so you stop sending agent work to external vendors. Curriculum is tuned to your stack and workflows.
Universities
Equip CS, business, and engineering students with the agent skills hiring managers are starting to expect by default.
Developers
Add agent-design to your toolkit so you can take on AI-shaped work without learning it on someone else’s production system.
Bring the bootcamp to your team
We will tailor the modules, scenarios, and final project to what your organization actually needs to ship.