We don’t just hand over AI—we equip your teams to build it themselves. Our Autonomous Engineering Training is designed to upskill developers, product teams, and data engineers on how to co-create with AI, use autonomous agents, and orchestrate LLM-based solutions.
Key Modules:
Intro to AI Agents and Task Decomposition
Autonomous DevOps and CI/CD with AI
LLM Prompt Engineering and Orchestration
Agentic SDLC: Build, Test, Refactor with AI
AI Pair Programming in VSCode, Replit, or Snowflake Cortex
Client Outcomes:
3x increase in AI project velocity
80% internal adoption of new tools
Autonomous innovation across business units
It’s not a course. It’s a transformation. We teach your teams how to build with AI, not just use it.
Our training enables engineers, analysts, and product teams to design, deploy, and collaborate with autonomous agents. It’s hands-on, code-first, and tailored to your real systems—so the learning sticks and scales.
Anyone building the future—developers, data scientists, product managers, and business technologists.
Whether you’re upskilling a dev team or enabling product owners to prototype with AI, we train cross-functional teams to work with agents, orchestrators, and multi-model workflows in production-grade environments.
From prompt engineering to multi-agent systems, we cover the new AI software stack.
Topics include LLM architecture, agent frameworks, AI debugging, CI/CD for AI, secure prompt routing, and live integrations with tools like Snowflake, Bedrock, and LangChain. Each module includes real-world exercises.
Tailored sprints, live workshops, embedded coaching, or async content—whatever fits your team.
We offer flexible formats: on-site intensives, cohort-based online sessions, or embedded coaching during live AI projects. Teams walk away not just with knowledge—but with working code, reusable assets, and system confidence.